Spaces:
Running
Running
| {"index":21,"Rank":1,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":41.16,"BlurbsClusteringP2P":47.73,"BlurbsClusteringS2S":21.8,"TenKGnadClusteringP2P":55.31,"TenKGnadClusteringS2S":39.78} | |
| {"index":43,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":40.89,"BlurbsClusteringP2P":47.07,"BlurbsClusteringS2S":21.35,"TenKGnadClusteringP2P":54.92,"TenKGnadClusteringS2S":40.21} | |
| {"index":47,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":40.22,"BlurbsClusteringP2P":44.35,"BlurbsClusteringS2S":20.81,"TenKGnadClusteringP2P":54.02,"TenKGnadClusteringS2S":41.71} | |
| {"index":5,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":39.84,"BlurbsClusteringP2P":47.0,"BlurbsClusteringS2S":21.74,"TenKGnadClusteringP2P":52.6,"TenKGnadClusteringS2S":38.04} | |
| {"index":4,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":39.57,"BlurbsClusteringP2P":45.28,"BlurbsClusteringS2S":20.1,"TenKGnadClusteringP2P":53.6,"TenKGnadClusteringS2S":39.3} | |
| {"index":13,"Rank":6,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":36.97,"BlurbsClusteringP2P":42.32,"BlurbsClusteringS2S":19.26,"TenKGnadClusteringP2P":48.44,"TenKGnadClusteringS2S":37.86} | |
| {"index":14,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Daxtra\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":36.54,"BlurbsClusteringP2P":41.63,"BlurbsClusteringS2S":21.0,"TenKGnadClusteringP2P":43.76,"TenKGnadClusteringS2S":39.76} | |
| {"index":53,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":36.54,"BlurbsClusteringP2P":41.63,"BlurbsClusteringS2S":21.0,"TenKGnadClusteringP2P":43.76,"TenKGnadClusteringS2S":39.76} | |
| {"index":3,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average":35.57,"BlurbsClusteringP2P":43.27,"BlurbsClusteringS2S":17.78,"TenKGnadClusteringP2P":43.87,"TenKGnadClusteringS2S":37.37} | |
| {"index":0,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-3-lite<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":32000,"Average":34.03,"BlurbsClusteringP2P":40.26,"BlurbsClusteringS2S":15.97,"TenKGnadClusteringP2P":46.79,"TenKGnadClusteringS2S":33.11} | |
| {"index":46,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":33.5,"BlurbsClusteringP2P":41.52,"BlurbsClusteringS2S":16.8,"TenKGnadClusteringP2P":44.83,"TenKGnadClusteringS2S":30.83} | |
| {"index":1,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average":33.41,"BlurbsClusteringP2P":41.96,"BlurbsClusteringS2S":18.13,"TenKGnadClusteringP2P":38.06,"TenKGnadClusteringS2S":35.49} | |
| {"index":12,"Rank":13,"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)":"","Embedding Dimensions":384,"Max Tokens":512,"Average":32.9,"BlurbsClusteringP2P":38.9,"BlurbsClusteringS2S":16.12,"TenKGnadClusteringP2P":47.32,"TenKGnadClusteringS2S":29.27} | |
| {"index":45,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":32.38,"BlurbsClusteringP2P":38.35,"BlurbsClusteringS2S":16.25,"TenKGnadClusteringP2P":41.92,"TenKGnadClusteringS2S":33.01} | |
| {"index":31,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gbert-large\">gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97} | |
| {"index":48,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":31.64,"BlurbsClusteringP2P":37.05,"BlurbsClusteringS2S":15.24,"TenKGnadClusteringP2P":43.77,"TenKGnadClusteringS2S":30.52} | |
| {"index":11,"Rank":17,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":30.48,"BlurbsClusteringP2P":33.8,"BlurbsClusteringS2S":13.31,"TenKGnadClusteringP2P":47.9,"TenKGnadClusteringS2S":26.9} | |
| {"index":35,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":29.85,"BlurbsClusteringP2P":38.7,"BlurbsClusteringS2S":15.58,"TenKGnadClusteringP2P":42.3,"TenKGnadClusteringS2S":22.82} | |
| {"index":64,"Rank":19,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69} | |
| {"index":51,"Rank":20,"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,"Embedding Dimensions":768,"Max Tokens":8192,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} | |
| {"index":26,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} | |
| {"index":19,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} | |
| {"index":23,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aari1995\/German_Semantic_STS_V2\">German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71} | |
| {"index":55,"Rank":24,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":28.28,"BlurbsClusteringP2P":36.52,"BlurbsClusteringS2S":14.27,"TenKGnadClusteringP2P":40.64,"TenKGnadClusteringS2S":21.67} | |
| {"index":42,"Rank":25,"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,"Embedding Dimensions":1024,"Max Tokens":512,"Average":28.26,"BlurbsClusteringP2P":31.19,"BlurbsClusteringS2S":12.4,"TenKGnadClusteringP2P":44.85,"TenKGnadClusteringS2S":24.61} | |
| {"index":7,"Rank":26,"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)":1340,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":1024,"Max Tokens":512,"Average":27.64,"BlurbsClusteringP2P":29.05,"BlurbsClusteringS2S":12.3,"TenKGnadClusteringP2P":44.52,"TenKGnadClusteringS2S":24.68} | |
| {"index":63,"Rank":27,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26} | |
| {"index":40,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.14,"BlurbsClusteringP2P":29.09,"BlurbsClusteringS2S":12.41,"TenKGnadClusteringP2P":42.2,"TenKGnadClusteringS2S":24.86} | |
| {"index":30,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gbert-base\">gbert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.0,"BlurbsClusteringP2P":35.36,"BlurbsClusteringS2S":11.27,"TenKGnadClusteringP2P":37.16,"TenKGnadClusteringS2S":24.23} | |
| {"index":65,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/use-cmlm-multilingual\">use-cmlm-multilingual<\/a>","Model Size (Million Parameters)":472,"Memory Usage (GB, fp32)":1.76,"Embedding Dimensions":768,"Max Tokens":512,"Average":26.9,"BlurbsClusteringP2P":29.63,"BlurbsClusteringS2S":15.24,"TenKGnadClusteringP2P":37.1,"TenKGnadClusteringS2S":25.64} | |
| {"index":41,"Rank":31,"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,"Embedding Dimensions":1024,"Max Tokens":512,"Average":26.74,"BlurbsClusteringP2P":31.08,"BlurbsClusteringS2S":11.45,"TenKGnadClusteringP2P":43.22,"TenKGnadClusteringS2S":21.2} | |
| {"index":60,"Rank":32,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":26.3,"BlurbsClusteringP2P":32.46,"BlurbsClusteringS2S":14.33,"TenKGnadClusteringP2P":36.13,"TenKGnadClusteringS2S":22.26} | |
| {"index":62,"Rank":33,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":26.29,"BlurbsClusteringP2P":30.59,"BlurbsClusteringS2S":11.57,"TenKGnadClusteringP2P":44.88,"TenKGnadClusteringS2S":18.11} | |
| {"index":61,"Rank":34,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":25.97,"BlurbsClusteringP2P":34.0,"BlurbsClusteringS2S":15.31,"TenKGnadClusteringP2P":33.62,"TenKGnadClusteringS2S":20.93} | |
| {"index":54,"Rank":35,"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)":547,"Memory Usage (GB, fp32)":2.04,"Embedding Dimensions":768,"Max Tokens":8192,"Average":25.6,"BlurbsClusteringP2P":26.46,"BlurbsClusteringS2S":9.73,"TenKGnadClusteringP2P":45.55,"TenKGnadClusteringS2S":20.66} | |
| {"index":6,"Rank":36,"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)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":25.18,"BlurbsClusteringP2P":25.15,"BlurbsClusteringS2S":11.38,"TenKGnadClusteringP2P":42.11,"TenKGnadClusteringS2S":22.07} | |
| {"index":39,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":24.99,"BlurbsClusteringP2P":27.05,"BlurbsClusteringS2S":11.1,"TenKGnadClusteringP2P":41.9,"TenKGnadClusteringS2S":19.9} | |
| {"index":9,"Rank":38,"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)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":24.08,"BlurbsClusteringP2P":23.89,"BlurbsClusteringS2S":10.61,"TenKGnadClusteringP2P":41.47,"TenKGnadClusteringS2S":20.34} | |
| {"index":58,"Rank":39,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":23.76,"BlurbsClusteringP2P":25.03,"BlurbsClusteringS2S":10.62,"TenKGnadClusteringP2P":39.41,"TenKGnadClusteringS2S":19.98} | |
| {"index":27,"Rank":40,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":23.64,"BlurbsClusteringP2P":30.05,"BlurbsClusteringS2S":11.13,"TenKGnadClusteringP2P":40.15,"TenKGnadClusteringS2S":13.25} | |
| {"index":37,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":23.27,"BlurbsClusteringP2P":26.39,"BlurbsClusteringS2S":9.82,"TenKGnadClusteringP2P":36.97,"TenKGnadClusteringS2S":19.89} | |
| {"index":38,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":22.71,"BlurbsClusteringP2P":27.0,"BlurbsClusteringS2S":14.85,"TenKGnadClusteringP2P":21.83,"TenKGnadClusteringS2S":27.16} | |
| {"index":44,"Rank":43,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":21.99,"BlurbsClusteringP2P":24.39,"BlurbsClusteringS2S":9.82,"TenKGnadClusteringP2P":37.23,"TenKGnadClusteringS2S":16.54} | |
| {"index":66,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average":21.81,"BlurbsClusteringP2P":26.37,"BlurbsClusteringS2S":10.26,"TenKGnadClusteringP2P":37.43,"TenKGnadClusteringS2S":13.19} | |
| {"index":68,"Rank":45,"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,"Embedding Dimensions":384,"Max Tokens":256,"Average":21.67,"BlurbsClusteringP2P":27.75,"BlurbsClusteringS2S":13.22,"TenKGnadClusteringP2P":30.87,"TenKGnadClusteringS2S":14.84} | |
| {"index":69,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/uklfr\/gottbert-base\">gottbert-base<\/a>","Model Size (Million Parameters)":127,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":512,"Average":21.46,"BlurbsClusteringP2P":34.49,"BlurbsClusteringS2S":8.37,"TenKGnadClusteringP2P":33.66,"TenKGnadClusteringS2S":9.34} | |
| {"index":22,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/T-Systems-onsite\/cross-en-de-roberta-sentence-transformer\">cross-en-de-roberta-sentence-transformer<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":19.49,"BlurbsClusteringP2P":30.82,"BlurbsClusteringS2S":12.69,"TenKGnadClusteringP2P":23.5,"TenKGnadClusteringS2S":10.94} | |
| {"index":49,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":19.06,"BlurbsClusteringP2P":24.28,"BlurbsClusteringS2S":8.08,"TenKGnadClusteringP2P":36.81,"TenKGnadClusteringS2S":7.05} | |
| {"index":18,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":18.94,"BlurbsClusteringP2P":29.84,"BlurbsClusteringS2S":7.29,"TenKGnadClusteringP2P":32.46,"TenKGnadClusteringS2S":6.16} | |
| {"index":56,"Rank":50,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":18.45,"BlurbsClusteringP2P":17.44,"BlurbsClusteringS2S":10.09,"TenKGnadClusteringP2P":30.45,"TenKGnadClusteringS2S":15.81} | |
| {"index":57,"Rank":51,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":18.24,"BlurbsClusteringP2P":19.94,"BlurbsClusteringS2S":9.38,"TenKGnadClusteringP2P":30.3,"TenKGnadClusteringS2S":13.32} | |
| {"index":10,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":16.62,"BlurbsClusteringP2P":17.47,"BlurbsClusteringS2S":7.96,"TenKGnadClusteringP2P":29.79,"TenKGnadClusteringS2S":11.27} | |
| {"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average":16.1,"BlurbsClusteringP2P":15.08,"BlurbsClusteringS2S":9.12,"TenKGnadClusteringP2P":29.7,"TenKGnadClusteringS2S":10.51} | |
| {"index":17,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":14.23,"BlurbsClusteringP2P":16.55,"BlurbsClusteringS2S":8.99,"TenKGnadClusteringP2P":23.3,"TenKGnadClusteringS2S":8.08} | |
| {"index":25,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_nlu_ru\">sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Embedding Dimensions":1024,"Max Tokens":512,"Average":12.2,"BlurbsClusteringP2P":11.42,"BlurbsClusteringS2S":8.6,"TenKGnadClusteringP2P":18.55,"TenKGnadClusteringS2S":10.24} | |
| {"index":16,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased\">rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":11.66,"BlurbsClusteringP2P":10.74,"BlurbsClusteringS2S":8.66,"TenKGnadClusteringP2P":16.29,"TenKGnadClusteringS2S":10.93} | |
| {"index":24,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_mt_nlu_ru\">sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Embedding Dimensions":1024,"Max Tokens":514,"Average":10.68,"BlurbsClusteringP2P":10.62,"BlurbsClusteringS2S":8.8,"TenKGnadClusteringP2P":13.99,"TenKGnadClusteringS2S":9.3} | |
| {"index":28,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny\">rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Embedding Dimensions":512,"Max Tokens":514,"Average":10.55,"BlurbsClusteringP2P":9.69,"BlurbsClusteringS2S":8.78,"TenKGnadClusteringP2P":15.1,"TenKGnadClusteringS2S":8.62} | |
| {"index":29,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny2\">rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":2048,"Max Tokens":514,"Average":10.42,"BlurbsClusteringP2P":12.5,"BlurbsClusteringS2S":9.41,"TenKGnadClusteringP2P":11.05,"TenKGnadClusteringS2S":8.74} | |
| {"index":59,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":10.03,"BlurbsClusteringP2P":11.37,"BlurbsClusteringS2S":8.01,"TenKGnadClusteringP2P":15.89,"TenKGnadClusteringS2S":4.84} | |
| {"index":67,"Rank":61,"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,"Embedding Dimensions":312,"Max Tokens":2048,"Average":9.97,"BlurbsClusteringP2P":12.49,"BlurbsClusteringS2S":8.97,"TenKGnadClusteringP2P":8.65,"TenKGnadClusteringS2S":9.77} | |
| {"index":33,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gelectra-large\">gelectra-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":9.23,"BlurbsClusteringP2P":13.96,"BlurbsClusteringS2S":7.57,"TenKGnadClusteringP2P":11.49,"TenKGnadClusteringS2S":3.91} | |
| {"index":36,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average":8.55,"BlurbsClusteringP2P":8.62,"BlurbsClusteringS2S":7.93,"TenKGnadClusteringP2P":11.94,"TenKGnadClusteringS2S":5.7} | |
| {"index":32,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gelectra-base\">gelectra-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":7.73,"BlurbsClusteringP2P":10.06,"BlurbsClusteringS2S":7.74,"TenKGnadClusteringP2P":9.02,"TenKGnadClusteringS2S":4.11} | |
| {"index":15,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"Average":6.91,"BlurbsClusteringP2P":8.59,"BlurbsClusteringS2S":7.36,"TenKGnadClusteringP2P":7.42,"TenKGnadClusteringS2S":4.29} | |
| {"index":50,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":5.18,"BlurbsClusteringP2P":7.37,"BlurbsClusteringS2S":6.68,"TenKGnadClusteringP2P":3.47,"TenKGnadClusteringS2S":3.19} | |
| {"index":2,"Rank":67,"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)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":"","BlurbsClusteringP2P":40.78,"BlurbsClusteringS2S":20.59,"TenKGnadClusteringP2P":"","TenKGnadClusteringS2S":32.74} | |
| {"index":8,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":"","BlurbsClusteringP2P":38.69,"BlurbsClusteringS2S":16.28,"TenKGnadClusteringP2P":"","TenKGnadClusteringS2S":""} | |
| {"index":20,"Rank":69,"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,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","BlurbsClusteringP2P":"","BlurbsClusteringS2S":8.0,"TenKGnadClusteringP2P":"","TenKGnadClusteringS2S":""} | |
| {"index":52,"Rank":70,"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)":275,"Memory Usage (GB, fp32)":1.02,"Embedding Dimensions":768,"Max Tokens":8192,"Average":"","BlurbsClusteringP2P":4.57,"BlurbsClusteringS2S":4.9,"TenKGnadClusteringP2P":"","TenKGnadClusteringS2S":1.45} | |
| {"index":70,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","BlurbsClusteringP2P":44.1,"BlurbsClusteringS2S":21.85,"TenKGnadClusteringP2P":"","TenKGnadClusteringS2S":37.78} | |
| {"index":71,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","BlurbsClusteringP2P":41.0,"BlurbsClusteringS2S":18.51,"TenKGnadClusteringP2P":"","TenKGnadClusteringS2S":34.51} | |