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| {"Rank":1,"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":89.24,"SprintDuplicateQuestions":94.5,"TwitterSemEval2015":86.32,"TwitterURLCorpus":86.9} | |
| {"Rank":2,"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":88.03,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":80.7,"TwitterURLCorpus":86.56} | |
| {"Rank":3,"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":87.99,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":80.6,"TwitterURLCorpus":86.56} | |
| {"Rank":4,"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":87.79,"SprintDuplicateQuestions":95.09,"TwitterSemEval2015":81.73,"TwitterURLCorpus":86.56} | |
| {"Rank":5,"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":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53} | |
| {"Rank":6,"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":87.38,"SprintDuplicateQuestions":95.99,"TwitterSemEval2015":79.36,"TwitterURLCorpus":86.79} | |
| {"Rank":7,"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":87.25,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.23,"TwitterURLCorpus":87.04} | |
| {"Rank":8,"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":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11} | |
| {"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":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84} | |
| {"Rank":10,"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":86.21,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":76.14,"TwitterURLCorpus":86.23} | |
| {"Rank":11,"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":86.13,"SprintDuplicateQuestions":95.45,"TwitterSemEval2015":77.81,"TwitterURLCorpus":85.14} | |
| {"Rank":12,"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":86.12,"SprintDuplicateQuestions":95.68,"TwitterSemEval2015":77.54,"TwitterURLCorpus":85.13} | |
| {"Rank":13,"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":86.06,"SprintDuplicateQuestions":91.44,"TwitterSemEval2015":80.89,"TwitterURLCorpus":85.86} | |
| {"Rank":14,"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":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78} | |
| {"Rank":15,"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":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89} | |
| {"Rank":16,"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":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05} | |
| {"Rank":17,"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":85.06,"SprintDuplicateQuestions":88.89,"TwitterSemEval2015":80.28,"TwitterURLCorpus":86.01} | |
| {"Rank":18,"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":85.04,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":73.33,"TwitterURLCorpus":87.21} | |
| {"Rank":19,"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":84.97,"SprintDuplicateQuestions":89.01,"TwitterSemEval2015":79.75,"TwitterURLCorpus":86.14} | |
| {"Rank":20,"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":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22} | |
| {"Rank":21,"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":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83} | |
| {"Rank":22,"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":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57} | |
| {"Rank":23,"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":84.22,"SprintDuplicateQuestions":89.02,"TwitterSemEval2015":76.56,"TwitterURLCorpus":87.09} | |
| {"Rank":24,"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":84.09,"SprintDuplicateQuestions":92.31,"TwitterSemEval2015":73.61,"TwitterURLCorpus":86.34} | |
| {"Rank":25,"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":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77} | |
| {"Rank":26,"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":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48} | |
| {"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93} | |
| {"Rank":28,"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":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.85,"TwitterURLCorpus":85.11} | |
| {"Rank":29,"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":82.95,"SprintDuplicateQuestions":93.06,"TwitterSemEval2015":71.24,"TwitterURLCorpus":84.54} | |
| {"Rank":30,"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":82.65,"SprintDuplicateQuestions":92.18,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03} | |
| {"Rank":31,"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":82.54,"SprintDuplicateQuestions":95.55,"TwitterSemEval2015":66.85,"TwitterURLCorpus":85.21} | |
| {"Rank":32,"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":82.41,"SprintDuplicateQuestions":92.45,"TwitterSemEval2015":70.02,"TwitterURLCorpus":84.77} | |
| {"Rank":33,"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":82.37,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":67.86,"TwitterURLCorpus":84.7} | |
| {"Rank":34,"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":82.26,"SprintDuplicateQuestions":90.06,"TwitterSemEval2015":71.68,"TwitterURLCorpus":85.03} | |
| {"Rank":35,"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":81.74,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":65.95,"TwitterURLCorpus":83.17} | |
| {"Rank":36,"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":81.32,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":64.41,"TwitterURLCorpus":85.01} | |
| {"Rank":37,"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":80.94,"SprintDuplicateQuestions":91.3,"TwitterSemEval2015":68.76,"TwitterURLCorpus":82.76} | |
| {"Rank":38,"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":80.81,"SprintDuplicateQuestions":90.55,"TwitterSemEval2015":66.75,"TwitterURLCorpus":85.14} | |
| {"Rank":39,"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":78.87,"SprintDuplicateQuestions":89.26,"TwitterSemEval2015":62.78,"TwitterURLCorpus":84.58} | |
| {"Rank":40,"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":78.45,"SprintDuplicateQuestions":89.46,"TwitterSemEval2015":62.06,"TwitterURLCorpus":83.83} | |
| {"Rank":41,"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":78.01,"SprintDuplicateQuestions":88.14,"TwitterSemEval2015":66.6,"TwitterURLCorpus":79.3} | |
| {"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":77.88,"SprintDuplicateQuestions":87.57,"TwitterSemEval2015":65.14,"TwitterURLCorpus":80.94} | |
| {"Rank":43,"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":77.79,"SprintDuplicateQuestions":79.85,"TwitterSemEval2015":69.45,"TwitterURLCorpus":84.06} | |
| {"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":77.61,"SprintDuplicateQuestions":87.15,"TwitterSemEval2015":61.67,"TwitterURLCorpus":84.02} | |
| {"Rank":45,"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":77.46,"SprintDuplicateQuestions":76.46,"TwitterSemEval2015":70.85,"TwitterURLCorpus":85.08} | |
| {"Rank":46,"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":76.86,"SprintDuplicateQuestions":77.85,"TwitterSemEval2015":69.04,"TwitterURLCorpus":83.69} | |
| {"Rank":47,"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":75.9,"SprintDuplicateQuestions":69.52,"TwitterSemEval2015":74.42,"TwitterURLCorpus":83.75} | |
| {"Rank":48,"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":73.68,"SprintDuplicateQuestions":69.39,"TwitterSemEval2015":67.75,"TwitterURLCorpus":83.89} | |
| {"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":72.94,"SprintDuplicateQuestions":85.55,"TwitterSemEval2015":53.85,"TwitterURLCorpus":79.41} | |
| {"Rank":50,"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":72.21,"SprintDuplicateQuestions":77.36,"TwitterSemEval2015":61.54,"TwitterURLCorpus":77.73} | |
| {"Rank":51,"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":70.92,"SprintDuplicateQuestions":86.96,"TwitterSemEval2015":48.45,"TwitterURLCorpus":77.35} | |
| {"Rank":52,"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":70.33,"SprintDuplicateQuestions":69.41,"TwitterSemEval2015":60.21,"TwitterURLCorpus":81.37} | |
| {"Rank":53,"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":68.86,"SprintDuplicateQuestions":65.54,"TwitterSemEval2015":59.57,"TwitterURLCorpus":81.47} | |
| {"Rank":54,"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":61.37,"SprintDuplicateQuestions":71.63,"TwitterSemEval2015":43.25,"TwitterURLCorpus":69.22} | |
| {"Rank":55,"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":56.33,"SprintDuplicateQuestions":36.81,"TwitterSemEval2015":55.9,"TwitterURLCorpus":76.29} | |