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Automated Leaderboard Update

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Files changed (30) hide show
  1. all_data_tasks/0/default.jsonl +0 -0
  2. all_data_tasks/1/default.jsonl +0 -0
  3. all_data_tasks/10/default.jsonl +20 -20
  4. all_data_tasks/11/default.jsonl +20 -20
  5. all_data_tasks/12/default.jsonl +20 -20
  6. all_data_tasks/13/default.jsonl +20 -20
  7. all_data_tasks/2/default.jsonl +0 -0
  8. all_data_tasks/3/default.jsonl +0 -0
  9. all_data_tasks/4/default.jsonl +0 -0
  10. all_data_tasks/40/default.jsonl +26 -25
  11. all_data_tasks/5/default.jsonl +0 -0
  12. all_data_tasks/6/default.jsonl +0 -0
  13. all_data_tasks/8/default.jsonl +20 -20
  14. all_data_tasks/9/default.jsonl +20 -20
  15. boards_data/en/data_overall/default.jsonl +0 -0
  16. boards_data/en/data_tasks/Classification/default.jsonl +0 -0
  17. boards_data/en/data_tasks/Clustering/default.jsonl +0 -0
  18. boards_data/en/data_tasks/PairClassification/default.jsonl +0 -0
  19. boards_data/en/data_tasks/Reranking/default.jsonl +0 -0
  20. boards_data/en/data_tasks/Retrieval/default.jsonl +0 -0
  21. boards_data/en/data_tasks/STS/default.jsonl +0 -0
  22. boards_data/en/data_tasks/Summarization/default.jsonl +0 -0
  23. boards_data/other-sts/data_tasks/STS/default.jsonl +26 -25
  24. boards_data/zh/data_overall/default.jsonl +20 -20
  25. boards_data/zh/data_tasks/Classification/default.jsonl +20 -20
  26. boards_data/zh/data_tasks/Clustering/default.jsonl +20 -20
  27. boards_data/zh/data_tasks/PairClassification/default.jsonl +20 -20
  28. boards_data/zh/data_tasks/Reranking/default.jsonl +20 -20
  29. boards_data/zh/data_tasks/Retrieval/default.jsonl +20 -20
  30. boards_data/zh/data_tasks/STS/default.jsonl +20 -20
all_data_tasks/0/default.jsonl CHANGED
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all_data_tasks/1/default.jsonl CHANGED
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all_data_tasks/10/default.jsonl CHANGED
@@ -28,7 +28,7 @@
28
  {"index":24,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
29
  {"index":40,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
30
  {"index":41,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
31
- {"index":342,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.35,"Cmnli":85.33,"Ocnli":79.37}
32
  {"index":30,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":81.62,"Cmnli":85.29,"Ocnli":77.96}
33
  {"index":48,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
34
  {"index":52,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.9,"Cmnli":86.7,"Ocnli":75.1}
@@ -53,10 +53,10 @@
53
  {"index":200,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":72.19,"Cmnli":80.21,"Ocnli":64.18}
54
  {"index":58,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":71.16,"Cmnli":77.85,"Ocnli":64.47}
55
  {"index":36,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.4,"Cmnli":76.24,"Ocnli":64.57}
56
- {"index":316,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
57
  {"index":314,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
58
  {"index":204,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
59
- {"index":338,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
60
  {"index":300,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
61
  {"index":171,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dumyy\/sft-bge-small\">sft-bge-small<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":67.97,"Cmnli":73.15,"Ocnli":62.79}
62
  {"index":304,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.58,"Cmnli":73.9,"Ocnli":61.26}
@@ -275,20 +275,20 @@
275
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
276
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
277
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
278
- {"index":319,"Rank":322,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
279
- {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
280
- {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
281
- {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
282
- {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
283
- {"index":325,"Rank":328,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","Cmnli":"","Ocnli":""}
284
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","Cmnli":"","Ocnli":""}
285
- {"index":331,"Rank":334,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","Cmnli":"","Ocnli":""}
286
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","Cmnli":"","Ocnli":""}
287
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","Cmnli":"","Ocnli":""}
288
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","Cmnli":"","Ocnli":""}
289
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","Cmnli":"","Ocnli":""}
290
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","Cmnli":"","Ocnli":""}
291
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","Cmnli":"","Ocnli":""}
292
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","Cmnli":"","Ocnli":""}
293
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","Cmnli":"","Ocnli":""}
294
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
 
28
  {"index":24,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
29
  {"index":40,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
30
  {"index":41,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
31
+ {"index":343,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.35,"Cmnli":85.33,"Ocnli":79.37}
32
  {"index":30,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":81.62,"Cmnli":85.29,"Ocnli":77.96}
33
  {"index":48,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
34
  {"index":52,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.9,"Cmnli":86.7,"Ocnli":75.1}
 
53
  {"index":200,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":72.19,"Cmnli":80.21,"Ocnli":64.18}
54
  {"index":58,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":71.16,"Cmnli":77.85,"Ocnli":64.47}
55
  {"index":36,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.4,"Cmnli":76.24,"Ocnli":64.57}
56
+ {"index":317,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
57
  {"index":314,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
58
  {"index":204,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
59
+ {"index":339,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
60
  {"index":300,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
61
  {"index":171,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dumyy\/sft-bge-small\">sft-bge-small<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":67.97,"Cmnli":73.15,"Ocnli":62.79}
62
  {"index":304,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.58,"Cmnli":73.9,"Ocnli":61.26}
 
275
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
276
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
277
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
278
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all_data_tasks/11/default.jsonl CHANGED
@@ -7,7 +7,7 @@
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9
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11
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13
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@@ -44,10 +44,10 @@
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@@ -71,7 +71,7 @@
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@@ -279,19 +279,19 @@
279
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8
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9
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10
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11
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12
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13
  {"index":19,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":68.92,"CMedQAv1":88.2,"CMedQAv2":88.03,"MMarcoReranking":31.65,"T2Reranking":67.8}
 
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45
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46
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47
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50
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51
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52
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281
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284
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287
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all_data_tasks/12/default.jsonl CHANGED
@@ -19,10 +19,10 @@
19
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  {"index":145,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.93,"CmedqaRetrieval":46.78,"CovidRetrieval":81.56,"DuRetrieval":86.55,"EcomRetrieval":67.6,"MedicalRetrieval":64.1,"MMarcoRetrieval":78.42,"T2Retrieval":85.08,"VideoRetrieval":73.32}
24
  {"index":142,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/akarum\/cloudy-large-zh\">cloudy-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":72.92,"CmedqaRetrieval":43.58,"CovidRetrieval":85.83,"DuRetrieval":86.2,"EcomRetrieval":66.99,"MedicalRetrieval":64.23,"MMarcoRetrieval":77.69,"T2Retrieval":84.94,"VideoRetrieval":73.86}
25
- {"index":325,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":72.92,"CmedqaRetrieval":43.58,"CovidRetrieval":85.83,"DuRetrieval":86.2,"EcomRetrieval":66.99,"MedicalRetrieval":64.23,"MMarcoRetrieval":77.69,"T2Retrieval":84.94,"VideoRetrieval":73.86}
26
  {"index":312,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":72.49,"CmedqaRetrieval":43.15,"CovidRetrieval":88.41,"DuRetrieval":85.04,"EcomRetrieval":67.25,"MedicalRetrieval":62.88,"MMarcoRetrieval":77.53,"T2Retrieval":81.93,"VideoRetrieval":73.7}
27
  {"index":193,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.28,"CmedqaRetrieval":45.38,"CovidRetrieval":80.61,"DuRetrieval":85.55,"EcomRetrieval":67.88,"MedicalRetrieval":64.34,"MMarcoRetrieval":77.42,"T2Retrieval":84.5,"VideoRetrieval":72.56}
28
  {"index":22,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":71.95,"CmedqaRetrieval":43.78,"CovidRetrieval":80.6,"DuRetrieval":87.55,"EcomRetrieval":64.85,"MedicalRetrieval":61.93,"MMarcoRetrieval":79.35,"T2Retrieval":84.72,"VideoRetrieval":72.79}
@@ -50,7 +50,7 @@
50
  {"index":218,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
51
  {"index":220,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":68.6,"CmedqaRetrieval":35.93,"CovidRetrieval":78.92,"DuRetrieval":83.13,"EcomRetrieval":60.89,"MedicalRetrieval":56.64,"MMarcoRetrieval":79.69,"T2Retrieval":83.16,"VideoRetrieval":70.43}
52
  {"index":47,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.7,"CmedqaRetrieval":42.69,"CovidRetrieval":75.63,"DuRetrieval":79.89,"EcomRetrieval":64.48,"MedicalRetrieval":59.95,"MMarcoRetrieval":70.75,"T2Retrieval":79.9,"VideoRetrieval":68.3}
53
- {"index":316,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
54
  {"index":314,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
55
  {"index":62,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":65.08,"CmedqaRetrieval":35.58,"CovidRetrieval":73.4,"DuRetrieval":88.18,"EcomRetrieval":54.33,"MedicalRetrieval":55.81,"MMarcoRetrieval":76.54,"T2Retrieval":82.96,"VideoRetrieval":53.85}
56
  {"index":205,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":64.94,"CmedqaRetrieval":34.15,"CovidRetrieval":75.8,"DuRetrieval":85.16,"EcomRetrieval":53.92,"MedicalRetrieval":56.55,"MMarcoRetrieval":78.81,"T2Retrieval":82.92,"VideoRetrieval":52.24}
@@ -70,7 +70,7 @@
70
  {"index":207,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":57.96,"CmedqaRetrieval":23.91,"CovidRetrieval":68.14,"DuRetrieval":72.84,"EcomRetrieval":52.02,"MedicalRetrieval":43.27,"MMarcoRetrieval":74.66,"T2Retrieval":72.81,"VideoRetrieval":56.07}
71
  {"index":242,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.91,"CmedqaRetrieval":30.33,"CovidRetrieval":66.42,"DuRetrieval":75.76,"EcomRetrieval":50.27,"MedicalRetrieval":42.79,"MMarcoRetrieval":65.46,"T2Retrieval":73.14,"VideoRetrieval":51.11}
72
  {"index":243,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.75,"CmedqaRetrieval":30.73,"CovidRetrieval":61.33,"DuRetrieval":74.69,"EcomRetrieval":45.18,"MedicalRetrieval":48.66,"MMarcoRetrieval":61.06,"T2Retrieval":72.36,"VideoRetrieval":44.02}
73
- {"index":338,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":52.0,"CmedqaRetrieval":22.36,"CovidRetrieval":57.21,"DuRetrieval":71.17,"EcomRetrieval":44.49,"MedicalRetrieval":37.92,"MMarcoRetrieval":69.86,"T2Retrieval":69.14,"VideoRetrieval":43.85}
74
  {"index":209,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":46.16,"CmedqaRetrieval":20.03,"CovidRetrieval":33.57,"DuRetrieval":56.04,"EcomRetrieval":47.0,"MedicalRetrieval":36.68,"MMarcoRetrieval":69.31,"T2Retrieval":51.57,"VideoRetrieval":55.07}
75
  {"index":306,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.4,"CmedqaRetrieval":18.04,"CovidRetrieval":55.48,"DuRetrieval":59.36,"EcomRetrieval":40.48,"MedicalRetrieval":29.8,"MMarcoRetrieval":55.31,"T2Retrieval":58.67,"VideoRetrieval":38.04}
76
  {"index":58,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.94,"CmedqaRetrieval":15.53,"CovidRetrieval":60.48,"DuRetrieval":51.87,"EcomRetrieval":37.58,"MedicalRetrieval":30.93,"MMarcoRetrieval":45.96,"T2Retrieval":50.52,"VideoRetrieval":42.65}
@@ -278,19 +278,19 @@
278
  {"index":309,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
279
  {"index":311,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
280
  {"index":313,"Rank":320,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
281
- {"index":319,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
282
- {"index":320,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
283
- {"index":321,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
284
- {"index":322,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
285
- {"index":323,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
286
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
287
- {"index":331,"Rank":334,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
288
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
289
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
290
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
291
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
292
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
293
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
294
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
295
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
296
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
 
19
  {"index":173,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-mrl-large-zh-v3.5-1792d\">stella-mrl-large-zh-v3.5-1792d<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":73.52,"CmedqaRetrieval":46.61,"CovidRetrieval":81.87,"DuRetrieval":86.8,"EcomRetrieval":68.1,"MedicalRetrieval":64.99,"MMarcoRetrieval":79.21,"T2Retrieval":85.85,"VideoRetrieval":74.71}
20
  {"index":224,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.41,"CmedqaRetrieval":44.22,"CovidRetrieval":87.69,"DuRetrieval":86.45,"EcomRetrieval":68.04,"MedicalRetrieval":63.38,"MMarcoRetrieval":78.47,"T2Retrieval":85.45,"VideoRetrieval":73.59}
21
  {"index":116,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.3,"CmedqaRetrieval":43.93,"CovidRetrieval":88.14,"DuRetrieval":86.23,"EcomRetrieval":67.56,"MedicalRetrieval":63.57,"MMarcoRetrieval":78.25,"T2Retrieval":84.58,"VideoRetrieval":74.16}
22
+ {"index":343,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":73.12,"CmedqaRetrieval":47.64,"CovidRetrieval":86.86,"DuRetrieval":88.43,"EcomRetrieval":66.39,"MedicalRetrieval":61.1,"MMarcoRetrieval":80.17,"T2Retrieval":80.11,"VideoRetrieval":74.28}
23
  {"index":145,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.93,"CmedqaRetrieval":46.78,"CovidRetrieval":81.56,"DuRetrieval":86.55,"EcomRetrieval":67.6,"MedicalRetrieval":64.1,"MMarcoRetrieval":78.42,"T2Retrieval":85.08,"VideoRetrieval":73.32}
24
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25
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28
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51
  {"index":220,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":68.6,"CmedqaRetrieval":35.93,"CovidRetrieval":78.92,"DuRetrieval":83.13,"EcomRetrieval":60.89,"MedicalRetrieval":56.64,"MMarcoRetrieval":79.69,"T2Retrieval":83.16,"VideoRetrieval":70.43}
52
  {"index":47,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.7,"CmedqaRetrieval":42.69,"CovidRetrieval":75.63,"DuRetrieval":79.89,"EcomRetrieval":64.48,"MedicalRetrieval":59.95,"MMarcoRetrieval":70.75,"T2Retrieval":79.9,"VideoRetrieval":68.3}
53
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54
  {"index":314,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
55
  {"index":62,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":65.08,"CmedqaRetrieval":35.58,"CovidRetrieval":73.4,"DuRetrieval":88.18,"EcomRetrieval":54.33,"MedicalRetrieval":55.81,"MMarcoRetrieval":76.54,"T2Retrieval":82.96,"VideoRetrieval":53.85}
56
  {"index":205,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":64.94,"CmedqaRetrieval":34.15,"CovidRetrieval":75.8,"DuRetrieval":85.16,"EcomRetrieval":53.92,"MedicalRetrieval":56.55,"MMarcoRetrieval":78.81,"T2Retrieval":82.92,"VideoRetrieval":52.24}
 
70
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71
  {"index":242,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.91,"CmedqaRetrieval":30.33,"CovidRetrieval":66.42,"DuRetrieval":75.76,"EcomRetrieval":50.27,"MedicalRetrieval":42.79,"MMarcoRetrieval":65.46,"T2Retrieval":73.14,"VideoRetrieval":51.11}
72
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73
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74
  {"index":209,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":46.16,"CmedqaRetrieval":20.03,"CovidRetrieval":33.57,"DuRetrieval":56.04,"EcomRetrieval":47.0,"MedicalRetrieval":36.68,"MMarcoRetrieval":69.31,"T2Retrieval":51.57,"VideoRetrieval":55.07}
75
  {"index":306,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.4,"CmedqaRetrieval":18.04,"CovidRetrieval":55.48,"DuRetrieval":59.36,"EcomRetrieval":40.48,"MedicalRetrieval":29.8,"MMarcoRetrieval":55.31,"T2Retrieval":58.67,"VideoRetrieval":38.04}
76
  {"index":58,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.94,"CmedqaRetrieval":15.53,"CovidRetrieval":60.48,"DuRetrieval":51.87,"EcomRetrieval":37.58,"MedicalRetrieval":30.93,"MMarcoRetrieval":45.96,"T2Retrieval":50.52,"VideoRetrieval":42.65}
 
278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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all_data_tasks/13/default.jsonl CHANGED
@@ -18,7 +18,7 @@
18
  {"index":145,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":62.09,"AFQMC":58.81,"ATEC":57.95,"BQ":70.37,"LCQMC":78.17,"PAWSX":45.51,"QBQTC":37.31,"STS22 (zh)":65.85,"STSB":82.73}
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  {"index":307,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
23
  {"index":218,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
24
  {"index":195,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
@@ -28,7 +28,7 @@
28
  {"index":116,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.41,"AFQMC":54.73,"ATEC":55.13,"BQ":64.89,"LCQMC":75.12,"PAWSX":37.93,"QBQTC":34.21,"STS22 (zh)":64.54,"STSB":80.72}
29
  {"index":194,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.3,"AFQMC":54.49,"ATEC":54.45,"BQ":62.38,"LCQMC":76.28,"PAWSX":37.97,"QBQTC":37.84,"STS22 (zh)":67.28,"STSB":75.71}
30
  {"index":278,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.02,"AFQMC":54.17,"ATEC":54.28,"BQ":62.31,"LCQMC":75.81,"PAWSX":38.31,"QBQTC":38.22,"STS22 (zh)":66.66,"STSB":74.43}
31
- {"index":332,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":57.91,"AFQMC":43.45,"ATEC":48.01,"BQ":65.58,"LCQMC":75.56,"PAWSX":47.62,"QBQTC":40.43,"STS22 (zh)":67.24,"STSB":75.38}
32
  {"index":312,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":57.82,"AFQMC":54.58,"ATEC":54.6,"BQ":64.41,"LCQMC":74.4,"PAWSX":38.55,"QBQTC":33.36,"STS22 (zh)":62.98,"STSB":79.68}
33
  {"index":54,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":57.08,"AFQMC":46.98,"ATEC":51.35,"BQ":65.08,"LCQMC":76.96,"PAWSX":30.03,"QBQTC":37.5,"STS22 (zh)":69.2,"STSB":79.57}
34
  {"index":192,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":56.92,"AFQMC":46.73,"ATEC":51.22,"BQ":64.8,"LCQMC":76.89,"PAWSX":29.7,"QBQTC":37.38,"STS22 (zh)":69.02,"STSB":79.63}
@@ -48,7 +48,7 @@
48
  {"index":242,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.47,"AFQMC":35.87,"ATEC":41.27,"BQ":63.81,"LCQMC":74.88,"PAWSX":12.19,"QBQTC":32.07,"STS22 (zh)":66.73,"STSB":76.97}
49
  {"index":243,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.42,"AFQMC":36.53,"ATEC":41.8,"BQ":65.2,"LCQMC":74.2,"PAWSX":15.95,"QBQTC":32.65,"STS22 (zh)":62.91,"STSB":74.16}
50
  {"index":200,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.22,"AFQMC":38.99,"ATEC":42.84,"BQ":50.63,"LCQMC":75.48,"PAWSX":16.81,"QBQTC":31.8,"STS22 (zh)":63.4,"STSB":81.81}
51
- {"index":316,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
52
  {"index":314,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
53
  {"index":36,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.1,"AFQMC":33.42,"ATEC":43.01,"BQ":55.22,"LCQMC":72.19,"PAWSX":9.26,"QBQTC":35.29,"STS22 (zh)":67.72,"STSB":76.73}
54
  {"index":204,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.29,"AFQMC":33.02,"ATEC":39.81,"BQ":46.44,"LCQMC":75.95,"PAWSX":14.63,"QBQTC":29.77,"STS22 (zh)":65.64,"STSB":81.08}
@@ -58,7 +58,7 @@
58
  {"index":58,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.97,"AFQMC":24.51,"ATEC":32.45,"BQ":44.22,"LCQMC":69.16,"PAWSX":14.55,"QBQTC":29.51,"STS22 (zh)":65.94,"STSB":79.45}
59
  {"index":48,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.62,"AFQMC":22.57,"ATEC":30.3,"BQ":40.98,"LCQMC":68.4,"PAWSX":15.08,"QBQTC":27.92,"STS22 (zh)":61.58,"STSB":82.17}
60
  {"index":304,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.41,"AFQMC":26.06,"ATEC":31.93,"BQ":42.67,"LCQMC":70.16,"PAWSX":17.21,"QBQTC":24.62,"STS22 (zh)":55.35,"STSB":79.3}
61
- {"index":338,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":43.35,"AFQMC":23.88,"ATEC":29.25,"BQ":45.33,"LCQMC":68.41,"PAWSX":16.55,"QBQTC":30.27,"STS22 (zh)":62.53,"STSB":70.61}
62
  {"index":306,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":42.78,"AFQMC":22.24,"ATEC":30.84,"BQ":43.33,"LCQMC":66.74,"PAWSX":12.31,"QBQTC":27.2,"STS22 (zh)":66.4,"STSB":73.22}
63
  {"index":209,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":42.57,"AFQMC":25.32,"ATEC":33.46,"BQ":43.93,"LCQMC":71.98,"PAWSX":14.23,"QBQTC":32.92,"STS22 (zh)":40.97,"STSB":77.77}
64
  {"index":52,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84}
@@ -278,19 +278,19 @@
278
  {"index":309,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
279
  {"index":311,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
280
  {"index":313,"Rank":320,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
281
- {"index":319,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
282
- {"index":320,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
283
- {"index":321,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
284
- {"index":322,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
285
- {"index":323,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
286
- {"index":325,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
287
- {"index":326,"Rank":330,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
288
- {"index":331,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
289
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
290
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
291
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
292
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
293
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
294
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
295
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
296
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
 
18
  {"index":145,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":62.09,"AFQMC":58.81,"ATEC":57.95,"BQ":70.37,"LCQMC":78.17,"PAWSX":45.51,"QBQTC":37.31,"STS22 (zh)":65.85,"STSB":82.73}
19
  {"index":18,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
20
  {"index":236,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
21
+ {"index":343,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
22
  {"index":307,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
23
  {"index":218,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
24
  {"index":195,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
 
28
  {"index":116,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.41,"AFQMC":54.73,"ATEC":55.13,"BQ":64.89,"LCQMC":75.12,"PAWSX":37.93,"QBQTC":34.21,"STS22 (zh)":64.54,"STSB":80.72}
29
  {"index":194,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.3,"AFQMC":54.49,"ATEC":54.45,"BQ":62.38,"LCQMC":76.28,"PAWSX":37.97,"QBQTC":37.84,"STS22 (zh)":67.28,"STSB":75.71}
30
  {"index":278,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.02,"AFQMC":54.17,"ATEC":54.28,"BQ":62.31,"LCQMC":75.81,"PAWSX":38.31,"QBQTC":38.22,"STS22 (zh)":66.66,"STSB":74.43}
31
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32
  {"index":312,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":57.82,"AFQMC":54.58,"ATEC":54.6,"BQ":64.41,"LCQMC":74.4,"PAWSX":38.55,"QBQTC":33.36,"STS22 (zh)":62.98,"STSB":79.68}
33
  {"index":54,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":57.08,"AFQMC":46.98,"ATEC":51.35,"BQ":65.08,"LCQMC":76.96,"PAWSX":30.03,"QBQTC":37.5,"STS22 (zh)":69.2,"STSB":79.57}
34
  {"index":192,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":56.92,"AFQMC":46.73,"ATEC":51.22,"BQ":64.8,"LCQMC":76.89,"PAWSX":29.7,"QBQTC":37.38,"STS22 (zh)":69.02,"STSB":79.63}
 
48
  {"index":242,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.47,"AFQMC":35.87,"ATEC":41.27,"BQ":63.81,"LCQMC":74.88,"PAWSX":12.19,"QBQTC":32.07,"STS22 (zh)":66.73,"STSB":76.97}
49
  {"index":243,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.42,"AFQMC":36.53,"ATEC":41.8,"BQ":65.2,"LCQMC":74.2,"PAWSX":15.95,"QBQTC":32.65,"STS22 (zh)":62.91,"STSB":74.16}
50
  {"index":200,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.22,"AFQMC":38.99,"ATEC":42.84,"BQ":50.63,"LCQMC":75.48,"PAWSX":16.81,"QBQTC":31.8,"STS22 (zh)":63.4,"STSB":81.81}
51
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52
  {"index":314,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
53
  {"index":36,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.1,"AFQMC":33.42,"ATEC":43.01,"BQ":55.22,"LCQMC":72.19,"PAWSX":9.26,"QBQTC":35.29,"STS22 (zh)":67.72,"STSB":76.73}
54
  {"index":204,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.29,"AFQMC":33.02,"ATEC":39.81,"BQ":46.44,"LCQMC":75.95,"PAWSX":14.63,"QBQTC":29.77,"STS22 (zh)":65.64,"STSB":81.08}
 
58
  {"index":58,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.97,"AFQMC":24.51,"ATEC":32.45,"BQ":44.22,"LCQMC":69.16,"PAWSX":14.55,"QBQTC":29.51,"STS22 (zh)":65.94,"STSB":79.45}
59
  {"index":48,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.62,"AFQMC":22.57,"ATEC":30.3,"BQ":40.98,"LCQMC":68.4,"PAWSX":15.08,"QBQTC":27.92,"STS22 (zh)":61.58,"STSB":82.17}
60
  {"index":304,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.41,"AFQMC":26.06,"ATEC":31.93,"BQ":42.67,"LCQMC":70.16,"PAWSX":17.21,"QBQTC":24.62,"STS22 (zh)":55.35,"STSB":79.3}
61
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62
  {"index":306,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":42.78,"AFQMC":22.24,"ATEC":30.84,"BQ":43.33,"LCQMC":66.74,"PAWSX":12.31,"QBQTC":27.2,"STS22 (zh)":66.4,"STSB":73.22}
63
  {"index":209,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":42.57,"AFQMC":25.32,"ATEC":33.46,"BQ":43.93,"LCQMC":71.98,"PAWSX":14.23,"QBQTC":32.92,"STS22 (zh)":40.97,"STSB":77.77}
64
  {"index":52,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84}
 
278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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@@ -265,28 +265,29 @@
265
  {"index":264,"Rank":265,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.07}
266
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267
  {"index":266,"Rank":267,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":44.39}
268
- {"index":267,"Rank":268,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.08}
269
- {"index":268,"Rank":269,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.93}
270
- {"index":269,"Rank":270,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":77.91,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":80.28}
271
- {"index":270,"Rank":271,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":71.11,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":81.24}
272
- {"index":271,"Rank":272,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.77}
273
- {"index":272,"Rank":273,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.69}
274
- {"index":273,"Rank":274,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":0.8}
275
- {"index":274,"Rank":275,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.84}
276
- {"index":275,"Rank":276,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":80.31,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
277
- {"index":276,"Rank":277,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.92}
278
- {"index":277,"Rank":278,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-quant\">gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.4}
279
- {"index":278,"Rank":279,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.45}
280
- {"index":279,"Rank":280,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.13}
281
- {"index":280,"Rank":281,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.28}
282
- {"index":281,"Rank":282,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":70.01,"STSBenchmark":85.99}
283
- {"index":282,"Rank":283,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.47}
284
- {"index":283,"Rank":284,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.78}
285
- {"index":284,"Rank":285,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.32}
286
- {"index":285,"Rank":286,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.02}
287
- {"index":286,"Rank":287,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.08}
288
- {"index":287,"Rank":288,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":81.09,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":64.5,"STS22 (zh-en)":"","STSBenchmark":83.17}
289
- {"index":288,"Rank":289,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.34}
290
- {"index":289,"Rank":290,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.56}
291
- {"index":290,"Rank":291,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.24}
292
- {"index":291,"Rank":292,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.54}
 
 
265
  {"index":264,"Rank":265,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.07}
266
  {"index":265,"Rank":266,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.57}
267
  {"index":266,"Rank":267,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":44.39}
268
+ {"index":267,"Rank":268,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tomaarsen\/mxbai-embed-large-v1-exported\">mxbai-embed-large-v1-exported<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":89.1}
269
+ {"index":268,"Rank":269,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.08}
270
+ {"index":269,"Rank":270,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.93}
271
+ {"index":270,"Rank":271,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":77.91,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":80.28}
272
+ {"index":271,"Rank":272,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":71.11,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":81.24}
273
+ {"index":272,"Rank":273,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.77}
274
+ {"index":273,"Rank":274,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.69}
275
+ {"index":274,"Rank":275,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":0.8}
276
+ {"index":275,"Rank":276,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.84}
277
+ {"index":276,"Rank":277,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":80.31,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
278
+ {"index":277,"Rank":278,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.92}
279
+ {"index":278,"Rank":279,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-quant\">gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.4}
280
+ {"index":279,"Rank":280,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.45}
281
+ {"index":280,"Rank":281,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.13}
282
+ {"index":281,"Rank":282,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.28}
283
+ {"index":282,"Rank":283,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":70.01,"STSBenchmark":85.99}
284
+ {"index":283,"Rank":284,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.47}
285
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286
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287
+ {"index":286,"Rank":287,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.02}
288
+ {"index":287,"Rank":288,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.08}
289
+ {"index":288,"Rank":289,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":81.09,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":64.5,"STS22 (zh-en)":"","STSBenchmark":83.17}
290
+ {"index":289,"Rank":290,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.34}
291
+ {"index":290,"Rank":291,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.56}
292
+ {"index":291,"Rank":292,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.24}
293
+ {"index":292,"Rank":293,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.54}
all_data_tasks/5/default.jsonl CHANGED
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all_data_tasks/6/default.jsonl CHANGED
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all_data_tasks/8/default.jsonl CHANGED
@@ -9,7 +9,7 @@
9
  {"index":303,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shhy1995\/AGE_Hybrid\">AGE_Hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.14,"AmazonReviewsClassification (zh)":49.68,"IFlyTek":51.77,"JDReview":86.94,"MassiveIntentClassification (zh-CN)":80.6,"MassiveScenarioClassification (zh-CN)":87.42,"MultilingualSentiment":75.92,"OnlineShopping":94.03,"TNews":52.69,"Waimai":88.23}
10
  {"index":32,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":74.11,"AmazonReviewsClassification (zh)":54.34,"IFlyTek":49.94,"JDReview":88.91,"MassiveIntentClassification (zh-CN)":78.19,"MassiveScenarioClassification (zh-CN)":82.58,"MultilingualSentiment":78.91,"OnlineShopping":94.59,"TNews":50.26,"Waimai":89.26}
11
  {"index":17,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":73.36,"AmazonReviewsClassification (zh)":52.95,"IFlyTek":53.77,"JDReview":88.2,"MassiveIntentClassification (zh-CN)":76.25,"MassiveScenarioClassification (zh-CN)":77.26,"MultilingualSentiment":77.42,"OnlineShopping":94.48,"TNews":51.24,"Waimai":88.63}
12
- {"index":342,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":72.84,"AmazonReviewsClassification (zh)":48.3,"IFlyTek":50.75,"JDReview":87.69,"MassiveIntentClassification (zh-CN)":74.91,"MassiveScenarioClassification (zh-CN)":81.28,"MultilingualSentiment":76.83,"OnlineShopping":94.42,"TNews":52.62,"Waimai":88.77}
13
  {"index":145,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.75,"AmazonReviewsClassification (zh)":48.54,"IFlyTek":51.77,"JDReview":86.7,"MassiveIntentClassification (zh-CN)":75.87,"MassiveScenarioClassification (zh-CN)":78.44,"MultilingualSentiment":77.53,"OnlineShopping":93.71,"TNews":53.69,"Waimai":88.53}
14
  {"index":62,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":72.67,"AmazonReviewsClassification (zh)":51.01,"IFlyTek":52.7,"JDReview":87.65,"MassiveIntentClassification (zh-CN)":75.69,"MassiveScenarioClassification (zh-CN)":78.47,"MultilingualSentiment":75.51,"OnlineShopping":93.09,"TNews":51.99,"Waimai":87.91}
15
  {"index":14,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1792,"Max Tokens":512,"Average":71.74,"AmazonReviewsClassification (zh)":46.18,"IFlyTek":51.8,"JDReview":86.02,"MassiveIntentClassification (zh-CN)":73.85,"MassiveScenarioClassification (zh-CN)":77.13,"MultilingualSentiment":76.35,"OnlineShopping":93.2,"TNews":53.06,"Waimai":88.1}
@@ -53,9 +53,9 @@
53
  {"index":218,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":64.94,"AmazonReviewsClassification (zh)":34.94,"IFlyTek":47.36,"JDReview":79.57,"MassiveIntentClassification (zh-CN)":68.2,"MassiveScenarioClassification (zh-CN)":71.93,"MultilingualSentiment":63.29,"OnlineShopping":87.0,"TNews":47.65,"Waimai":84.54}
54
  {"index":206,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":64.64,"AmazonReviewsClassification (zh)":38.31,"IFlyTek":47.35,"JDReview":79.34,"MassiveIntentClassification (zh-CN)":62.04,"MassiveScenarioClassification (zh-CN)":68.96,"MultilingualSentiment":64.74,"OnlineShopping":88.73,"TNews":48.38,"Waimai":83.9}
55
  {"index":314,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
56
- {"index":316,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
57
  {"index":300,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":64.37,"AmazonReviewsClassification (zh)":29.75,"IFlyTek":50.93,"JDReview":84.93,"MassiveIntentClassification (zh-CN)":67.46,"MassiveScenarioClassification (zh-CN)":71.6,"MultilingualSentiment":55.9,"OnlineShopping":82.53,"TNews":55.08,"Waimai":81.16}
58
- {"index":338,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":64.31,"AmazonReviewsClassification (zh)":38.3,"IFlyTek":44.62,"JDReview":74.6,"MassiveIntentClassification (zh-CN)":64.81,"MassiveScenarioClassification (zh-CN)":71.4,"MultilingualSentiment":67.99,"OnlineShopping":88.94,"TNews":45.77,"Waimai":82.37}
59
  {"index":22,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":64.27,"AmazonReviewsClassification (zh)":33.34,"IFlyTek":44.59,"JDReview":79.27,"MassiveIntentClassification (zh-CN)":69.62,"MassiveScenarioClassification (zh-CN)":74.4,"MultilingualSentiment":61.02,"OnlineShopping":84.85,"TNews":48.73,"Waimai":82.58}
60
  {"index":203,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":64.23,"AmazonReviewsClassification (zh)":38.34,"IFlyTek":44.93,"JDReview":76.21,"MassiveIntentClassification (zh-CN)":63.22,"MassiveScenarioClassification (zh-CN)":70.24,"MultilingualSentiment":65.28,"OnlineShopping":88.4,"TNews":47.06,"Waimai":84.42}
61
  {"index":36,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":63.96,"AmazonReviewsClassification (zh)":35.91,"IFlyTek":45.49,"JDReview":80.04,"MassiveIntentClassification (zh-CN)":63.95,"MassiveScenarioClassification (zh-CN)":70.8,"MultilingualSentiment":63.06,"OnlineShopping":85.05,"TNews":48.15,"Waimai":83.18}
@@ -276,20 +276,20 @@
276
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
277
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
278
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
279
- {"index":319,"Rank":322,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
280
- {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
281
- {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
282
- {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
283
- {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
284
- {"index":325,"Rank":328,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
285
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
286
- {"index":331,"Rank":334,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
287
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
288
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
289
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
290
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
291
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
292
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
293
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
294
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
295
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
 
9
  {"index":303,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shhy1995\/AGE_Hybrid\">AGE_Hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.14,"AmazonReviewsClassification (zh)":49.68,"IFlyTek":51.77,"JDReview":86.94,"MassiveIntentClassification (zh-CN)":80.6,"MassiveScenarioClassification (zh-CN)":87.42,"MultilingualSentiment":75.92,"OnlineShopping":94.03,"TNews":52.69,"Waimai":88.23}
10
  {"index":32,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":74.11,"AmazonReviewsClassification (zh)":54.34,"IFlyTek":49.94,"JDReview":88.91,"MassiveIntentClassification (zh-CN)":78.19,"MassiveScenarioClassification (zh-CN)":82.58,"MultilingualSentiment":78.91,"OnlineShopping":94.59,"TNews":50.26,"Waimai":89.26}
11
  {"index":17,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":73.36,"AmazonReviewsClassification (zh)":52.95,"IFlyTek":53.77,"JDReview":88.2,"MassiveIntentClassification (zh-CN)":76.25,"MassiveScenarioClassification (zh-CN)":77.26,"MultilingualSentiment":77.42,"OnlineShopping":94.48,"TNews":51.24,"Waimai":88.63}
12
+ {"index":343,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":72.84,"AmazonReviewsClassification (zh)":48.3,"IFlyTek":50.75,"JDReview":87.69,"MassiveIntentClassification (zh-CN)":74.91,"MassiveScenarioClassification (zh-CN)":81.28,"MultilingualSentiment":76.83,"OnlineShopping":94.42,"TNews":52.62,"Waimai":88.77}
13
  {"index":145,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.75,"AmazonReviewsClassification (zh)":48.54,"IFlyTek":51.77,"JDReview":86.7,"MassiveIntentClassification (zh-CN)":75.87,"MassiveScenarioClassification (zh-CN)":78.44,"MultilingualSentiment":77.53,"OnlineShopping":93.71,"TNews":53.69,"Waimai":88.53}
14
  {"index":62,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":72.67,"AmazonReviewsClassification (zh)":51.01,"IFlyTek":52.7,"JDReview":87.65,"MassiveIntentClassification (zh-CN)":75.69,"MassiveScenarioClassification (zh-CN)":78.47,"MultilingualSentiment":75.51,"OnlineShopping":93.09,"TNews":51.99,"Waimai":87.91}
15
  {"index":14,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1792,"Max Tokens":512,"Average":71.74,"AmazonReviewsClassification (zh)":46.18,"IFlyTek":51.8,"JDReview":86.02,"MassiveIntentClassification (zh-CN)":73.85,"MassiveScenarioClassification (zh-CN)":77.13,"MultilingualSentiment":76.35,"OnlineShopping":93.2,"TNews":53.06,"Waimai":88.1}
 
53
  {"index":218,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":64.94,"AmazonReviewsClassification (zh)":34.94,"IFlyTek":47.36,"JDReview":79.57,"MassiveIntentClassification (zh-CN)":68.2,"MassiveScenarioClassification (zh-CN)":71.93,"MultilingualSentiment":63.29,"OnlineShopping":87.0,"TNews":47.65,"Waimai":84.54}
54
  {"index":206,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":64.64,"AmazonReviewsClassification (zh)":38.31,"IFlyTek":47.35,"JDReview":79.34,"MassiveIntentClassification (zh-CN)":62.04,"MassiveScenarioClassification (zh-CN)":68.96,"MultilingualSentiment":64.74,"OnlineShopping":88.73,"TNews":48.38,"Waimai":83.9}
55
  {"index":314,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
56
+ {"index":317,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
57
  {"index":300,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":64.37,"AmazonReviewsClassification (zh)":29.75,"IFlyTek":50.93,"JDReview":84.93,"MassiveIntentClassification (zh-CN)":67.46,"MassiveScenarioClassification (zh-CN)":71.6,"MultilingualSentiment":55.9,"OnlineShopping":82.53,"TNews":55.08,"Waimai":81.16}
58
+ {"index":339,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":64.31,"AmazonReviewsClassification (zh)":38.3,"IFlyTek":44.62,"JDReview":74.6,"MassiveIntentClassification (zh-CN)":64.81,"MassiveScenarioClassification (zh-CN)":71.4,"MultilingualSentiment":67.99,"OnlineShopping":88.94,"TNews":45.77,"Waimai":82.37}
59
  {"index":22,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":64.27,"AmazonReviewsClassification (zh)":33.34,"IFlyTek":44.59,"JDReview":79.27,"MassiveIntentClassification (zh-CN)":69.62,"MassiveScenarioClassification (zh-CN)":74.4,"MultilingualSentiment":61.02,"OnlineShopping":84.85,"TNews":48.73,"Waimai":82.58}
60
  {"index":203,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":64.23,"AmazonReviewsClassification (zh)":38.34,"IFlyTek":44.93,"JDReview":76.21,"MassiveIntentClassification (zh-CN)":63.22,"MassiveScenarioClassification (zh-CN)":70.24,"MultilingualSentiment":65.28,"OnlineShopping":88.4,"TNews":47.06,"Waimai":84.42}
61
  {"index":36,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":63.96,"AmazonReviewsClassification (zh)":35.91,"IFlyTek":45.49,"JDReview":80.04,"MassiveIntentClassification (zh-CN)":63.95,"MassiveScenarioClassification (zh-CN)":70.8,"MultilingualSentiment":63.06,"OnlineShopping":85.05,"TNews":48.15,"Waimai":83.18}
 
276
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
277
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
278
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
279
+ {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
280
+ {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
281
+ {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
282
+ {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
283
+ {"index":324,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
284
+ {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
285
+ {"index":327,"Rank":330,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
286
+ {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
287
+ {"index":333,"Rank":336,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
288
+ {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
289
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290
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291
+ {"index":338,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
292
+ {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
293
+ {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
294
+ {"index":342,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
295
+ {"index":344,"Rank":345,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
all_data_tasks/9/default.jsonl CHANGED
@@ -10,7 +10,7 @@
10
  {"index":38,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1792,"Max Tokens":512,"Average":61.98,"CLSClusteringP2P":56.35,"CLSClusteringS2S":48.49,"ThuNewsClusteringP2P":74.55,"ThuNewsClusteringS2S":68.55}
11
  {"index":32,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":59.3,"CLSClusteringP2P":54.65,"CLSClusteringS2S":63.68,"ThuNewsClusteringP2P":64.32,"ThuNewsClusteringS2S":54.57}
12
  {"index":145,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":58.7,"CLSClusteringP2P":47.08,"CLSClusteringS2S":44.05,"ThuNewsClusteringP2P":74.66,"ThuNewsClusteringS2S":69.0}
13
- {"index":342,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":56.88,"CLSClusteringP2P":60.37,"CLSClusteringS2S":51.09,"ThuNewsClusteringP2P":58.23,"ThuNewsClusteringS2S":57.83}
14
  {"index":224,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.62,"CLSClusteringP2P":43.24,"CLSClusteringS2S":41.23,"ThuNewsClusteringP2P":70.06,"ThuNewsClusteringS2S":63.94}
15
  {"index":236,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.61,"CLSClusteringP2P":45.21,"CLSClusteringS2S":42.5,"ThuNewsClusteringP2P":68.24,"ThuNewsClusteringS2S":62.5}
16
  {"index":18,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":54.61,"CLSClusteringP2P":45.21,"CLSClusteringS2S":42.5,"ThuNewsClusteringP2P":68.24,"ThuNewsClusteringS2S":62.5}
@@ -33,7 +33,7 @@
33
  {"index":24,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
34
  {"index":23,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
35
  {"index":30,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
36
- {"index":316,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
37
  {"index":314,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
38
  {"index":41,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.88,"CLSClusteringP2P":42.46,"CLSClusteringS2S":40.38,"ThuNewsClusteringP2P":58.54,"ThuNewsClusteringS2S":54.15}
39
  {"index":243,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.88,"CLSClusteringP2P":38.6,"CLSClusteringS2S":38.02,"ThuNewsClusteringP2P":60.39,"ThuNewsClusteringS2S":58.51}
@@ -52,7 +52,7 @@
52
  {"index":278,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":47.04,"CLSClusteringP2P":38.98,"CLSClusteringS2S":36.04,"ThuNewsClusteringP2P":60.58,"ThuNewsClusteringS2S":52.56}
53
  {"index":307,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
54
  {"index":218,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
55
- {"index":338,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.68,"CLSClusteringP2P":38.26,"CLSClusteringS2S":35.91,"ThuNewsClusteringP2P":58.71,"ThuNewsClusteringS2S":49.86}
56
  {"index":206,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":45.26,"CLSClusteringP2P":39.14,"CLSClusteringS2S":37.79,"ThuNewsClusteringP2P":55.18,"ThuNewsClusteringS2S":48.93}
57
  {"index":306,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
58
  {"index":36,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
@@ -275,20 +275,20 @@
275
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
276
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
277
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
278
- {"index":319,"Rank":322,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
279
- {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
280
- {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
281
- {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
282
- {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
283
- {"index":325,"Rank":328,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
284
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
285
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286
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
287
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288
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
289
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
290
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
291
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
292
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
293
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
294
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
 
10
  {"index":38,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1792,"Max Tokens":512,"Average":61.98,"CLSClusteringP2P":56.35,"CLSClusteringS2S":48.49,"ThuNewsClusteringP2P":74.55,"ThuNewsClusteringS2S":68.55}
11
  {"index":32,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":59.3,"CLSClusteringP2P":54.65,"CLSClusteringS2S":63.68,"ThuNewsClusteringP2P":64.32,"ThuNewsClusteringS2S":54.57}
12
  {"index":145,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":58.7,"CLSClusteringP2P":47.08,"CLSClusteringS2S":44.05,"ThuNewsClusteringP2P":74.66,"ThuNewsClusteringS2S":69.0}
13
+ {"index":343,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":56.88,"CLSClusteringP2P":60.37,"CLSClusteringS2S":51.09,"ThuNewsClusteringP2P":58.23,"ThuNewsClusteringS2S":57.83}
14
  {"index":224,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.62,"CLSClusteringP2P":43.24,"CLSClusteringS2S":41.23,"ThuNewsClusteringP2P":70.06,"ThuNewsClusteringS2S":63.94}
15
  {"index":236,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.61,"CLSClusteringP2P":45.21,"CLSClusteringS2S":42.5,"ThuNewsClusteringP2P":68.24,"ThuNewsClusteringS2S":62.5}
16
  {"index":18,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":54.61,"CLSClusteringP2P":45.21,"CLSClusteringS2S":42.5,"ThuNewsClusteringP2P":68.24,"ThuNewsClusteringS2S":62.5}
 
33
  {"index":24,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
34
  {"index":23,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
35
  {"index":30,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
36
+ {"index":317,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
37
  {"index":314,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
38
  {"index":41,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.88,"CLSClusteringP2P":42.46,"CLSClusteringS2S":40.38,"ThuNewsClusteringP2P":58.54,"ThuNewsClusteringS2S":54.15}
39
  {"index":243,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.88,"CLSClusteringP2P":38.6,"CLSClusteringS2S":38.02,"ThuNewsClusteringP2P":60.39,"ThuNewsClusteringS2S":58.51}
 
52
  {"index":278,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":47.04,"CLSClusteringP2P":38.98,"CLSClusteringS2S":36.04,"ThuNewsClusteringP2P":60.58,"ThuNewsClusteringS2S":52.56}
53
  {"index":307,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
54
  {"index":218,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
55
+ {"index":339,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.68,"CLSClusteringP2P":38.26,"CLSClusteringS2S":35.91,"ThuNewsClusteringP2P":58.71,"ThuNewsClusteringS2S":49.86}
56
  {"index":206,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":45.26,"CLSClusteringP2P":39.14,"CLSClusteringS2S":37.79,"ThuNewsClusteringP2P":55.18,"ThuNewsClusteringS2S":48.93}
57
  {"index":306,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
58
  {"index":36,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
 
275
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
276
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
277
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
278
+ {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
279
+ {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
280
+ {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
281
+ {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
282
+ {"index":324,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
283
+ {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
284
+ {"index":327,"Rank":330,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
285
+ {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
286
+ {"index":333,"Rank":336,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
287
+ {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
288
+ {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
289
+ {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
290
+ {"index":338,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
291
+ {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
292
+ {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
293
+ {"index":342,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
294
+ {"index":344,"Rank":345,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
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boards_data/other-sts/data_tasks/STS/default.jsonl CHANGED
@@ -265,28 +265,29 @@
265
  {"index":264,"Rank":265,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.07}
266
  {"index":265,"Rank":266,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.57}
267
  {"index":266,"Rank":267,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":44.39}
268
- {"index":267,"Rank":268,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.08}
269
- {"index":268,"Rank":269,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.93}
270
- {"index":269,"Rank":270,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":77.91,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":80.28}
271
- {"index":270,"Rank":271,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":71.11,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":81.24}
272
- {"index":271,"Rank":272,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.77}
273
- {"index":272,"Rank":273,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.69}
274
- {"index":273,"Rank":274,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":0.8}
275
- {"index":274,"Rank":275,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.84}
276
- {"index":275,"Rank":276,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":80.31,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
277
- {"index":276,"Rank":277,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.92}
278
- {"index":277,"Rank":278,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-quant\">gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.4}
279
- {"index":278,"Rank":279,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.45}
280
- {"index":279,"Rank":280,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.13}
281
- {"index":280,"Rank":281,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.28}
282
- {"index":281,"Rank":282,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":70.01,"STSBenchmark":85.99}
283
- {"index":282,"Rank":283,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.47}
284
- {"index":283,"Rank":284,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.78}
285
- {"index":284,"Rank":285,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.32}
286
- {"index":285,"Rank":286,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.02}
287
- {"index":286,"Rank":287,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.08}
288
- {"index":287,"Rank":288,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":81.09,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":64.5,"STS22 (zh-en)":"","STSBenchmark":83.17}
289
- {"index":288,"Rank":289,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.34}
290
- {"index":289,"Rank":290,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.56}
291
- {"index":290,"Rank":291,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.24}
292
- {"index":291,"Rank":292,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.54}
 
 
265
  {"index":264,"Rank":265,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":86.07}
266
  {"index":265,"Rank":266,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.57}
267
  {"index":266,"Rank":267,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":44.39}
268
+ {"index":267,"Rank":268,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tomaarsen\/mxbai-embed-large-v1-exported\">mxbai-embed-large-v1-exported<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":89.1}
269
+ {"index":268,"Rank":269,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":77.08}
270
+ {"index":269,"Rank":270,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.93}
271
+ {"index":270,"Rank":271,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":77.91,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":80.28}
272
+ {"index":271,"Rank":272,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":71.11,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":81.24}
273
+ {"index":272,"Rank":273,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.77}
274
+ {"index":273,"Rank":274,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":82.69}
275
+ {"index":274,"Rank":275,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":0.8}
276
+ {"index":275,"Rank":276,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.84}
277
+ {"index":276,"Rank":277,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":80.31,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
278
+ {"index":277,"Rank":278,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.92}
279
+ {"index":278,"Rank":279,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-quant\">gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.4}
280
+ {"index":279,"Rank":280,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.45}
281
+ {"index":280,"Rank":281,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-small-quant\">gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.13}
282
+ {"index":281,"Rank":282,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.28}
283
+ {"index":282,"Rank":283,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":70.01,"STSBenchmark":85.99}
284
+ {"index":283,"Rank":284,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":85.47}
285
+ {"index":284,"Rank":285,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.78}
286
+ {"index":285,"Rank":286,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.32}
287
+ {"index":286,"Rank":287,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.02}
288
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289
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290
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291
+ {"index":290,"Rank":291,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":83.56}
292
+ {"index":291,"Rank":292,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":84.24}
293
+ {"index":292,"Rank":293,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.54}
boards_data/zh/data_overall/default.jsonl CHANGED
@@ -13,7 +13,7 @@
13
  {"index":173,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-mrl-large-zh-v3.5-1792d\">stella-mrl-large-zh-v3.5-1792d<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average (35 datasets)":68.55,"Classification Average (9 datasets)":71.56,"Clustering Average (4 datasets)":54.32,"PairClassification Average (2 datasets)":88.08,"Reranking Average (4 datasets)":68.45,"Retrieval Average (8 datasets)":73.52,"STS Average (8 datasets)":62.48}
14
  {"index":172,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-large-zh-v3-1792d\">stella-large-zh-v3-1792d<\/a>","Model Size (Million Parameters)":325,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average (35 datasets)":68.48,"Classification Average (9 datasets)":71.5,"Clustering Average (4 datasets)":53.9,"PairClassification Average (2 datasets)":88.1,"Reranking Average (4 datasets)":68.26,"Retrieval Average (8 datasets)":73.6,"STS Average (8 datasets)":62.46}
15
  {"index":32,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average (35 datasets)":68.44,"Classification Average (9 datasets)":74.11,"Clustering Average (4 datasets)":59.3,"PairClassification Average (2 datasets)":86.67,"Reranking Average (4 datasets)":68.28,"Retrieval Average (8 datasets)":73.73,"STS Average (8 datasets)":56.87}
16
- {"index":342,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":68.34,"Classification Average (9 datasets)":72.84,"Clustering Average (4 datasets)":56.88,"PairClassification Average (2 datasets)":82.35,"Reranking Average (4 datasets)":69.67,"Retrieval Average (8 datasets)":73.12,"STS Average (8 datasets)":60.07}
17
  {"index":193,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":1792,"Max Tokens":1024,"Average (35 datasets)":67.96,"Classification Average (9 datasets)":71.12,"Clustering Average (4 datasets)":53.3,"PairClassification Average (2 datasets)":87.93,"Reranking Average (4 datasets)":67.84,"Retrieval Average (8 datasets)":72.28,"STS Average (8 datasets)":62.49}
18
  {"index":236,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":67.65,"Classification Average (9 datasets)":71.12,"Clustering Average (4 datasets)":54.61,"PairClassification Average (2 datasets)":86.91,"Reranking Average (4 datasets)":68.21,"Retrieval Average (8 datasets)":71.86,"STS Average (8 datasets)":60.96}
19
  {"index":18,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average (35 datasets)":67.65,"Classification Average (9 datasets)":71.12,"Clustering Average (4 datasets)":54.61,"PairClassification Average (2 datasets)":86.91,"Reranking Average (4 datasets)":68.21,"Retrieval Average (8 datasets)":71.86,"STS Average (8 datasets)":60.96}
@@ -43,7 +43,7 @@
43
  {"index":40,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":62.09,"Classification Average (9 datasets)":67.89,"Clustering Average (4 datasets)":48.81,"PairClassification Average (2 datasets)":82.38,"Reranking Average (4 datasets)":63.2,"Retrieval Average (8 datasets)":64.11,"STS Average (8 datasets)":54.55}
44
  {"index":300,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average (35 datasets)":61.77,"Classification Average (9 datasets)":64.37,"Clustering Average (4 datasets)":48.05,"PairClassification Average (2 datasets)":68.76,"Reranking Average (4 datasets)":61.48,"Retrieval Average (8 datasets)":58.2,"STS Average (8 datasets)":67.66}
45
  {"index":200,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (35 datasets)":60.89,"Classification Average (9 datasets)":70.47,"Clustering Average (4 datasets)":52.3,"PairClassification Average (2 datasets)":72.19,"Reranking Average (4 datasets)":61.86,"Retrieval Average (8 datasets)":61.75,"STS Average (8 datasets)":50.22}
46
- {"index":316,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":60.08,"Classification Average (9 datasets)":64.49,"Clustering Average (4 datasets)":48.95,"PairClassification Average (2 datasets)":70.0,"Reranking Average (4 datasets)":66.22,"Retrieval Average (8 datasets)":65.5,"STS Average (8 datasets)":49.72}
47
  {"index":314,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average (35 datasets)":60.08,"Classification Average (9 datasets)":64.49,"Clustering Average (4 datasets)":48.95,"PairClassification Average (2 datasets)":70.0,"Reranking Average (4 datasets)":66.22,"Retrieval Average (8 datasets)":65.5,"STS Average (8 datasets)":49.72}
48
  {"index":39,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":59.77,"Classification Average (9 datasets)":67.08,"Clustering Average (4 datasets)":47.21,"PairClassification Average (2 datasets)":78.77,"Reranking Average (4 datasets)":61.35,"Retrieval Average (8 datasets)":60.6,"STS Average (8 datasets)":51.45}
49
  {"index":247,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/m3e-ernie-xbase-zh\">m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":59.03,"Classification Average (9 datasets)":68.83,"Clustering Average (4 datasets)":48.64,"PairClassification Average (2 datasets)":62.84,"Reranking Average (4 datasets)":60.96,"Retrieval Average (8 datasets)":59.76,"STS Average (8 datasets)":50.54}
@@ -54,7 +54,7 @@
54
  {"index":207,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average (35 datasets)":56.03,"Classification Average (9 datasets)":65.31,"Clustering Average (4 datasets)":42.42,"PairClassification Average (2 datasets)":74.96,"Reranking Average (4 datasets)":56.27,"Retrieval Average (8 datasets)":57.96,"STS Average (8 datasets)":45.6}
55
  {"index":203,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (35 datasets)":55.92,"Classification Average (9 datasets)":64.23,"Clustering Average (4 datasets)":40.68,"PairClassification Average (2 datasets)":67.07,"Reranking Average (4 datasets)":54.35,"Retrieval Average (8 datasets)":61.63,"STS Average (8 datasets)":46.49}
56
  {"index":206,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":55.8,"Classification Average (9 datasets)":64.64,"Clustering Average (4 datasets)":45.26,"PairClassification Average (2 datasets)":66.45,"Reranking Average (4 datasets)":53.86,"Retrieval Average (8 datasets)":59.95,"STS Average (8 datasets)":45.27}
57
- {"index":338,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (35 datasets)":53.73,"Classification Average (9 datasets)":64.31,"Clustering Average (4 datasets)":45.68,"PairClassification Average (2 datasets)":69.56,"Reranking Average (4 datasets)":54.28,"Retrieval Average (8 datasets)":52.0,"STS Average (8 datasets)":43.35}
58
  {"index":209,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average (35 datasets)":51.55,"Classification Average (9 datasets)":62.85,"Clustering Average (4 datasets)":42.42,"PairClassification Average (2 datasets)":72.38,"Reranking Average (4 datasets)":53.62,"Retrieval Average (8 datasets)":46.16,"STS Average (8 datasets)":42.57}
59
  {"index":306,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":50.12,"Classification Average (9 datasets)":61.0,"Clustering Average (4 datasets)":44.39,"PairClassification Average (2 datasets)":66.64,"Reranking Average (4 datasets)":49.25,"Retrieval Average (8 datasets)":44.4,"STS Average (8 datasets)":42.78}
60
  {"index":304,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":48.6,"Classification Average (9 datasets)":62.19,"Clustering Average (4 datasets)":37.66,"PairClassification Average (2 datasets)":67.58,"Reranking Average (4 datasets)":49.45,"Retrieval Average (8 datasets)":38.79,"STS Average (8 datasets)":43.41}
@@ -278,20 +278,20 @@
278
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
279
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
280
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
281
- {"index":319,"Rank":322,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
282
- {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
283
- {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
284
- {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
285
- {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
286
- {"index":325,"Rank":328,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":66.04,"Retrieval Average (8 datasets)":72.92,"STS Average (8 datasets)":""}
287
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
288
- {"index":331,"Rank":334,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
289
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":57.91}
290
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
291
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
292
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
293
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
294
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
295
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
296
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
297
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
 
13
  {"index":173,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-mrl-large-zh-v3.5-1792d\">stella-mrl-large-zh-v3.5-1792d<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average (35 datasets)":68.55,"Classification Average (9 datasets)":71.56,"Clustering Average (4 datasets)":54.32,"PairClassification Average (2 datasets)":88.08,"Reranking Average (4 datasets)":68.45,"Retrieval Average (8 datasets)":73.52,"STS Average (8 datasets)":62.48}
14
  {"index":172,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-large-zh-v3-1792d\">stella-large-zh-v3-1792d<\/a>","Model Size (Million Parameters)":325,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average (35 datasets)":68.48,"Classification Average (9 datasets)":71.5,"Clustering Average (4 datasets)":53.9,"PairClassification Average (2 datasets)":88.1,"Reranking Average (4 datasets)":68.26,"Retrieval Average (8 datasets)":73.6,"STS Average (8 datasets)":62.46}
15
  {"index":32,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average (35 datasets)":68.44,"Classification Average (9 datasets)":74.11,"Clustering Average (4 datasets)":59.3,"PairClassification Average (2 datasets)":86.67,"Reranking Average (4 datasets)":68.28,"Retrieval Average (8 datasets)":73.73,"STS Average (8 datasets)":56.87}
16
+ {"index":343,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":68.34,"Classification Average (9 datasets)":72.84,"Clustering Average (4 datasets)":56.88,"PairClassification Average (2 datasets)":82.35,"Reranking Average (4 datasets)":69.67,"Retrieval Average (8 datasets)":73.12,"STS Average (8 datasets)":60.07}
17
  {"index":193,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":1792,"Max Tokens":1024,"Average (35 datasets)":67.96,"Classification Average (9 datasets)":71.12,"Clustering Average (4 datasets)":53.3,"PairClassification Average (2 datasets)":87.93,"Reranking Average (4 datasets)":67.84,"Retrieval Average (8 datasets)":72.28,"STS Average (8 datasets)":62.49}
18
  {"index":236,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":67.65,"Classification Average (9 datasets)":71.12,"Clustering Average (4 datasets)":54.61,"PairClassification Average (2 datasets)":86.91,"Reranking Average (4 datasets)":68.21,"Retrieval Average (8 datasets)":71.86,"STS Average (8 datasets)":60.96}
19
  {"index":18,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average (35 datasets)":67.65,"Classification Average (9 datasets)":71.12,"Clustering Average (4 datasets)":54.61,"PairClassification Average (2 datasets)":86.91,"Reranking Average (4 datasets)":68.21,"Retrieval Average (8 datasets)":71.86,"STS Average (8 datasets)":60.96}
 
43
  {"index":40,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":62.09,"Classification Average (9 datasets)":67.89,"Clustering Average (4 datasets)":48.81,"PairClassification Average (2 datasets)":82.38,"Reranking Average (4 datasets)":63.2,"Retrieval Average (8 datasets)":64.11,"STS Average (8 datasets)":54.55}
44
  {"index":300,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average (35 datasets)":61.77,"Classification Average (9 datasets)":64.37,"Clustering Average (4 datasets)":48.05,"PairClassification Average (2 datasets)":68.76,"Reranking Average (4 datasets)":61.48,"Retrieval Average (8 datasets)":58.2,"STS Average (8 datasets)":67.66}
45
  {"index":200,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (35 datasets)":60.89,"Classification Average (9 datasets)":70.47,"Clustering Average (4 datasets)":52.3,"PairClassification Average (2 datasets)":72.19,"Reranking Average (4 datasets)":61.86,"Retrieval Average (8 datasets)":61.75,"STS Average (8 datasets)":50.22}
46
+ {"index":317,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":60.08,"Classification Average (9 datasets)":64.49,"Clustering Average (4 datasets)":48.95,"PairClassification Average (2 datasets)":70.0,"Reranking Average (4 datasets)":66.22,"Retrieval Average (8 datasets)":65.5,"STS Average (8 datasets)":49.72}
47
  {"index":314,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average (35 datasets)":60.08,"Classification Average (9 datasets)":64.49,"Clustering Average (4 datasets)":48.95,"PairClassification Average (2 datasets)":70.0,"Reranking Average (4 datasets)":66.22,"Retrieval Average (8 datasets)":65.5,"STS Average (8 datasets)":49.72}
48
  {"index":39,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":59.77,"Classification Average (9 datasets)":67.08,"Clustering Average (4 datasets)":47.21,"PairClassification Average (2 datasets)":78.77,"Reranking Average (4 datasets)":61.35,"Retrieval Average (8 datasets)":60.6,"STS Average (8 datasets)":51.45}
49
  {"index":247,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/m3e-ernie-xbase-zh\">m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":59.03,"Classification Average (9 datasets)":68.83,"Clustering Average (4 datasets)":48.64,"PairClassification Average (2 datasets)":62.84,"Reranking Average (4 datasets)":60.96,"Retrieval Average (8 datasets)":59.76,"STS Average (8 datasets)":50.54}
 
54
  {"index":207,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average (35 datasets)":56.03,"Classification Average (9 datasets)":65.31,"Clustering Average (4 datasets)":42.42,"PairClassification Average (2 datasets)":74.96,"Reranking Average (4 datasets)":56.27,"Retrieval Average (8 datasets)":57.96,"STS Average (8 datasets)":45.6}
55
  {"index":203,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (35 datasets)":55.92,"Classification Average (9 datasets)":64.23,"Clustering Average (4 datasets)":40.68,"PairClassification Average (2 datasets)":67.07,"Reranking Average (4 datasets)":54.35,"Retrieval Average (8 datasets)":61.63,"STS Average (8 datasets)":46.49}
56
  {"index":206,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":55.8,"Classification Average (9 datasets)":64.64,"Clustering Average (4 datasets)":45.26,"PairClassification Average (2 datasets)":66.45,"Reranking Average (4 datasets)":53.86,"Retrieval Average (8 datasets)":59.95,"STS Average (8 datasets)":45.27}
57
+ {"index":339,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (35 datasets)":53.73,"Classification Average (9 datasets)":64.31,"Clustering Average (4 datasets)":45.68,"PairClassification Average (2 datasets)":69.56,"Reranking Average (4 datasets)":54.28,"Retrieval Average (8 datasets)":52.0,"STS Average (8 datasets)":43.35}
58
  {"index":209,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average (35 datasets)":51.55,"Classification Average (9 datasets)":62.85,"Clustering Average (4 datasets)":42.42,"PairClassification Average (2 datasets)":72.38,"Reranking Average (4 datasets)":53.62,"Retrieval Average (8 datasets)":46.16,"STS Average (8 datasets)":42.57}
59
  {"index":306,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":50.12,"Classification Average (9 datasets)":61.0,"Clustering Average (4 datasets)":44.39,"PairClassification Average (2 datasets)":66.64,"Reranking Average (4 datasets)":49.25,"Retrieval Average (8 datasets)":44.4,"STS Average (8 datasets)":42.78}
60
  {"index":304,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":48.6,"Classification Average (9 datasets)":62.19,"Clustering Average (4 datasets)":37.66,"PairClassification Average (2 datasets)":67.58,"Reranking Average (4 datasets)":49.45,"Retrieval Average (8 datasets)":38.79,"STS Average (8 datasets)":43.41}
 
278
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
279
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
280
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
281
+ {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
282
+ {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
283
+ {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
284
+ {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
285
+ {"index":324,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
286
+ {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":66.04,"Retrieval Average (8 datasets)":72.92,"STS Average (8 datasets)":""}
287
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293
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294
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295
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296
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297
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boards_data/zh/data_tasks/Classification/default.jsonl CHANGED
@@ -9,7 +9,7 @@
9
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10
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13
  {"index":145,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.75,"AmazonReviewsClassification (zh)":48.54,"IFlyTek":51.77,"JDReview":86.7,"MassiveIntentClassification (zh-CN)":75.87,"MassiveScenarioClassification (zh-CN)":78.44,"MultilingualSentiment":77.53,"OnlineShopping":93.71,"TNews":53.69,"Waimai":88.53}
14
  {"index":62,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":72.67,"AmazonReviewsClassification (zh)":51.01,"IFlyTek":52.7,"JDReview":87.65,"MassiveIntentClassification (zh-CN)":75.69,"MassiveScenarioClassification (zh-CN)":78.47,"MultilingualSentiment":75.51,"OnlineShopping":93.09,"TNews":51.99,"Waimai":87.91}
15
  {"index":14,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1792,"Max Tokens":512,"Average":71.74,"AmazonReviewsClassification (zh)":46.18,"IFlyTek":51.8,"JDReview":86.02,"MassiveIntentClassification (zh-CN)":73.85,"MassiveScenarioClassification (zh-CN)":77.13,"MultilingualSentiment":76.35,"OnlineShopping":93.2,"TNews":53.06,"Waimai":88.1}
@@ -53,9 +53,9 @@
53
  {"index":218,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":64.94,"AmazonReviewsClassification (zh)":34.94,"IFlyTek":47.36,"JDReview":79.57,"MassiveIntentClassification (zh-CN)":68.2,"MassiveScenarioClassification (zh-CN)":71.93,"MultilingualSentiment":63.29,"OnlineShopping":87.0,"TNews":47.65,"Waimai":84.54}
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  {"index":206,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":64.64,"AmazonReviewsClassification (zh)":38.31,"IFlyTek":47.35,"JDReview":79.34,"MassiveIntentClassification (zh-CN)":62.04,"MassiveScenarioClassification (zh-CN)":68.96,"MultilingualSentiment":64.74,"OnlineShopping":88.73,"TNews":48.38,"Waimai":83.9}
55
  {"index":314,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
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- {"index":316,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
57
  {"index":300,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":64.37,"AmazonReviewsClassification (zh)":29.75,"IFlyTek":50.93,"JDReview":84.93,"MassiveIntentClassification (zh-CN)":67.46,"MassiveScenarioClassification (zh-CN)":71.6,"MultilingualSentiment":55.9,"OnlineShopping":82.53,"TNews":55.08,"Waimai":81.16}
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- {"index":338,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":64.31,"AmazonReviewsClassification (zh)":38.3,"IFlyTek":44.62,"JDReview":74.6,"MassiveIntentClassification (zh-CN)":64.81,"MassiveScenarioClassification (zh-CN)":71.4,"MultilingualSentiment":67.99,"OnlineShopping":88.94,"TNews":45.77,"Waimai":82.37}
59
  {"index":22,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":64.27,"AmazonReviewsClassification (zh)":33.34,"IFlyTek":44.59,"JDReview":79.27,"MassiveIntentClassification (zh-CN)":69.62,"MassiveScenarioClassification (zh-CN)":74.4,"MultilingualSentiment":61.02,"OnlineShopping":84.85,"TNews":48.73,"Waimai":82.58}
60
  {"index":203,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":64.23,"AmazonReviewsClassification (zh)":38.34,"IFlyTek":44.93,"JDReview":76.21,"MassiveIntentClassification (zh-CN)":63.22,"MassiveScenarioClassification (zh-CN)":70.24,"MultilingualSentiment":65.28,"OnlineShopping":88.4,"TNews":47.06,"Waimai":84.42}
61
  {"index":36,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":63.96,"AmazonReviewsClassification (zh)":35.91,"IFlyTek":45.49,"JDReview":80.04,"MassiveIntentClassification (zh-CN)":63.95,"MassiveScenarioClassification (zh-CN)":70.8,"MultilingualSentiment":63.06,"OnlineShopping":85.05,"TNews":48.15,"Waimai":83.18}
@@ -276,20 +276,20 @@
276
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
277
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
278
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
279
- {"index":319,"Rank":322,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
280
- {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
281
- {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
282
- {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
283
- {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
284
- {"index":325,"Rank":328,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
285
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
286
- {"index":331,"Rank":334,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
287
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
288
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289
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290
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291
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
292
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
293
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
294
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
295
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
 
9
  {"index":303,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shhy1995\/AGE_Hybrid\">AGE_Hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.14,"AmazonReviewsClassification (zh)":49.68,"IFlyTek":51.77,"JDReview":86.94,"MassiveIntentClassification (zh-CN)":80.6,"MassiveScenarioClassification (zh-CN)":87.42,"MultilingualSentiment":75.92,"OnlineShopping":94.03,"TNews":52.69,"Waimai":88.23}
10
  {"index":32,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":74.11,"AmazonReviewsClassification (zh)":54.34,"IFlyTek":49.94,"JDReview":88.91,"MassiveIntentClassification (zh-CN)":78.19,"MassiveScenarioClassification (zh-CN)":82.58,"MultilingualSentiment":78.91,"OnlineShopping":94.59,"TNews":50.26,"Waimai":89.26}
11
  {"index":17,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":73.36,"AmazonReviewsClassification (zh)":52.95,"IFlyTek":53.77,"JDReview":88.2,"MassiveIntentClassification (zh-CN)":76.25,"MassiveScenarioClassification (zh-CN)":77.26,"MultilingualSentiment":77.42,"OnlineShopping":94.48,"TNews":51.24,"Waimai":88.63}
12
+ {"index":343,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":72.84,"AmazonReviewsClassification (zh)":48.3,"IFlyTek":50.75,"JDReview":87.69,"MassiveIntentClassification (zh-CN)":74.91,"MassiveScenarioClassification (zh-CN)":81.28,"MultilingualSentiment":76.83,"OnlineShopping":94.42,"TNews":52.62,"Waimai":88.77}
13
  {"index":145,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.75,"AmazonReviewsClassification (zh)":48.54,"IFlyTek":51.77,"JDReview":86.7,"MassiveIntentClassification (zh-CN)":75.87,"MassiveScenarioClassification (zh-CN)":78.44,"MultilingualSentiment":77.53,"OnlineShopping":93.71,"TNews":53.69,"Waimai":88.53}
14
  {"index":62,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":72.67,"AmazonReviewsClassification (zh)":51.01,"IFlyTek":52.7,"JDReview":87.65,"MassiveIntentClassification (zh-CN)":75.69,"MassiveScenarioClassification (zh-CN)":78.47,"MultilingualSentiment":75.51,"OnlineShopping":93.09,"TNews":51.99,"Waimai":87.91}
15
  {"index":14,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1792,"Max Tokens":512,"Average":71.74,"AmazonReviewsClassification (zh)":46.18,"IFlyTek":51.8,"JDReview":86.02,"MassiveIntentClassification (zh-CN)":73.85,"MassiveScenarioClassification (zh-CN)":77.13,"MultilingualSentiment":76.35,"OnlineShopping":93.2,"TNews":53.06,"Waimai":88.1}
 
53
  {"index":218,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":64.94,"AmazonReviewsClassification (zh)":34.94,"IFlyTek":47.36,"JDReview":79.57,"MassiveIntentClassification (zh-CN)":68.2,"MassiveScenarioClassification (zh-CN)":71.93,"MultilingualSentiment":63.29,"OnlineShopping":87.0,"TNews":47.65,"Waimai":84.54}
54
  {"index":206,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":64.64,"AmazonReviewsClassification (zh)":38.31,"IFlyTek":47.35,"JDReview":79.34,"MassiveIntentClassification (zh-CN)":62.04,"MassiveScenarioClassification (zh-CN)":68.96,"MultilingualSentiment":64.74,"OnlineShopping":88.73,"TNews":48.38,"Waimai":83.9}
55
  {"index":314,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
56
+ {"index":317,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
57
  {"index":300,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":64.37,"AmazonReviewsClassification (zh)":29.75,"IFlyTek":50.93,"JDReview":84.93,"MassiveIntentClassification (zh-CN)":67.46,"MassiveScenarioClassification (zh-CN)":71.6,"MultilingualSentiment":55.9,"OnlineShopping":82.53,"TNews":55.08,"Waimai":81.16}
58
+ {"index":339,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":64.31,"AmazonReviewsClassification (zh)":38.3,"IFlyTek":44.62,"JDReview":74.6,"MassiveIntentClassification (zh-CN)":64.81,"MassiveScenarioClassification (zh-CN)":71.4,"MultilingualSentiment":67.99,"OnlineShopping":88.94,"TNews":45.77,"Waimai":82.37}
59
  {"index":22,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":64.27,"AmazonReviewsClassification (zh)":33.34,"IFlyTek":44.59,"JDReview":79.27,"MassiveIntentClassification (zh-CN)":69.62,"MassiveScenarioClassification (zh-CN)":74.4,"MultilingualSentiment":61.02,"OnlineShopping":84.85,"TNews":48.73,"Waimai":82.58}
60
  {"index":203,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":64.23,"AmazonReviewsClassification (zh)":38.34,"IFlyTek":44.93,"JDReview":76.21,"MassiveIntentClassification (zh-CN)":63.22,"MassiveScenarioClassification (zh-CN)":70.24,"MultilingualSentiment":65.28,"OnlineShopping":88.4,"TNews":47.06,"Waimai":84.42}
61
  {"index":36,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":63.96,"AmazonReviewsClassification (zh)":35.91,"IFlyTek":45.49,"JDReview":80.04,"MassiveIntentClassification (zh-CN)":63.95,"MassiveScenarioClassification (zh-CN)":70.8,"MultilingualSentiment":63.06,"OnlineShopping":85.05,"TNews":48.15,"Waimai":83.18}
 
276
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
277
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
278
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
279
+ {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
280
+ {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
281
+ {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
282
+ {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
283
+ {"index":324,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
284
+ {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
285
+ {"index":327,"Rank":330,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
286
+ {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
287
+ {"index":333,"Rank":336,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
288
+ {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
289
+ {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
290
+ {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
291
+ {"index":338,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
292
+ {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
293
+ {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
294
+ {"index":342,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
295
+ {"index":344,"Rank":345,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
boards_data/zh/data_tasks/Clustering/default.jsonl CHANGED
@@ -10,7 +10,7 @@
10
  {"index":38,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1792,"Max Tokens":512,"Average":61.98,"CLSClusteringP2P":56.35,"CLSClusteringS2S":48.49,"ThuNewsClusteringP2P":74.55,"ThuNewsClusteringS2S":68.55}
11
  {"index":32,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":59.3,"CLSClusteringP2P":54.65,"CLSClusteringS2S":63.68,"ThuNewsClusteringP2P":64.32,"ThuNewsClusteringS2S":54.57}
12
  {"index":145,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":58.7,"CLSClusteringP2P":47.08,"CLSClusteringS2S":44.05,"ThuNewsClusteringP2P":74.66,"ThuNewsClusteringS2S":69.0}
13
- {"index":342,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":56.88,"CLSClusteringP2P":60.37,"CLSClusteringS2S":51.09,"ThuNewsClusteringP2P":58.23,"ThuNewsClusteringS2S":57.83}
14
  {"index":224,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.62,"CLSClusteringP2P":43.24,"CLSClusteringS2S":41.23,"ThuNewsClusteringP2P":70.06,"ThuNewsClusteringS2S":63.94}
15
  {"index":236,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.61,"CLSClusteringP2P":45.21,"CLSClusteringS2S":42.5,"ThuNewsClusteringP2P":68.24,"ThuNewsClusteringS2S":62.5}
16
  {"index":18,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":54.61,"CLSClusteringP2P":45.21,"CLSClusteringS2S":42.5,"ThuNewsClusteringP2P":68.24,"ThuNewsClusteringS2S":62.5}
@@ -33,7 +33,7 @@
33
  {"index":24,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
34
  {"index":23,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
35
  {"index":30,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
36
- {"index":316,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
37
  {"index":314,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
38
  {"index":41,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.88,"CLSClusteringP2P":42.46,"CLSClusteringS2S":40.38,"ThuNewsClusteringP2P":58.54,"ThuNewsClusteringS2S":54.15}
39
  {"index":243,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.88,"CLSClusteringP2P":38.6,"CLSClusteringS2S":38.02,"ThuNewsClusteringP2P":60.39,"ThuNewsClusteringS2S":58.51}
@@ -52,7 +52,7 @@
52
  {"index":278,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":47.04,"CLSClusteringP2P":38.98,"CLSClusteringS2S":36.04,"ThuNewsClusteringP2P":60.58,"ThuNewsClusteringS2S":52.56}
53
  {"index":307,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
54
  {"index":218,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
55
- {"index":338,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.68,"CLSClusteringP2P":38.26,"CLSClusteringS2S":35.91,"ThuNewsClusteringP2P":58.71,"ThuNewsClusteringS2S":49.86}
56
  {"index":206,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":45.26,"CLSClusteringP2P":39.14,"CLSClusteringS2S":37.79,"ThuNewsClusteringP2P":55.18,"ThuNewsClusteringS2S":48.93}
57
  {"index":306,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
58
  {"index":36,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
@@ -275,20 +275,20 @@
275
  {"index":309,"Rank":317,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
276
  {"index":311,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
277
  {"index":313,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
278
- {"index":319,"Rank":322,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
279
- {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
280
- {"index":321,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
281
- {"index":322,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
282
- {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
283
- {"index":325,"Rank":328,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
284
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
285
- {"index":331,"Rank":334,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
286
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
287
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
288
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
289
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
290
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
291
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
292
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
293
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
294
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
 
10
  {"index":38,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1792,"Max Tokens":512,"Average":61.98,"CLSClusteringP2P":56.35,"CLSClusteringS2S":48.49,"ThuNewsClusteringP2P":74.55,"ThuNewsClusteringS2S":68.55}
11
  {"index":32,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":59.3,"CLSClusteringP2P":54.65,"CLSClusteringS2S":63.68,"ThuNewsClusteringP2P":64.32,"ThuNewsClusteringS2S":54.57}
12
  {"index":145,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":58.7,"CLSClusteringP2P":47.08,"CLSClusteringS2S":44.05,"ThuNewsClusteringP2P":74.66,"ThuNewsClusteringS2S":69.0}
13
+ {"index":343,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":56.88,"CLSClusteringP2P":60.37,"CLSClusteringS2S":51.09,"ThuNewsClusteringP2P":58.23,"ThuNewsClusteringS2S":57.83}
14
  {"index":224,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.62,"CLSClusteringP2P":43.24,"CLSClusteringS2S":41.23,"ThuNewsClusteringP2P":70.06,"ThuNewsClusteringS2S":63.94}
15
  {"index":236,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.61,"CLSClusteringP2P":45.21,"CLSClusteringS2S":42.5,"ThuNewsClusteringP2P":68.24,"ThuNewsClusteringS2S":62.5}
16
  {"index":18,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":54.61,"CLSClusteringP2P":45.21,"CLSClusteringS2S":42.5,"ThuNewsClusteringP2P":68.24,"ThuNewsClusteringS2S":62.5}
 
33
  {"index":24,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
34
  {"index":23,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
35
  {"index":30,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
36
+ {"index":317,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
37
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38
  {"index":41,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.88,"CLSClusteringP2P":42.46,"CLSClusteringS2S":40.38,"ThuNewsClusteringP2P":58.54,"ThuNewsClusteringS2S":54.15}
39
  {"index":243,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.88,"CLSClusteringP2P":38.6,"CLSClusteringS2S":38.02,"ThuNewsClusteringP2P":60.39,"ThuNewsClusteringS2S":58.51}
 
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  {"index":278,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":47.04,"CLSClusteringP2P":38.98,"CLSClusteringS2S":36.04,"ThuNewsClusteringP2P":60.58,"ThuNewsClusteringS2S":52.56}
53
  {"index":307,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
54
  {"index":218,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
55
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56
  {"index":206,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":45.26,"CLSClusteringP2P":39.14,"CLSClusteringS2S":37.79,"ThuNewsClusteringP2P":55.18,"ThuNewsClusteringS2S":48.93}
57
  {"index":306,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
58
  {"index":36,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
 
275
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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boards_data/zh/data_tasks/PairClassification/default.jsonl CHANGED
@@ -28,7 +28,7 @@
28
  {"index":24,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
29
  {"index":40,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
30
  {"index":41,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
31
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32
  {"index":30,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":81.62,"Cmnli":85.29,"Ocnli":77.96}
33
  {"index":48,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
34
  {"index":52,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.9,"Cmnli":86.7,"Ocnli":75.1}
@@ -53,10 +53,10 @@
53
  {"index":200,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":72.19,"Cmnli":80.21,"Ocnli":64.18}
54
  {"index":58,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":71.16,"Cmnli":77.85,"Ocnli":64.47}
55
  {"index":36,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.4,"Cmnli":76.24,"Ocnli":64.57}
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- {"index":316,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
57
  {"index":314,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
58
  {"index":204,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
59
- {"index":338,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
60
  {"index":300,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
61
  {"index":171,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dumyy\/sft-bge-small\">sft-bge-small<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":67.97,"Cmnli":73.15,"Ocnli":62.79}
62
  {"index":304,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.58,"Cmnli":73.9,"Ocnli":61.26}
@@ -275,20 +275,20 @@
275
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276
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277
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278
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279
- {"index":320,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
280
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281
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282
- {"index":323,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
283
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284
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290
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292
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293
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29
  {"index":40,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
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  {"index":30,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":81.62,"Cmnli":85.29,"Ocnli":77.96}
33
  {"index":48,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
34
  {"index":52,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.9,"Cmnli":86.7,"Ocnli":75.1}
 
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  {"index":200,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":72.19,"Cmnli":80.21,"Ocnli":64.18}
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  {"index":58,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":71.16,"Cmnli":77.85,"Ocnli":64.47}
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  {"index":36,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.4,"Cmnli":76.24,"Ocnli":64.57}
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276
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277
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278
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279
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280
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282
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boards_data/zh/data_tasks/Reranking/default.jsonl CHANGED
@@ -7,7 +7,7 @@
7
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8
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9
  {"index":38,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1792,"Max Tokens":512,"Average":69.78,"CMedQAv1":89.26,"CMedQAv2":90.05,"MMarcoReranking":32.74,"T2Reranking":67.05}
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11
  {"index":53,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/IYun-large-zh\">IYun-large-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.3,"CMedQAv1":88.74,"CMedQAv2":89.42,"MMarcoReranking":31.61,"T2Reranking":67.45}
12
  {"index":271,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qihoo360\/360Zhinao-search\">360Zhinao-search<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":68.92,"CMedQAv1":87.0,"CMedQAv2":88.48,"MMarcoReranking":32.41,"T2Reranking":67.8}
13
  {"index":19,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":68.92,"CMedQAv1":88.2,"CMedQAv2":88.03,"MMarcoReranking":31.65,"T2Reranking":67.8}
@@ -44,10 +44,10 @@
44
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  {"index":314,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":66.22,"CMedQAv1":86.08,"CMedQAv2":87.26,"MMarcoReranking":26.13,"T2Reranking":65.39}
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- {"index":316,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":66.22,"CMedQAv1":86.08,"CMedQAv2":87.26,"MMarcoReranking":26.13,"T2Reranking":65.39}
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  {"index":192,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.1,"CMedQAv1":84.7,"CMedQAv2":85.31,"MMarcoReranking":28.05,"T2Reranking":66.35}
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  {"index":142,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/akarum\/cloudy-large-zh\">cloudy-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.04,"CMedQAv1":86.1,"CMedQAv2":86.95,"MMarcoReranking":24.26,"T2Reranking":66.83}
50
- {"index":325,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.04,"CMedQAv1":86.1,"CMedQAv2":86.95,"MMarcoReranking":24.26,"T2Reranking":66.83}
51
  {"index":194,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":65.98,"CMedQAv1":84.69,"CMedQAv2":85.23,"MMarcoReranking":27.16,"T2Reranking":66.86}
52
  {"index":278,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":65.98,"CMedQAv1":84.79,"CMedQAv2":84.89,"MMarcoReranking":27.27,"T2Reranking":66.96}
53
  {"index":54,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":65.89,"CMedQAv1":84.67,"CMedQAv2":85.27,"MMarcoReranking":27.84,"T2Reranking":65.79}
@@ -71,7 +71,7 @@
71
  {"index":207,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":56.27,"CMedQAv1":66.06,"CMedQAv2":66.96,"MMarcoReranking":26.14,"T2Reranking":65.94}
72
  {"index":204,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.0,"CMedQAv1":68.25,"CMedQAv2":68.56,"MMarcoReranking":21.34,"T2Reranking":65.83}
73
  {"index":203,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":54.35,"CMedQAv1":65.21,"CMedQAv2":66.06,"MMarcoReranking":21.76,"T2Reranking":64.39}
74
- {"index":338,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":54.28,"CMedQAv1":63.08,"CMedQAv2":64.02,"MMarcoReranking":23.39,"T2Reranking":66.65}
75
  {"index":206,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":53.86,"CMedQAv1":63.44,"CMedQAv2":62.41,"MMarcoReranking":24.33,"T2Reranking":65.24}
76
  {"index":209,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":53.62,"CMedQAv1":63.41,"CMedQAv2":63.66,"MMarcoReranking":23.69,"T2Reranking":63.74}
77
  {"index":304,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":49.45,"CMedQAv1":59.26,"CMedQAv2":59.82,"MMarcoReranking":12.76,"T2Reranking":65.95}
@@ -279,19 +279,19 @@
279
  {"index":309,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
280
  {"index":311,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
281
  {"index":313,"Rank":320,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
282
- {"index":319,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
283
- {"index":320,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
284
- {"index":321,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
285
- {"index":322,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
286
- {"index":323,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
287
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
288
- {"index":331,"Rank":334,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
289
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
290
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
291
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
292
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
293
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
294
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
295
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
296
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
297
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
 
7
  {"index":270,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qihoo360\/360Zhinao-1.8B-Reranking\">360Zhinao-1.8B-Reranking<\/a>","Model Size (Million Parameters)":941,"Memory Usage (GB, fp32)":3.51,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":70.13,"CMedQAv1":86.75,"CMedQAv2":87.92,"MMarcoReranking":37.29,"T2Reranking":68.55}
8
  {"index":279,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh-v2\">piccolo-large-zh-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.0,"CMedQAv1":89.31,"CMedQAv2":90.14,"MMarcoReranking":33.39,"T2Reranking":67.15}
9
  {"index":38,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1792,"Max Tokens":512,"Average":69.78,"CMedQAv1":89.26,"CMedQAv2":90.05,"MMarcoReranking":32.74,"T2Reranking":67.05}
10
+ {"index":343,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":69.67,"CMedQAv1":88.06,"CMedQAv2":88.46,"MMarcoReranking":34.3,"T2Reranking":67.85}
11
  {"index":53,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/IYun-large-zh\">IYun-large-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.3,"CMedQAv1":88.74,"CMedQAv2":89.42,"MMarcoReranking":31.61,"T2Reranking":67.45}
12
  {"index":271,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qihoo360\/360Zhinao-search\">360Zhinao-search<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":68.92,"CMedQAv1":87.0,"CMedQAv2":88.48,"MMarcoReranking":32.41,"T2Reranking":67.8}
13
  {"index":19,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":68.92,"CMedQAv1":88.2,"CMedQAv2":88.03,"MMarcoReranking":31.65,"T2Reranking":67.8}
 
44
  {"index":17,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":66.38,"CMedQAv1":86.37,"CMedQAv2":87.41,"MMarcoReranking":23.64,"T2Reranking":68.11}
45
  {"index":24,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":66.38,"CMedQAv1":85.34,"CMedQAv2":85.81,"MMarcoReranking":27.97,"T2Reranking":66.38}
46
  {"index":314,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":66.22,"CMedQAv1":86.08,"CMedQAv2":87.26,"MMarcoReranking":26.13,"T2Reranking":65.39}
47
+ {"index":317,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":66.22,"CMedQAv1":86.08,"CMedQAv2":87.26,"MMarcoReranking":26.13,"T2Reranking":65.39}
48
  {"index":192,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.1,"CMedQAv1":84.7,"CMedQAv2":85.31,"MMarcoReranking":28.05,"T2Reranking":66.35}
49
  {"index":142,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/akarum\/cloudy-large-zh\">cloudy-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.04,"CMedQAv1":86.1,"CMedQAv2":86.95,"MMarcoReranking":24.26,"T2Reranking":66.83}
50
+ {"index":326,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.04,"CMedQAv1":86.1,"CMedQAv2":86.95,"MMarcoReranking":24.26,"T2Reranking":66.83}
51
  {"index":194,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":65.98,"CMedQAv1":84.69,"CMedQAv2":85.23,"MMarcoReranking":27.16,"T2Reranking":66.86}
52
  {"index":278,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":65.98,"CMedQAv1":84.79,"CMedQAv2":84.89,"MMarcoReranking":27.27,"T2Reranking":66.96}
53
  {"index":54,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":65.89,"CMedQAv1":84.67,"CMedQAv2":85.27,"MMarcoReranking":27.84,"T2Reranking":65.79}
 
71
  {"index":207,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":56.27,"CMedQAv1":66.06,"CMedQAv2":66.96,"MMarcoReranking":26.14,"T2Reranking":65.94}
72
  {"index":204,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.0,"CMedQAv1":68.25,"CMedQAv2":68.56,"MMarcoReranking":21.34,"T2Reranking":65.83}
73
  {"index":203,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":54.35,"CMedQAv1":65.21,"CMedQAv2":66.06,"MMarcoReranking":21.76,"T2Reranking":64.39}
74
+ {"index":339,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":54.28,"CMedQAv1":63.08,"CMedQAv2":64.02,"MMarcoReranking":23.39,"T2Reranking":66.65}
75
  {"index":206,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":53.86,"CMedQAv1":63.44,"CMedQAv2":62.41,"MMarcoReranking":24.33,"T2Reranking":65.24}
76
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77
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boards_data/zh/data_tasks/Retrieval/default.jsonl CHANGED
@@ -19,10 +19,10 @@
19
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21
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22
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24
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28
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@@ -50,7 +50,7 @@
50
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56
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@@ -70,7 +70,7 @@
70
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72
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76
  {"index":58,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.94,"CmedqaRetrieval":15.53,"CovidRetrieval":60.48,"DuRetrieval":51.87,"EcomRetrieval":37.58,"MedicalRetrieval":30.93,"MMarcoRetrieval":45.96,"T2Retrieval":50.52,"VideoRetrieval":42.65}
@@ -278,19 +278,19 @@
278
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279
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280
  {"index":313,"Rank":320,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
281
- {"index":319,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
282
- {"index":320,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
283
- {"index":321,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
284
- {"index":322,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
285
- {"index":323,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
286
- {"index":326,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
287
- {"index":331,"Rank":334,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
288
- {"index":332,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
289
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
290
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
291
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
292
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
293
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
294
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
295
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
296
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
 
19
  {"index":173,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-mrl-large-zh-v3.5-1792d\">stella-mrl-large-zh-v3.5-1792d<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":73.52,"CmedqaRetrieval":46.61,"CovidRetrieval":81.87,"DuRetrieval":86.8,"EcomRetrieval":68.1,"MedicalRetrieval":64.99,"MMarcoRetrieval":79.21,"T2Retrieval":85.85,"VideoRetrieval":74.71}
20
  {"index":224,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.41,"CmedqaRetrieval":44.22,"CovidRetrieval":87.69,"DuRetrieval":86.45,"EcomRetrieval":68.04,"MedicalRetrieval":63.38,"MMarcoRetrieval":78.47,"T2Retrieval":85.45,"VideoRetrieval":73.59}
21
  {"index":116,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.3,"CmedqaRetrieval":43.93,"CovidRetrieval":88.14,"DuRetrieval":86.23,"EcomRetrieval":67.56,"MedicalRetrieval":63.57,"MMarcoRetrieval":78.25,"T2Retrieval":84.58,"VideoRetrieval":74.16}
22
+ {"index":343,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":73.12,"CmedqaRetrieval":47.64,"CovidRetrieval":86.86,"DuRetrieval":88.43,"EcomRetrieval":66.39,"MedicalRetrieval":61.1,"MMarcoRetrieval":80.17,"T2Retrieval":80.11,"VideoRetrieval":74.28}
23
  {"index":145,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.93,"CmedqaRetrieval":46.78,"CovidRetrieval":81.56,"DuRetrieval":86.55,"EcomRetrieval":67.6,"MedicalRetrieval":64.1,"MMarcoRetrieval":78.42,"T2Retrieval":85.08,"VideoRetrieval":73.32}
24
  {"index":142,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/akarum\/cloudy-large-zh\">cloudy-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":72.92,"CmedqaRetrieval":43.58,"CovidRetrieval":85.83,"DuRetrieval":86.2,"EcomRetrieval":66.99,"MedicalRetrieval":64.23,"MMarcoRetrieval":77.69,"T2Retrieval":84.94,"VideoRetrieval":73.86}
25
+ {"index":326,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":72.92,"CmedqaRetrieval":43.58,"CovidRetrieval":85.83,"DuRetrieval":86.2,"EcomRetrieval":66.99,"MedicalRetrieval":64.23,"MMarcoRetrieval":77.69,"T2Retrieval":84.94,"VideoRetrieval":73.86}
26
  {"index":312,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":72.49,"CmedqaRetrieval":43.15,"CovidRetrieval":88.41,"DuRetrieval":85.04,"EcomRetrieval":67.25,"MedicalRetrieval":62.88,"MMarcoRetrieval":77.53,"T2Retrieval":81.93,"VideoRetrieval":73.7}
27
  {"index":193,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":72.28,"CmedqaRetrieval":45.38,"CovidRetrieval":80.61,"DuRetrieval":85.55,"EcomRetrieval":67.88,"MedicalRetrieval":64.34,"MMarcoRetrieval":77.42,"T2Retrieval":84.5,"VideoRetrieval":72.56}
28
  {"index":22,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":71.95,"CmedqaRetrieval":43.78,"CovidRetrieval":80.6,"DuRetrieval":87.55,"EcomRetrieval":64.85,"MedicalRetrieval":61.93,"MMarcoRetrieval":79.35,"T2Retrieval":84.72,"VideoRetrieval":72.79}
 
50
  {"index":218,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
51
  {"index":220,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":68.6,"CmedqaRetrieval":35.93,"CovidRetrieval":78.92,"DuRetrieval":83.13,"EcomRetrieval":60.89,"MedicalRetrieval":56.64,"MMarcoRetrieval":79.69,"T2Retrieval":83.16,"VideoRetrieval":70.43}
52
  {"index":47,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.7,"CmedqaRetrieval":42.69,"CovidRetrieval":75.63,"DuRetrieval":79.89,"EcomRetrieval":64.48,"MedicalRetrieval":59.95,"MMarcoRetrieval":70.75,"T2Retrieval":79.9,"VideoRetrieval":68.3}
53
+ {"index":317,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
54
  {"index":314,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
55
  {"index":62,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":65.08,"CmedqaRetrieval":35.58,"CovidRetrieval":73.4,"DuRetrieval":88.18,"EcomRetrieval":54.33,"MedicalRetrieval":55.81,"MMarcoRetrieval":76.54,"T2Retrieval":82.96,"VideoRetrieval":53.85}
56
  {"index":205,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":64.94,"CmedqaRetrieval":34.15,"CovidRetrieval":75.8,"DuRetrieval":85.16,"EcomRetrieval":53.92,"MedicalRetrieval":56.55,"MMarcoRetrieval":78.81,"T2Retrieval":82.92,"VideoRetrieval":52.24}
 
70
  {"index":207,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":57.96,"CmedqaRetrieval":23.91,"CovidRetrieval":68.14,"DuRetrieval":72.84,"EcomRetrieval":52.02,"MedicalRetrieval":43.27,"MMarcoRetrieval":74.66,"T2Retrieval":72.81,"VideoRetrieval":56.07}
71
  {"index":242,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.91,"CmedqaRetrieval":30.33,"CovidRetrieval":66.42,"DuRetrieval":75.76,"EcomRetrieval":50.27,"MedicalRetrieval":42.79,"MMarcoRetrieval":65.46,"T2Retrieval":73.14,"VideoRetrieval":51.11}
72
  {"index":243,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.75,"CmedqaRetrieval":30.73,"CovidRetrieval":61.33,"DuRetrieval":74.69,"EcomRetrieval":45.18,"MedicalRetrieval":48.66,"MMarcoRetrieval":61.06,"T2Retrieval":72.36,"VideoRetrieval":44.02}
73
+ {"index":339,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":52.0,"CmedqaRetrieval":22.36,"CovidRetrieval":57.21,"DuRetrieval":71.17,"EcomRetrieval":44.49,"MedicalRetrieval":37.92,"MMarcoRetrieval":69.86,"T2Retrieval":69.14,"VideoRetrieval":43.85}
74
  {"index":209,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":46.16,"CmedqaRetrieval":20.03,"CovidRetrieval":33.57,"DuRetrieval":56.04,"EcomRetrieval":47.0,"MedicalRetrieval":36.68,"MMarcoRetrieval":69.31,"T2Retrieval":51.57,"VideoRetrieval":55.07}
75
  {"index":306,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.4,"CmedqaRetrieval":18.04,"CovidRetrieval":55.48,"DuRetrieval":59.36,"EcomRetrieval":40.48,"MedicalRetrieval":29.8,"MMarcoRetrieval":55.31,"T2Retrieval":58.67,"VideoRetrieval":38.04}
76
  {"index":58,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.94,"CmedqaRetrieval":15.53,"CovidRetrieval":60.48,"DuRetrieval":51.87,"EcomRetrieval":37.58,"MedicalRetrieval":30.93,"MMarcoRetrieval":45.96,"T2Retrieval":50.52,"VideoRetrieval":42.65}
 
278
  {"index":309,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
279
  {"index":311,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
280
  {"index":313,"Rank":320,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
+ {"index":342,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
296
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boards_data/zh/data_tasks/STS/default.jsonl CHANGED
@@ -18,7 +18,7 @@
18
  {"index":145,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":62.09,"AFQMC":58.81,"ATEC":57.95,"BQ":70.37,"LCQMC":78.17,"PAWSX":45.51,"QBQTC":37.31,"STS22 (zh)":65.85,"STSB":82.73}
19
  {"index":18,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
20
  {"index":236,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
21
- {"index":342,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
22
  {"index":307,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
23
  {"index":218,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
24
  {"index":195,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
@@ -28,7 +28,7 @@
28
  {"index":116,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.41,"AFQMC":54.73,"ATEC":55.13,"BQ":64.89,"LCQMC":75.12,"PAWSX":37.93,"QBQTC":34.21,"STS22 (zh)":64.54,"STSB":80.72}
29
  {"index":194,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.3,"AFQMC":54.49,"ATEC":54.45,"BQ":62.38,"LCQMC":76.28,"PAWSX":37.97,"QBQTC":37.84,"STS22 (zh)":67.28,"STSB":75.71}
30
  {"index":278,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.02,"AFQMC":54.17,"ATEC":54.28,"BQ":62.31,"LCQMC":75.81,"PAWSX":38.31,"QBQTC":38.22,"STS22 (zh)":66.66,"STSB":74.43}
31
- {"index":332,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":57.91,"AFQMC":43.45,"ATEC":48.01,"BQ":65.58,"LCQMC":75.56,"PAWSX":47.62,"QBQTC":40.43,"STS22 (zh)":67.24,"STSB":75.38}
32
  {"index":312,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":57.82,"AFQMC":54.58,"ATEC":54.6,"BQ":64.41,"LCQMC":74.4,"PAWSX":38.55,"QBQTC":33.36,"STS22 (zh)":62.98,"STSB":79.68}
33
  {"index":54,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":57.08,"AFQMC":46.98,"ATEC":51.35,"BQ":65.08,"LCQMC":76.96,"PAWSX":30.03,"QBQTC":37.5,"STS22 (zh)":69.2,"STSB":79.57}
34
  {"index":192,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":56.92,"AFQMC":46.73,"ATEC":51.22,"BQ":64.8,"LCQMC":76.89,"PAWSX":29.7,"QBQTC":37.38,"STS22 (zh)":69.02,"STSB":79.63}
@@ -48,7 +48,7 @@
48
  {"index":242,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.47,"AFQMC":35.87,"ATEC":41.27,"BQ":63.81,"LCQMC":74.88,"PAWSX":12.19,"QBQTC":32.07,"STS22 (zh)":66.73,"STSB":76.97}
49
  {"index":243,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.42,"AFQMC":36.53,"ATEC":41.8,"BQ":65.2,"LCQMC":74.2,"PAWSX":15.95,"QBQTC":32.65,"STS22 (zh)":62.91,"STSB":74.16}
50
  {"index":200,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.22,"AFQMC":38.99,"ATEC":42.84,"BQ":50.63,"LCQMC":75.48,"PAWSX":16.81,"QBQTC":31.8,"STS22 (zh)":63.4,"STSB":81.81}
51
- {"index":316,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
52
  {"index":314,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
53
  {"index":36,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.1,"AFQMC":33.42,"ATEC":43.01,"BQ":55.22,"LCQMC":72.19,"PAWSX":9.26,"QBQTC":35.29,"STS22 (zh)":67.72,"STSB":76.73}
54
  {"index":204,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.29,"AFQMC":33.02,"ATEC":39.81,"BQ":46.44,"LCQMC":75.95,"PAWSX":14.63,"QBQTC":29.77,"STS22 (zh)":65.64,"STSB":81.08}
@@ -58,7 +58,7 @@
58
  {"index":58,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.97,"AFQMC":24.51,"ATEC":32.45,"BQ":44.22,"LCQMC":69.16,"PAWSX":14.55,"QBQTC":29.51,"STS22 (zh)":65.94,"STSB":79.45}
59
  {"index":48,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.62,"AFQMC":22.57,"ATEC":30.3,"BQ":40.98,"LCQMC":68.4,"PAWSX":15.08,"QBQTC":27.92,"STS22 (zh)":61.58,"STSB":82.17}
60
  {"index":304,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.41,"AFQMC":26.06,"ATEC":31.93,"BQ":42.67,"LCQMC":70.16,"PAWSX":17.21,"QBQTC":24.62,"STS22 (zh)":55.35,"STSB":79.3}
61
- {"index":338,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":43.35,"AFQMC":23.88,"ATEC":29.25,"BQ":45.33,"LCQMC":68.41,"PAWSX":16.55,"QBQTC":30.27,"STS22 (zh)":62.53,"STSB":70.61}
62
  {"index":306,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":42.78,"AFQMC":22.24,"ATEC":30.84,"BQ":43.33,"LCQMC":66.74,"PAWSX":12.31,"QBQTC":27.2,"STS22 (zh)":66.4,"STSB":73.22}
63
  {"index":209,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":42.57,"AFQMC":25.32,"ATEC":33.46,"BQ":43.93,"LCQMC":71.98,"PAWSX":14.23,"QBQTC":32.92,"STS22 (zh)":40.97,"STSB":77.77}
64
  {"index":52,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84}
@@ -278,19 +278,19 @@
278
  {"index":309,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
279
  {"index":311,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
280
  {"index":313,"Rank":320,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
281
- {"index":319,"Rank":323,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
282
- {"index":320,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
283
- {"index":321,"Rank":325,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
284
- {"index":322,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
285
- {"index":323,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
286
- {"index":325,"Rank":329,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
287
- {"index":326,"Rank":330,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
288
- {"index":331,"Rank":335,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
289
- {"index":334,"Rank":337,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
290
- {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
291
- {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
292
- {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
293
- {"index":339,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
294
- {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
295
- {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
296
- {"index":343,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
 
18
  {"index":145,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":62.09,"AFQMC":58.81,"ATEC":57.95,"BQ":70.37,"LCQMC":78.17,"PAWSX":45.51,"QBQTC":37.31,"STS22 (zh)":65.85,"STSB":82.73}
19
  {"index":18,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
20
  {"index":236,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
21
+ {"index":343,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
22
  {"index":307,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
23
  {"index":218,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
24
  {"index":195,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
 
28
  {"index":116,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.41,"AFQMC":54.73,"ATEC":55.13,"BQ":64.89,"LCQMC":75.12,"PAWSX":37.93,"QBQTC":34.21,"STS22 (zh)":64.54,"STSB":80.72}
29
  {"index":194,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.3,"AFQMC":54.49,"ATEC":54.45,"BQ":62.38,"LCQMC":76.28,"PAWSX":37.97,"QBQTC":37.84,"STS22 (zh)":67.28,"STSB":75.71}
30
  {"index":278,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.02,"AFQMC":54.17,"ATEC":54.28,"BQ":62.31,"LCQMC":75.81,"PAWSX":38.31,"QBQTC":38.22,"STS22 (zh)":66.66,"STSB":74.43}
31
+ {"index":333,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":57.91,"AFQMC":43.45,"ATEC":48.01,"BQ":65.58,"LCQMC":75.56,"PAWSX":47.62,"QBQTC":40.43,"STS22 (zh)":67.24,"STSB":75.38}
32
  {"index":312,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":57.82,"AFQMC":54.58,"ATEC":54.6,"BQ":64.41,"LCQMC":74.4,"PAWSX":38.55,"QBQTC":33.36,"STS22 (zh)":62.98,"STSB":79.68}
33
  {"index":54,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":57.08,"AFQMC":46.98,"ATEC":51.35,"BQ":65.08,"LCQMC":76.96,"PAWSX":30.03,"QBQTC":37.5,"STS22 (zh)":69.2,"STSB":79.57}
34
  {"index":192,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":56.92,"AFQMC":46.73,"ATEC":51.22,"BQ":64.8,"LCQMC":76.89,"PAWSX":29.7,"QBQTC":37.38,"STS22 (zh)":69.02,"STSB":79.63}
 
48
  {"index":242,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.47,"AFQMC":35.87,"ATEC":41.27,"BQ":63.81,"LCQMC":74.88,"PAWSX":12.19,"QBQTC":32.07,"STS22 (zh)":66.73,"STSB":76.97}
49
  {"index":243,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.42,"AFQMC":36.53,"ATEC":41.8,"BQ":65.2,"LCQMC":74.2,"PAWSX":15.95,"QBQTC":32.65,"STS22 (zh)":62.91,"STSB":74.16}
50
  {"index":200,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.22,"AFQMC":38.99,"ATEC":42.84,"BQ":50.63,"LCQMC":75.48,"PAWSX":16.81,"QBQTC":31.8,"STS22 (zh)":63.4,"STSB":81.81}
51
+ {"index":317,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
52
  {"index":314,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
53
  {"index":36,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.1,"AFQMC":33.42,"ATEC":43.01,"BQ":55.22,"LCQMC":72.19,"PAWSX":9.26,"QBQTC":35.29,"STS22 (zh)":67.72,"STSB":76.73}
54
  {"index":204,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.29,"AFQMC":33.02,"ATEC":39.81,"BQ":46.44,"LCQMC":75.95,"PAWSX":14.63,"QBQTC":29.77,"STS22 (zh)":65.64,"STSB":81.08}
 
58
  {"index":58,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.97,"AFQMC":24.51,"ATEC":32.45,"BQ":44.22,"LCQMC":69.16,"PAWSX":14.55,"QBQTC":29.51,"STS22 (zh)":65.94,"STSB":79.45}
59
  {"index":48,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.62,"AFQMC":22.57,"ATEC":30.3,"BQ":40.98,"LCQMC":68.4,"PAWSX":15.08,"QBQTC":27.92,"STS22 (zh)":61.58,"STSB":82.17}
60
  {"index":304,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.41,"AFQMC":26.06,"ATEC":31.93,"BQ":42.67,"LCQMC":70.16,"PAWSX":17.21,"QBQTC":24.62,"STS22 (zh)":55.35,"STSB":79.3}
61
+ {"index":339,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":43.35,"AFQMC":23.88,"ATEC":29.25,"BQ":45.33,"LCQMC":68.41,"PAWSX":16.55,"QBQTC":30.27,"STS22 (zh)":62.53,"STSB":70.61}
62
  {"index":306,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":42.78,"AFQMC":22.24,"ATEC":30.84,"BQ":43.33,"LCQMC":66.74,"PAWSX":12.31,"QBQTC":27.2,"STS22 (zh)":66.4,"STSB":73.22}
63
  {"index":209,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":42.57,"AFQMC":25.32,"ATEC":33.46,"BQ":43.93,"LCQMC":71.98,"PAWSX":14.23,"QBQTC":32.92,"STS22 (zh)":40.97,"STSB":77.77}
64
  {"index":52,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84}
 
278
  {"index":309,"Rank":318,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
279
  {"index":311,"Rank":319,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
280
  {"index":313,"Rank":320,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
281
+ {"index":320,"Rank":324,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
282
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283
+ {"index":322,"Rank":326,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
284
+ {"index":323,"Rank":327,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
285
+ {"index":324,"Rank":328,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
286
+ {"index":326,"Rank":330,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
287
+ {"index":327,"Rank":331,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
288
+ {"index":332,"Rank":336,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
289
+ {"index":335,"Rank":338,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
290
+ {"index":336,"Rank":339,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
291
+ {"index":337,"Rank":340,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
292
+ {"index":338,"Rank":341,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
293
+ {"index":340,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
294
+ {"index":341,"Rank":343,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
295
+ {"index":342,"Rank":344,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
296
+ {"index":344,"Rank":345,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}