Spaces:
Running
Running
| {"index":17,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"BornholmBitextMining":61.17} | |
| {"index":40,"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,"BornholmBitextMining":57.24} | |
| {"index":44,"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,"BornholmBitextMining":55.42} | |
| {"index":24,"Rank":4,"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,"BornholmBitextMining":50.24} | |
| {"index":5,"Rank":5,"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,"BornholmBitextMining":50.16} | |
| {"index":52,"Rank":6,"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,"BornholmBitextMining":48.41} | |
| {"index":35,"Rank":7,"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":"","BornholmBitextMining":47.37} | |
| {"index":42,"Rank":8,"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,"BornholmBitextMining":46.4} | |
| {"index":53,"Rank":9,"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,"BornholmBitextMining":45.63} | |
| {"index":43,"Rank":10,"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,"BornholmBitextMining":44.16} | |
| {"index":8,"Rank":11,"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,"BornholmBitextMining":44.11} | |
| {"index":45,"Rank":12,"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,"BornholmBitextMining":43.89} | |
| {"index":63,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"BornholmBitextMining":43.85} | |
| {"index":60,"Rank":14,"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,"BornholmBitextMining":42.96} | |
| {"index":3,"Rank":15,"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,"BornholmBitextMining":42.68} | |
| {"index":32,"Rank":16,"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,"BornholmBitextMining":42.44} | |
| {"index":64,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"BornholmBitextMining":40.88} | |
| {"index":39,"Rank":18,"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,"BornholmBitextMining":40.86} | |
| {"index":10,"Rank":19,"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,"BornholmBitextMining":40.85} | |
| {"index":4,"Rank":20,"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,"BornholmBitextMining":40.62} | |
| {"index":41,"Rank":21,"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,"BornholmBitextMining":40.27} | |
| {"index":38,"Rank":22,"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,"BornholmBitextMining":40.15} | |
| {"index":36,"Rank":23,"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,"BornholmBitextMining":40.09} | |
| {"index":0,"Rank":24,"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,"BornholmBitextMining":40.01} | |
| {"index":37,"Rank":25,"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,"BornholmBitextMining":38.49} | |
| {"index":18,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Jechto\/e5-dansk-test-0.1\">e5-dansk-test-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"BornholmBitextMining":37.97} | |
| {"index":30,"Rank":27,"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,"BornholmBitextMining":37.66} | |
| {"index":59,"Rank":28,"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,"BornholmBitextMining":37.59} | |
| {"index":34,"Rank":29,"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,"BornholmBitextMining":37.44} | |
| {"index":28,"Rank":30,"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,"BornholmBitextMining":37.36} | |
| {"index":11,"Rank":31,"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,"BornholmBitextMining":36.64} | |
| {"index":12,"Rank":32,"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,"BornholmBitextMining":35.6} | |
| {"index":54,"Rank":33,"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,"BornholmBitextMining":35.25} | |
| {"index":1,"Rank":34,"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,"BornholmBitextMining":34.84} | |
| {"index":31,"Rank":35,"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,"BornholmBitextMining":34.8} | |
| {"index":2,"Rank":36,"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,"BornholmBitextMining":34.66} | |
| {"index":7,"Rank":37,"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,"BornholmBitextMining":34.09} | |
| {"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,"BornholmBitextMining":33.92} | |
| {"index":55,"Rank":39,"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,"BornholmBitextMining":29.68} | |
| {"index":6,"Rank":40,"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,"BornholmBitextMining":27.6} | |
| {"index":56,"Rank":41,"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,"BornholmBitextMining":27.44} | |
| {"index":29,"Rank":42,"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,"BornholmBitextMining":22.12} | |
| {"index":46,"Rank":43,"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,"BornholmBitextMining":21.91} | |
| {"index":57,"Rank":44,"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,"BornholmBitextMining":19.67} | |
| {"index":58,"Rank":45,"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,"BornholmBitextMining":18.18} | |
| {"index":61,"Rank":46,"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,"BornholmBitextMining":17.43} | |
| {"index":25,"Rank":47,"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,"BornholmBitextMining":17.0} | |
| {"index":15,"Rank":48,"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,"BornholmBitextMining":15.6} | |
| {"index":33,"Rank":49,"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,"BornholmBitextMining":14.11} | |
| {"index":21,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/sentence-bert-swedish-cased\">sentence-bert-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":512,"BornholmBitextMining":14.08} | |
| {"index":13,"Rank":51,"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,"BornholmBitextMining":13.33} | |
| {"index":14,"Rank":52,"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,"BornholmBitextMining":12.61} | |
| {"index":26,"Rank":53,"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,"BornholmBitextMining":12.6} | |
| {"index":47,"Rank":54,"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,"BornholmBitextMining":11.73} | |
| {"index":27,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-encoder-large-v1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"Embedding Dimensions":1024,"Max Tokens":512,"BornholmBitextMining":11.65} | |
| {"index":22,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-base\">nb-bert-base<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"BornholmBitextMining":9.88} | |
| {"index":19,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KB\/bert-base-swedish-cased\">bert-base-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":512,"BornholmBitextMining":6.6} | |
| {"index":62,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vesteinn\/DanskBERT\">DanskBERT<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"BornholmBitextMining":6.34} | |
| {"index":50,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ltg\/norbert3-base\">norbert3-base<\/a>","Model Size (Million Parameters)":131,"Memory Usage (GB, fp32)":0.49,"Embedding Dimensions":768,"Max Tokens":512,"BornholmBitextMining":6.08} | |
| {"index":23,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-large\">nb-bert-large<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"Embedding Dimensions":1024,"Max Tokens":512,"BornholmBitextMining":4.53} | |
| {"index":16,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"BornholmBitextMining":4.42} | |
| {"index":51,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ltg\/norbert3-large\">norbert3-large<\/a>","Model Size (Million Parameters)":368,"Memory Usage (GB, fp32)":1.37,"Embedding Dimensions":1024,"Max Tokens":512,"BornholmBitextMining":2.9} | |
| {"index":49,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jonfd\/electra-small-nordic\">electra-small-nordic<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":256,"Max Tokens":512,"BornholmBitextMining":1.44} | |
| {"index":20,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/electra-small-swedish-cased-discriminator\">electra-small-swedish-cased-discriminator<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":256,"Max Tokens":512,"BornholmBitextMining":0.85} | |
| {"index":48,"Rank":65,"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,"BornholmBitextMining":0.62} | |