Spaces:
Running
Running
| {"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56} | |
| {"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":85.07,"BIOSSES":89.46,"SICK-R":81.93,"STS12":77.59,"STS13":90.36,"STS14":85.25,"STS15":89.66,"STS16":87.34,"STS17 (en-en)":92.06,"STS22 (en)":68.02,"STSBenchmark":88.99} | |
| {"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko-256.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":84.93,"BIOSSES":89.42,"SICK-R":81.67,"STS12":78.02,"STS13":90.1,"STS14":85.44,"STS15":89.64,"STS16":87.24,"STS17 (en-en)":90.46,"STS22 (en)":67.99,"STSBenchmark":89.33} | |
| {"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":84.31,"BIOSSES":89.24,"SICK-R":83.16,"STS12":73.34,"STS13":88.49,"STS14":86.49,"STS15":91.13,"STS16":85.68,"STS17 (en-en)":90.06,"STS22 (en)":66.32,"STSBenchmark":89.22} | |
| {"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":84.09,"BIOSSES":85.24,"SICK-R":83.7,"STS12":78.8,"STS13":86.37,"STS14":84.04,"STS15":88.99,"STS16":87.22,"STS17 (en-en)":90.19,"STS22 (en)":67.68,"STSBenchmark":88.65} | |
| {"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Average":83.73,"BIOSSES":82.13,"SICK-R":83.01,"STS12":78.85,"STS13":86.84,"STS14":84.04,"STS15":88.72,"STS16":86.79,"STS17 (en-en)":90.63,"STS22 (en)":67.55,"STSBenchmark":88.72} | |
| {"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Average":83.58,"BIOSSES":84.92,"SICK-R":83.94,"STS12":79.27,"STS13":84.83,"STS14":82.94,"STS15":88.09,"STS16":86.54,"STS17 (en-en)":89.58,"STS22 (en)":67.67,"STSBenchmark":88.05} | |
| {"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":83.58,"BIOSSES":85.88,"SICK-R":82.25,"STS12":78.28,"STS13":85.52,"STS14":82.49,"STS15":88.76,"STS16":87.11,"STS17 (en-en)":90.1,"STS22 (en)":68.25,"STSBenchmark":87.16} | |
| {"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.93,"BIOSSES":84.85,"SICK-R":79.71,"STS12":77.09,"STS13":88.91,"STS14":82.08,"STS15":89.21,"STS16":84.74,"STS17 (en-en)":90.73,"STS22 (en)":62.1,"STSBenchmark":89.86} | |
| {"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01} | |
| {"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,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35} | |
| {"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":81.83,"BIOSSES":78.93,"SICK-R":80.34,"STS12":79.11,"STS13":87.33,"STS14":83.17,"STS15":88.28,"STS16":84.36,"STS17 (en-en)":88.99,"STS22 (en)":62.39,"STSBenchmark":85.36} | |
| {"Rank":13,"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)":"","Average":81.73,"BIOSSES":84.68,"SICK-R":79.0,"STS12":72.84,"STS13":86.1,"STS14":81.15,"STS15":88.49,"STS16":85.08,"STS17 (en-en)":90.22,"STS22 (en)":66.14,"STSBenchmark":83.56} | |
| {"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":81.7,"BIOSSES":83.3,"SICK-R":79.27,"STS12":78.3,"STS13":85.81,"STS14":81.38,"STS15":86.79,"STS16":84.56,"STS17 (en-en)":87.25,"STS22 (en)":65.24,"STSBenchmark":85.14} | |
| {"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":81.66,"BIOSSES":73.12,"SICK-R":79.98,"STS12":79.02,"STS13":88.8,"STS14":84.33,"STS15":88.89,"STS16":85.31,"STS17 (en-en)":88.91,"STS22 (en)":64.32,"STSBenchmark":83.93} | |
| {"Rank":16,"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,"Average":81.62,"BIOSSES":82.49,"SICK-R":80.23,"STS12":80.02,"STS13":81.55,"STS14":77.72,"STS15":89.31,"STS16":85.79,"STS17 (en-en)":88.12,"STS22 (en)":63.66,"STSBenchmark":87.29} | |
| {"Rank":17,"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)":"","Average":81.58,"BIOSSES":88.72,"SICK-R":76.73,"STS12":73.09,"STS13":84.92,"STS14":79.81,"STS15":88.01,"STS16":84.41,"STS17 (en-en)":90.94,"STS22 (en)":64.96,"STSBenchmark":84.24} | |
| {"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":81.34,"BIOSSES":81.58,"SICK-R":79.24,"STS12":78.16,"STS13":86.01,"STS14":81.25,"STS15":86.51,"STS16":84.24,"STS17 (en-en)":86.44,"STS22 (en)":65.14,"STSBenchmark":84.8} | |
| {"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":81.14,"BIOSSES":75.89,"SICK-R":80.18,"STS12":78.05,"STS13":85.85,"STS14":82.19,"STS15":87.46,"STS16":84.03,"STS17 (en-en)":89.57,"STS22 (en)":62.66,"STSBenchmark":85.52} | |
| {"Rank":20,"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)":"","Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34} | |
| {"Rank":21,"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)":"","Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17} | |
| {"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":80.77,"BIOSSES":76.27,"SICK-R":79.62,"STS12":77.9,"STS13":85.11,"STS14":80.81,"STS15":87.48,"STS16":83.2,"STS17 (en-en)":86.99,"STS22 (en)":63.52,"STSBenchmark":86.82} | |
| {"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":80.74,"BIOSSES":80.19,"SICK-R":79.09,"STS12":77.49,"STS13":85.62,"STS14":80.5,"STS15":85.84,"STS16":83.9,"STS17 (en-en)":86.27,"STS22 (en)":64.24,"STSBenchmark":84.28} | |
| {"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":80.32,"BIOSSES":80.43,"SICK-R":80.59,"STS12":72.63,"STS13":83.48,"STS14":78.0,"STS15":85.66,"STS16":80.03,"STS17 (en-en)":90.6,"STS22 (en)":68.39,"STSBenchmark":83.42} | |
| {"Rank":25,"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,"Average":80.31,"BIOSSES":85.05,"SICK-R":78.51,"STS12":76.7,"STS13":78.02,"STS14":76.6,"STS15":88.16,"STS16":84.28,"STS17 (en-en)":87.84,"STS22 (en)":62.26,"STSBenchmark":85.64} | |
| {"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":79.8,"BIOSSES":83.57,"SICK-R":79.32,"STS12":73.08,"STS13":82.13,"STS14":76.73,"STS15":85.58,"STS16":80.23,"STS17 (en-en)":88.63,"STS22 (en)":65.67,"STSBenchmark":83.09} | |
| {"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-64<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":79.79,"BIOSSES":77.18,"SICK-R":78.76,"STS12":77.3,"STS13":84.18,"STS14":79.37,"STS15":84.69,"STS16":83.36,"STS17 (en-en)":85.73,"STS22 (en)":63.83,"STSBenchmark":83.46} | |
| {"Rank":28,"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,"Average":79.54,"BIOSSES":85.01,"SICK-R":81.47,"STS12":65.84,"STS13":78.37,"STS14":77.52,"STS15":85.43,"STS16":79.94,"STS17 (en-en)":90.12,"STS22 (en)":68.59,"STSBenchmark":83.1} | |
| {"Rank":29,"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,"Average":79.16,"BIOSSES":82.46,"SICK-R":77.51,"STS12":76.56,"STS13":76.97,"STS14":75.52,"STS15":87.12,"STS16":83.63,"STS17 (en-en)":86.42,"STS22 (en)":61.25,"STSBenchmark":84.11} | |
| {"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":79.12,"BIOSSES":68.38,"SICK-R":80.77,"STS12":75.3,"STS13":84.67,"STS14":80.19,"STS15":85.4,"STS16":80.82,"STS17 (en-en)":89.44,"STS22 (en)":61.96,"STSBenchmark":84.25} | |
| {"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":78.96,"BIOSSES":74.18,"SICK-R":79.61,"STS12":76.02,"STS13":80.7,"STS14":78.85,"STS15":85.84,"STS16":81.05,"STS17 (en-en)":86.87,"STS22 (en)":62.07,"STSBenchmark":84.42} | |
| {"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":78.95,"BIOSSES":81.64,"SICK-R":77.58,"STS12":72.37,"STS13":80.6,"STS14":75.59,"STS15":85.39,"STS16":78.99,"STS17 (en-en)":87.59,"STS22 (en)":67.71,"STSBenchmark":82.03} | |
| {"Rank":33,"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)":"","Average":78.6,"BIOSSES":78.04,"SICK-R":77.48,"STS12":72.3,"STS13":81.49,"STS14":74.74,"STS15":84.28,"STS16":82.06,"STS17 (en-en)":87.08,"STS22 (en)":64.71,"STSBenchmark":83.78} | |
| {"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":78.5,"BIOSSES":83.29,"SICK-R":75.55,"STS12":67.65,"STS13":83.9,"STS14":76.97,"STS15":83.8,"STS16":81.91,"STS17 (en-en)":85.58,"STS22 (en)":65.93,"STSBenchmark":80.42} | |
| {"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":78.38,"BIOSSES":81.91,"SICK-R":74.29,"STS12":70.12,"STS13":82.72,"STS14":78.24,"STS15":86.26,"STS16":81.61,"STS17 (en-en)":85.18,"STS22 (en)":65.76,"STSBenchmark":77.73} | |
| {"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":78.19,"BIOSSES":84.86,"SICK-R":73.39,"STS12":70.33,"STS13":82.19,"STS14":77.16,"STS15":86.31,"STS16":81.85,"STS17 (en-en)":83.93,"STS22 (en)":64.3,"STSBenchmark":77.6} | |
| {"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":77.8,"BIOSSES":78.94,"SICK-R":73.63,"STS12":69.11,"STS13":81.82,"STS14":77.07,"STS15":86.01,"STS16":82.23,"STS17 (en-en)":84.9,"STS22 (en)":66.61,"STSBenchmark":77.65} | |
| {"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":77.07,"BIOSSES":79.0,"SICK-R":71.45,"STS12":68.59,"STS13":79.09,"STS14":74.64,"STS15":84.85,"STS16":81.57,"STS17 (en-en)":85.8,"STS22 (en)":66.17,"STSBenchmark":79.58} | |
| {"Rank":39,"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,"Average":76.95,"BIOSSES":83.79,"SICK-R":68.78,"STS12":64.81,"STS13":80.1,"STS14":74.96,"STS15":83.7,"STS16":80.55,"STS17 (en-en)":85.74,"STS22 (en)":67.5,"STSBenchmark":79.54} | |
| {"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":76.51,"BIOSSES":83.32,"SICK-R":70.2,"STS12":64.34,"STS13":80.03,"STS14":74.51,"STS15":83.3,"STS16":79.67,"STS17 (en-en)":86.32,"STS22 (en)":64.64,"STSBenchmark":78.81} | |
| {"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":76.47,"BIOSSES":77.32,"SICK-R":72.0,"STS12":68.19,"STS13":80.4,"STS14":74.02,"STS15":82.57,"STS16":79.78,"STS17 (en-en)":85.94,"STS22 (en)":67.54,"STSBenchmark":76.97} | |
| {"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Average":76.4,"BIOSSES":82.41,"SICK-R":71.77,"STS12":65.39,"STS13":79.26,"STS14":72.98,"STS15":82.72,"STS16":81.02,"STS17 (en-en)":86.7,"STS22 (en)":63.47,"STSBenchmark":78.32} | |
| {"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Average":75.86,"BIOSSES":84.67,"SICK-R":72.16,"STS12":61.6,"STS13":79.71,"STS14":72.11,"STS15":82.18,"STS16":79.41,"STS17 (en-en)":85.44,"STS22 (en)":63.9,"STSBenchmark":77.44} | |
| {"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Average":75.6,"BIOSSES":78.34,"SICK-R":75.25,"STS12":72.96,"STS13":70.58,"STS14":70.29,"STS15":81.94,"STS16":76.8,"STS17 (en-en)":86.19,"STS22 (en)":62.88,"STSBenchmark":80.75} | |
| {"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":74.33,"BIOSSES":72.31,"SICK-R":72.24,"STS12":66.05,"STS13":81.49,"STS14":73.61,"STS15":79.72,"STS16":78.12,"STS17 (en-en)":83.58,"STS22 (en)":59.65,"STSBenchmark":76.52} | |
| {"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":71.61,"BIOSSES":75.12,"SICK-R":69.34,"STS12":60.09,"STS13":72.52,"STS14":66.7,"STS15":77.69,"STS16":75.94,"STS17 (en-en)":81.67,"STS22 (en)":63.7,"STSBenchmark":73.36} | |
| {"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":70.8,"BIOSSES":78.7,"SICK-R":69.99,"STS12":65.08,"STS13":67.98,"STS14":64.03,"STS15":76.59,"STS16":72.98,"STS17 (en-en)":79.45,"STS22 (en)":60.97,"STSBenchmark":72.25} | |
| {"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":63.27,"BIOSSES":62.01,"SICK-R":62.86,"STS12":62.6,"STS13":59.62,"STS14":57.03,"STS15":71.57,"STS16":70.75,"STS17 (en-en)":76.73,"STS22 (en)":39.76,"STSBenchmark":69.77} | |
| {"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Average":62.46,"BIOSSES":50.25,"SICK-R":55.49,"STS12":53.51,"STS13":70.8,"STS14":63.56,"STS15":74.08,"STS16":64.6,"STS17 (en-en)":76.91,"STS22 (en)":53.89,"STSBenchmark":61.55} | |
| {"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"Average":61.85,"BIOSSES":44.93,"SICK-R":55.43,"STS12":54.64,"STS13":69.16,"STS14":60.81,"STS15":72.31,"STS16":65.34,"STS17 (en-en)":77.95,"STS22 (en)":56.35,"STSBenchmark":61.54} | |
| {"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/allenai-specter\">allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":61.02,"BIOSSES":64.95,"SICK-R":56.39,"STS12":62.49,"STS13":58.7,"STS14":54.87,"STS15":62.54,"STS16":64.27,"STS17 (en-en)":69.63,"STS22 (en)":55.06,"STSBenchmark":61.26} | |
| {"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":54.36,"BIOSSES":54.7,"SICK-R":58.65,"STS12":30.87,"STS13":59.89,"STS14":47.73,"STS15":60.29,"STS16":63.73,"STS17 (en-en)":64.1,"STS22 (en)":56.37,"STSBenchmark":47.29} | |
| {"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","BIOSSES":84.17,"SICK-R":73.05,"STS12":66.59,"STS13":83.24,"STS14":73.71,"STS15":82.4,"STS16":"","STS17 (en-en)":80.9,"STS22 (en)":"","STSBenchmark":74.85} | |
| {"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":"","BIOSSES":"","SICK-R":"","STS12":"","STS13":"","STS14":"","STS15":"","STS16":"","STS17 (en-en)":"","STS22 (en)":59.47,"STSBenchmark":""} | |
| {"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","BIOSSES":"","SICK-R":"","STS12":"","STS13":"","STS14":"","STS15":"","STS16":"","STS17 (en-en)":"","STS22 (en)":47.06,"STSBenchmark":""} | |
| {"Rank":109,"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)":"","Average":"","BIOSSES":78.12,"SICK-R":77.02,"STS12":"","STS13":"","STS14":"","STS15":"","STS16":"","STS17 (en-en)":"","STS22 (en)":"","STSBenchmark":84.32} | |
| {"Rank":110,"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)":"","Average":"","BIOSSES":77.46,"SICK-R":77.26,"STS12":"","STS13":"","STS14":"","STS15":"","STS16":"","STS17 (en-en)":"","STS22 (en)":"","STSBenchmark":83.02} | |
| {"Rank":111,"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)":"","Average":"","BIOSSES":68.95,"SICK-R":78.72,"STS12":"","STS13":"","STS14":"","STS15":"","STS16":"","STS17 (en-en)":"","STS22 (en)":"","STSBenchmark":84.08} | |