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{"index":6,"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} | |
{"index":94,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":88.54,"SprintDuplicateQuestions":96.31,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.78} | |
{"index":57,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":88.35,"SprintDuplicateQuestions":96.11,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.42} | |
{"index":143,"Rank":4,"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,"Average":88.34,"SprintDuplicateQuestions":95.66,"TwitterSemEval2015":81.62,"TwitterURLCorpus":87.75} | |
{"index":202,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":88.27,"SprintDuplicateQuestions":96.52,"TwitterSemEval2015":81.35,"TwitterURLCorpus":86.94} | |
{"index":21,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":88.14,"SprintDuplicateQuestions":97.23,"TwitterSemEval2015":79.34,"TwitterURLCorpus":87.84} | |
{"index":93,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":88.07,"SprintDuplicateQuestions":97.62,"TwitterSemEval2015":78.57,"TwitterURLCorpus":88.03} | |
{"index":126,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_1.5B_v5\">stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"Average":88.07,"SprintDuplicateQuestions":96.04,"TwitterSemEval2015":80.58,"TwitterURLCorpus":87.58} | |
{"index":59,"Rank":9,"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} | |
{"index":63,"Rank":10,"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} | |
{"index":61,"Rank":11,"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} | |
{"index":127,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46} | |
{"index":1,"Rank":13,"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} | |
{"index":16,"Rank":14,"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,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58} | |
{"index":15,"Rank":15,"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} | |
{"index":172,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98} | |
{"index":164,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5} | |
{"index":0,"Rank":18,"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} | |
{"index":106,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33} | |
{"index":180,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23} | |
{"index":42,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7242,"Memory Usage (GB, fp32)":26.98,"Average":87.16,"SprintDuplicateQuestions":93.0,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.4} | |
{"index":52,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16} | |
{"index":22,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6} | |
{"index":244,"Rank":24,"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,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11} | |
{"index":198,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05} | |
{"index":9,"Rank":26,"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} | |
{"index":156,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.85,"SprintDuplicateQuestions":96.79,"TwitterSemEval2015":78.23,"TwitterURLCorpus":85.53} | |
{"index":185,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-quant\">bge-large-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.74,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":77.8,"TwitterURLCorpus":85.94} | |
{"index":113,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.7,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":77.6,"TwitterURLCorpus":85.96} | |
{"index":137,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93} | |
{"index":8,"Rank":31,"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} | |
{"index":168,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65} | |
{"index":116,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65} | |
{"index":165,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65} | |
{"index":167,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65} | |
{"index":166,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65} | |
{"index":20,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":86.55,"SprintDuplicateQuestions":96.33,"TwitterSemEval2015":77.68,"TwitterURLCorpus":85.65} | |
{"index":138,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":86.45,"SprintDuplicateQuestions":95.69,"TwitterSemEval2015":77.67,"TwitterURLCorpus":86.0} | |
{"index":111,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":86.32,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.11} | |
{"index":183,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.24,"SprintDuplicateQuestions":96.38,"TwitterSemEval2015":76.41,"TwitterURLCorpus":85.93} | |
{"index":65,"Rank":41,"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} | |
{"index":148,"Rank":42,"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,"Average":86.19,"SprintDuplicateQuestions":91.18,"TwitterSemEval2015":80.27,"TwitterURLCorpus":87.12} | |
{"index":36,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.15,"SprintDuplicateQuestions":96.79,"TwitterSemEval2015":75.16,"TwitterURLCorpus":86.49} | |
{"index":220,"Rank":44,"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} | |
{"index":221,"Rank":45,"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} | |
{"index":228,"Rank":46,"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} | |
{"index":142,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25} | |
{"index":141,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31} | |
{"index":179,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.89,"SprintDuplicateQuestions":96.05,"TwitterSemEval2015":76.08,"TwitterURLCorpus":85.54} | |
{"index":136,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":85.89,"SprintDuplicateQuestions":93.07,"TwitterSemEval2015":77.42,"TwitterURLCorpus":87.18} | |
{"index":23,"Rank":51,"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,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95} | |
{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46} | |
{"index":17,"Rank":53,"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,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59} | |
{"index":140,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63} | |
{"index":128,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63} | |
{"index":266,"Rank":56,"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} | |
{"index":250,"Rank":57,"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)":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96} | |
{"index":155,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78} | |
{"index":161,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09} | |
{"index":18,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51} | |
{"index":219,"Rank":61,"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} | |
{"index":226,"Rank":62,"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} | |
{"index":26,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71} | |
{"index":189,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71} | |
{"index":27,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71} | |
{"index":28,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71} | |
{"index":29,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":85.15,"SprintDuplicateQuestions":93.52,"TwitterSemEval2015":75.23,"TwitterURLCorpus":86.71} | |
{"index":139,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":85.09,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":74.4,"TwitterURLCorpus":85.98} | |
{"index":144,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":85.08,"SprintDuplicateQuestions":95.29,"TwitterSemEval2015":74.16,"TwitterURLCorpus":85.79} | |
{"index":186,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.06,"SprintDuplicateQuestions":95.0,"TwitterSemEval2015":74.5,"TwitterURLCorpus":85.69} | |
{"index":229,"Rank":71,"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} | |
{"index":187,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.05,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":73.26,"TwitterURLCorpus":85.64} | |
{"index":33,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":85.05,"SprintDuplicateQuestions":96.59,"TwitterSemEval2015":72.23,"TwitterURLCorpus":86.32} | |
{"index":267,"Rank":74,"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} | |
{"index":236,"Rank":75,"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,"Average":85.0,"SprintDuplicateQuestions":95.75,"TwitterSemEval2015":73.73,"TwitterURLCorpus":85.53} | |
{"index":115,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.99,"SprintDuplicateQuestions":96.14,"TwitterSemEval2015":73.48,"TwitterURLCorpus":85.36} | |
{"index":43,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45} | |
{"index":227,"Rank":78,"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} | |
{"index":24,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84} | |
{"index":264,"Rank":80,"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} | |
{"index":158,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98} | |
{"index":147,"Rank":82,"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":93.13,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83} | |
{"index":184,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":84.69,"SprintDuplicateQuestions":95.5,"TwitterSemEval2015":72.92,"TwitterURLCorpus":85.66} | |
{"index":251,"Rank":84,"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)":"","Average":84.69,"SprintDuplicateQuestions":95.63,"TwitterSemEval2015":72.87,"TwitterURLCorpus":85.58} | |
{"index":114,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3} | |
{"index":145,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79} | |
{"index":196,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65} | |
{"index":194,"Rank":88,"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} | |
{"index":190,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38} | |
{"index":235,"Rank":90,"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,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52} | |
{"index":162,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44} | |
{"index":19,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18} | |
{"index":119,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83} | |
{"index":163,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":84.44,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":72.15,"TwitterURLCorpus":86.05} | |
{"index":265,"Rank":95,"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} | |
{"index":193,"Rank":96,"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} | |
{"index":153,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":84.06,"SprintDuplicateQuestions":95.36,"TwitterSemEval2015":70.64,"TwitterURLCorpus":86.18} | |
{"index":35,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.95,"SprintDuplicateQuestions":96.6,"TwitterSemEval2015":69.41,"TwitterURLCorpus":85.85} | |
{"index":218,"Rank":99,"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} | |
{"index":191,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41} | |
{"index":160,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83} | |
{"index":252,"Rank":102,"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)":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72} | |
{"index":146,"Rank":103,"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":93.01,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48} | |
{"index":192,"Rank":104,"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} | |
{"index":237,"Rank":105,"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,"Average":83.54,"SprintDuplicateQuestions":95.57,"TwitterSemEval2015":70.12,"TwitterURLCorpus":84.92} | |
{"index":135,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.51,"SprintDuplicateQuestions":90.35,"TwitterSemEval2015":73.99,"TwitterURLCorpus":86.2} | |
{"index":112,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.39,"SprintDuplicateQuestions":94.14,"TwitterSemEval2015":70.46,"TwitterURLCorpus":85.58} | |
{"index":68,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":83.32,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":69.78,"TwitterURLCorpus":85.07} | |
{"index":152,"Rank":109,"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)":"","Average":83.11,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":69.14,"TwitterURLCorpus":85.62} | |
{"index":253,"Rank":110,"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)":"","Average":83.09,"SprintDuplicateQuestions":95.49,"TwitterSemEval2015":68.61,"TwitterURLCorpus":85.16} | |
{"index":157,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33} | |
{"index":213,"Rank":112,"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} | |
{"index":245,"Rank":113,"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,"Average":82.83,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":71.07,"TwitterURLCorpus":84.4} | |
{"index":105,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":82.83,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.17,"TwitterURLCorpus":84.84} | |
{"index":104,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89} | |
{"index":67,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75} | |
{"index":75,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":82.59,"SprintDuplicateQuestions":95.54,"TwitterSemEval2015":67.55,"TwitterURLCorpus":84.68} | |
{"index":149,"Rank":118,"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":82.59,"SprintDuplicateQuestions":92.18,"TwitterSemEval2015":70.75,"TwitterURLCorpus":84.83} | |
{"index":197,"Rank":119,"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} | |
{"index":211,"Rank":120,"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} | |
{"index":178,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.37,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":67.86,"TwitterURLCorpus":84.7} | |
{"index":212,"Rank":122,"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} | |
{"index":195,"Rank":123,"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} | |
{"index":109,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.14,"SprintDuplicateQuestions":92.92,"TwitterSemEval2015":67.8,"TwitterURLCorpus":85.71} | |
{"index":121,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Average":82.11,"SprintDuplicateQuestions":93.23,"TwitterSemEval2015":69.6,"TwitterURLCorpus":83.49} | |
{"index":101,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":82.07,"SprintDuplicateQuestions":95.28,"TwitterSemEval2015":65.78,"TwitterURLCorpus":85.15} | |
{"index":99,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21} | |
{"index":82,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Average":82.0,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":66.87,"TwitterURLCorpus":85.29} | |
{"index":188,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":81.93,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":67.01,"TwitterURLCorpus":84.2} | |
{"index":118,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Average":81.9,"SprintDuplicateQuestions":94.93,"TwitterSemEval2015":65.31,"TwitterURLCorpus":85.46} | |
{"index":103,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":81.77,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":65.79,"TwitterURLCorpus":84.22} | |
{"index":222,"Rank":132,"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} | |
{"index":110,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Average":81.4,"SprintDuplicateQuestions":95.15,"TwitterSemEval2015":65.79,"TwitterURLCorpus":83.27} | |
{"index":102,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":81.33,"SprintDuplicateQuestions":94.96,"TwitterSemEval2015":64.32,"TwitterURLCorpus":84.7} | |
{"index":268,"Rank":135,"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} | |
{"index":98,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":81.07,"SprintDuplicateQuestions":95.21,"TwitterSemEval2015":63.28,"TwitterURLCorpus":84.72} | |
{"index":154,"Rank":137,"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)":"","Average":81.05,"SprintDuplicateQuestions":92.09,"TwitterSemEval2015":65.96,"TwitterURLCorpus":85.11} | |
{"index":124,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":81.03,"SprintDuplicateQuestions":90.68,"TwitterSemEval2015":67.77,"TwitterURLCorpus":84.65} | |
{"index":64,"Rank":139,"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} | |
{"index":125,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":80.86,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":64.72,"TwitterURLCorpus":84.01} | |
{"index":225,"Rank":141,"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} | |
{"index":97,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Average":80.8,"SprintDuplicateQuestions":95.2,"TwitterSemEval2015":62.35,"TwitterURLCorpus":84.84} | |
{"index":72,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro\">gte-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":80.73,"SprintDuplicateQuestions":94.26,"TwitterSemEval2015":63.85,"TwitterURLCorpus":84.07} | |
{"index":81,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Average":80.65,"SprintDuplicateQuestions":93.47,"TwitterSemEval2015":63.68,"TwitterURLCorpus":84.8} | |
{"index":71,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":80.62,"SprintDuplicateQuestions":89.85,"TwitterSemEval2015":67.48,"TwitterURLCorpus":84.53} | |
{"index":70,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Average":80.57,"SprintDuplicateQuestions":89.26,"TwitterSemEval2015":69.26,"TwitterURLCorpus":83.19} | |
{"index":76,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":80.4,"SprintDuplicateQuestions":94.4,"TwitterSemEval2015":63.86,"TwitterURLCorpus":82.95} | |
{"index":44,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"Average":80.4,"SprintDuplicateQuestions":90.41,"TwitterSemEval2015":67.67,"TwitterURLCorpus":83.11} | |
{"index":96,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/yiyouliao\">yiyouliao<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":79.84,"SprintDuplicateQuestions":92.98,"TwitterSemEval2015":62.44,"TwitterURLCorpus":84.1} | |
{"index":77,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Average":79.7,"SprintDuplicateQuestions":92.14,"TwitterSemEval2015":63.44,"TwitterURLCorpus":83.53} | |
{"index":243,"Rank":151,"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)":"","Average":79.62,"SprintDuplicateQuestions":90.89,"TwitterSemEval2015":63.76,"TwitterURLCorpus":84.2} | |
{"index":78,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Average":79.58,"SprintDuplicateQuestions":92.58,"TwitterSemEval2015":62.37,"TwitterURLCorpus":83.79} | |
{"index":241,"Rank":153,"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)":"","Average":79.53,"SprintDuplicateQuestions":84.37,"TwitterSemEval2015":70.13,"TwitterURLCorpus":84.09} | |
{"index":171,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":79.23,"SprintDuplicateQuestions":86.13,"TwitterSemEval2015":68.03,"TwitterURLCorpus":83.52} | |
{"index":159,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Average":79.22,"SprintDuplicateQuestions":94.93,"TwitterSemEval2015":59.3,"TwitterURLCorpus":83.44} | |
{"index":210,"Rank":156,"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} | |
{"index":69,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Average":78.57,"SprintDuplicateQuestions":85.22,"TwitterSemEval2015":67.56,"TwitterURLCorpus":82.94} | |
{"index":224,"Rank":158,"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} | |
{"index":62,"Rank":159,"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} | |
{"index":60,"Rank":160,"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} | |
{"index":170,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":77.83,"SprintDuplicateQuestions":88.21,"TwitterSemEval2015":64.8,"TwitterURLCorpus":80.49} | |
{"index":262,"Rank":162,"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} | |
{"index":234,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/technicolor\/Angle_BERT\">Angle_BERT<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":77.75,"SprintDuplicateQuestions":82.81,"TwitterSemEval2015":66.16,"TwitterURLCorpus":84.28} | |
{"index":217,"Rank":164,"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} | |
{"index":261,"Rank":165,"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} | |
{"index":83,"Rank":166,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Average":77.03,"SprintDuplicateQuestions":80.54,"TwitterSemEval2015":66.0,"TwitterURLCorpus":84.54} | |
{"index":30,"Rank":167,"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)":"","Average":76.96,"SprintDuplicateQuestions":90.71,"TwitterSemEval2015":58.07,"TwitterURLCorpus":82.09} | |
{"index":169,"Rank":168,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":76.9,"SprintDuplicateQuestions":87.07,"TwitterSemEval2015":62.51,"TwitterURLCorpus":81.11} | |
{"index":260,"Rank":169,"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} | |
{"index":231,"Rank":170,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":76.49,"SprintDuplicateQuestions":83.53,"TwitterSemEval2015":62.49,"TwitterURLCorpus":83.46} | |
{"index":240,"Rank":171,"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)":"","Average":76.23,"SprintDuplicateQuestions":86.37,"TwitterSemEval2015":60.64,"TwitterURLCorpus":81.68} | |
{"index":263,"Rank":172,"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} | |
{"index":242,"Rank":173,"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)":"","Average":75.43,"SprintDuplicateQuestions":87.05,"TwitterSemEval2015":57.03,"TwitterURLCorpus":82.21} | |
{"index":79,"Rank":174,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-msmarco-specb-bitfit\">SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":75.23,"SprintDuplicateQuestions":89.89,"TwitterSemEval2015":54.75,"TwitterURLCorpus":81.06} | |
{"index":58,"Rank":175,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ManiShankar-AlpesAi\/paraphrase-multilingual-mpnet-base-v2-KE_Sieve\">paraphrase-multilingual-mpnet-base-v2-KE_Sieve<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.53,"SprintDuplicateQuestions":77.36,"TwitterSemEval2015":63.58,"TwitterURLCorpus":82.64} | |
{"index":200,"Rank":176,"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} | |
{"index":216,"Rank":177,"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} | |
{"index":66,"Rank":178,"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} | |
{"index":239,"Rank":179,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/tst\">tst<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":71.88,"SprintDuplicateQuestions":75.53,"TwitterSemEval2015":58.77,"TwitterURLCorpus":81.33} | |
{"index":80,"Rank":180,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":71.78,"SprintDuplicateQuestions":77.73,"TwitterSemEval2015":57.09,"TwitterURLCorpus":80.51} | |
{"index":129,"Rank":181,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":71.4,"SprintDuplicateQuestions":77.08,"TwitterSemEval2015":53.58,"TwitterURLCorpus":83.53} | |
{"index":215,"Rank":182,"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} | |
{"index":201,"Rank":183,"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} | |
{"index":11,"Rank":184,"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} | |
{"index":214,"Rank":185,"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} | |
{"index":117,"Rank":186,"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} | |
{"index":238,"Rank":187,"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,"Average":30.61,"SprintDuplicateQuestions":17.4,"TwitterSemEval2015":30.38,"TwitterURLCorpus":44.04} | |
{"index":246,"Rank":188,"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,"Average":0.79,"SprintDuplicateQuestions":0.85,"TwitterSemEval2015":0.67,"TwitterURLCorpus":0.84} | |
{"index":95,"Rank":228,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","SprintDuplicateQuestions":57.56,"TwitterSemEval2015":"","TwitterURLCorpus":""} | |