Spaces:
Running
Running
| {"index":12,"Rank":1,"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":55.61,"GerDaLIR":16.23,"GermanDPR":82.42,"GermanQuAD-Retrieval":95.46,"XMarket (de)":28.32} | |
| {"index":45,"Rank":2,"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":55.61,"GerDaLIR":16.23,"GermanDPR":82.42,"GermanQuAD-Retrieval":95.46,"XMarket (de)":28.32} | |
| {"index":35,"Rank":3,"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":53.25,"GerDaLIR":7.22,"GermanDPR":84.25,"GermanQuAD-Retrieval":95.21,"XMarket (de)":26.33} | |
| {"index":16,"Rank":4,"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,"Average":53.18,"GerDaLIR":9.32,"GermanDPR":83.09,"GermanQuAD-Retrieval":95.32,"XMarket (de)":25.01} | |
| {"index":39,"Rank":5,"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":52.3,"GerDaLIR":9.31,"GermanDPR":80.84,"GermanQuAD-Retrieval":94.67,"XMarket (de)":24.4} | |
| {"index":38,"Rank":6,"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":50.38,"GerDaLIR":6.53,"GermanDPR":82.89,"GermanQuAD-Retrieval":94.66,"XMarket (de)":17.46} | |
| {"index":37,"Rank":7,"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":49.15,"GerDaLIR":6.89,"GermanDPR":79.51,"GermanQuAD-Retrieval":93.93,"XMarket (de)":16.27} | |
| {"index":40,"Rank":8,"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":48.62,"GerDaLIR":6.87,"GermanDPR":78.94,"GermanQuAD-Retrieval":93.14,"XMarket (de)":15.55} | |
| {"index":52,"Rank":9,"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":40.49,"GerDaLIR":1.14,"GermanDPR":67.88,"GermanQuAD-Retrieval":85.24,"XMarket (de)":7.72} | |
| {"index":51,"Rank":10,"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":38.42,"GerDaLIR":0.95,"GermanDPR":64.63,"GermanQuAD-Retrieval":82.14,"XMarket (de)":5.95} | |
| {"index":47,"Rank":11,"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":36.5,"GerDaLIR":2.02,"GermanDPR":60.82,"GermanQuAD-Retrieval":78.87,"XMarket (de)":4.27} | |
| {"index":50,"Rank":12,"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":35.59,"GerDaLIR":1.53,"GermanDPR":56.96,"GermanQuAD-Retrieval":75.63,"XMarket (de)":8.23} | |
| {"index":48,"Rank":13,"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":33.16,"GerDaLIR":0.55,"GermanDPR":50.27,"GermanQuAD-Retrieval":71.43,"XMarket (de)":10.4} | |
| {"index":49,"Rank":14,"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":31.76,"GerDaLIR":1.07,"GermanDPR":47.83,"GermanQuAD-Retrieval":68.82,"XMarket (de)":9.3} | |
| {"index":0,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":1,"Rank":16,"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":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":2,"Rank":17,"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":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":3,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":4,"Rank":19,"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":"","GerDaLIR":6.51,"GermanDPR":"","GermanQuAD-Retrieval":91.52,"XMarket (de)":23.15} | |
| {"index":5,"Rank":20,"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":"","GerDaLIR":7.75,"GermanDPR":"","GermanQuAD-Retrieval":94.54,"XMarket (de)":29.61} | |
| {"index":6,"Rank":21,"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":"","GerDaLIR":1.25,"GermanDPR":"","GermanQuAD-Retrieval":79.77,"XMarket (de)":15.71} | |
| {"index":7,"Rank":22,"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":"","GerDaLIR":1.61,"GermanDPR":"","GermanQuAD-Retrieval":83.41,"XMarket (de)":14.52} | |
| {"index":8,"Rank":23,"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":"","GerDaLIR":0.87,"GermanDPR":"","GermanQuAD-Retrieval":75.24,"XMarket (de)":13.22} | |
| {"index":9,"Rank":24,"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":"","GerDaLIR":2.38,"GermanDPR":"","GermanQuAD-Retrieval":88.23,"XMarket (de)":14.36} | |
| {"index":10,"Rank":25,"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":"","GerDaLIR":7.02,"GermanDPR":"","GermanQuAD-Retrieval":92.25,"XMarket (de)":20.96} | |
| {"index":11,"Rank":26,"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":"","GerDaLIR":8.62,"GermanDPR":"","GermanQuAD-Retrieval":94.31,"XMarket (de)":20.17} | |
| {"index":13,"Rank":27,"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":"","GerDaLIR":0.22,"GermanDPR":"","GermanQuAD-Retrieval":5.35,"XMarket (de)":3.29} | |
| {"index":14,"Rank":28,"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":"","GerDaLIR":0.25,"GermanDPR":"","GermanQuAD-Retrieval":5.16,"XMarket (de)":0.96} | |
| {"index":15,"Rank":29,"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":"","GerDaLIR":0.14,"GermanDPR":"","GermanQuAD-Retrieval":16.71,"XMarket (de)":1.2} | |
| {"index":17,"Rank":30,"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":"","GerDaLIR":20.03,"GermanDPR":79.36,"GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":18,"Rank":31,"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":"","GerDaLIR":8.22,"GermanDPR":"","GermanQuAD-Retrieval":95.22,"XMarket (de)":27.3} | |
| {"index":19,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/VectorStackAI\/vstackai-law-1\">vstackai-law-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":20,"Rank":33,"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":"","GerDaLIR":0.14,"GermanDPR":"","GermanQuAD-Retrieval":4.86,"XMarket (de)":0.6} | |
| {"index":21,"Rank":34,"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":"","GerDaLIR":0.25,"GermanDPR":"","GermanQuAD-Retrieval":5.61,"XMarket (de)":0.49} | |
| {"index":22,"Rank":35,"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":"","GerDaLIR":20.03,"GermanDPR":79.36,"GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":23,"Rank":36,"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":"","GerDaLIR":0.92,"GermanDPR":"","GermanQuAD-Retrieval":64.84,"XMarket (de)":1.71} | |
| {"index":24,"Rank":37,"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":"","GerDaLIR":0.23,"GermanDPR":"","GermanQuAD-Retrieval":19.33,"XMarket (de)":1.35} | |
| {"index":25,"Rank":38,"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":"","GerDaLIR":0.13,"GermanDPR":"","GermanQuAD-Retrieval":16.79,"XMarket (de)":0.98} | |
| {"index":26,"Rank":39,"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":"","GerDaLIR":0.41,"GermanDPR":"","GermanQuAD-Retrieval":54.92,"XMarket (de)":4.03} | |
| {"index":27,"Rank":40,"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":"","GerDaLIR":11.12,"GermanDPR":"","GermanQuAD-Retrieval":94.78,"XMarket (de)":11.45} | |
| {"index":28,"Rank":41,"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":"","GerDaLIR":0.14,"GermanDPR":"","GermanQuAD-Retrieval":2.67,"XMarket (de)":0.49} | |
| {"index":29,"Rank":42,"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":"","GerDaLIR":4.99,"GermanDPR":"","GermanQuAD-Retrieval":79.75,"XMarket (de)":6.28} | |
| {"index":30,"Rank":43,"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":"","GerDaLIR":1.0,"GermanDPR":46.48,"GermanQuAD-Retrieval":70.6,"XMarket (de)":""} | |
| {"index":31,"Rank":44,"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":"","GerDaLIR":1.11,"GermanDPR":"","GermanQuAD-Retrieval":76.71,"XMarket (de)":16.14} | |
| {"index":32,"Rank":45,"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":"","GerDaLIR":1.66,"GermanDPR":"","GermanQuAD-Retrieval":82.98,"XMarket (de)":14.27} | |
| {"index":33,"Rank":46,"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":"","GerDaLIR":3.65,"GermanDPR":"","GermanQuAD-Retrieval":85.05,"XMarket (de)":16.74} | |
| {"index":34,"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,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","GerDaLIR":2.66,"GermanDPR":"","GermanQuAD-Retrieval":87.74,"XMarket (de)":15.44} | |
| {"index":36,"Rank":48,"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":"","GerDaLIR":2.15,"GermanDPR":"","GermanQuAD-Retrieval":74.27,"XMarket (de)":15.22} | |
| {"index":41,"Rank":49,"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":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":18.27,"XMarket (de)":""} | |
| {"index":42,"Rank":50,"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":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":3.72,"XMarket (de)":""} | |
| {"index":43,"Rank":51,"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":"","GerDaLIR":20.03,"GermanDPR":79.36,"GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":44,"Rank":52,"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":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":46,"Rank":53,"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":"","GerDaLIR":5.68,"GermanDPR":"","GermanQuAD-Retrieval":81.22,"XMarket (de)":12.76} | |
| {"index":53,"Rank":54,"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":"","GerDaLIR":1.06,"GermanDPR":"","GermanQuAD-Retrieval":66.35,"XMarket (de)":5.95} | |
| {"index":54,"Rank":55,"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":"","GerDaLIR":0.13,"GermanDPR":"","GermanQuAD-Retrieval":19.17,"XMarket (de)":2.51} | |
| {"index":55,"Rank":56,"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":"","GerDaLIR":1.18,"GermanDPR":"","GermanQuAD-Retrieval":68.44,"XMarket (de)":4.04} | |
| {"index":56,"Rank":57,"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":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":"","XMarket (de)":""} | |
| {"index":57,"Rank":58,"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":"","GerDaLIR":"","GermanDPR":"","GermanQuAD-Retrieval":"","XMarket (de)":""} | |