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Add RAR-b LB
Browse files- EXTERNAL_MODEL_RESULTS.json +0 -0
- all_data_tasks/0/default.jsonl +29 -14
- app.py +0 -0
- boards_data/rar-b/data_overall/default.txt +0 -0
- boards_data/rar-b/data_tasks/Retrieval/default.jsonl +29 -0
- config.yaml +26 -0
- model_meta.yaml +353 -26
- refresh.py +4 -3
EXTERNAL_MODEL_RESULTS.json
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all_data_tasks/0/default.jsonl
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{"index":11,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/
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{"index":13,"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,"Average":35.2,"ARCChallenge":26.68,"AlphaNLI":34.0,"HellaSwag":39.45,"PIQA":44.35,"Quail":11.69,"RARbCode":84.0,"RARbMath":82.35,"SIQA":7.23,"SpartQA":9.29,"TempReasonL1":7.15,"TempReasonL2Fact":58.38,"TempReasonL2Pure":11.22,"TempReasonL3Fact":44.29,"TempReasonL3Pure":14.15,"WinoGrande":53.74}
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{"index":25,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":31.13,"ARCChallenge":21.22,"AlphaNLI":34.23,"HellaSwag":31.4,"PIQA":37.52,"Quail":13.6,"RARbCode":89.41,"RARbMath":87.73,"SIQA":4.99,"SpartQA":7.45,"TempReasonL1":2.07,"TempReasonL2Fact":39.77,"TempReasonL2Pure":11.04,"TempReasonL3Fact":37.04,"TempReasonL3Pure":15.51,"WinoGrande":33.92}
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{"index":12,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B-noinstruct<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":30.57,"ARCChallenge":16.57,"AlphaNLI":29.56,"HellaSwag":36.03,"PIQA":35.8,"Quail":8.68,"RARbCode":83.14,"RARbMath":83.01,"SIQA":5.73,"SpartQA":1.56,"TempReasonL1":2.57,"TempReasonL2Fact":48.25,"TempReasonL2Pure":8.98,"TempReasonL3Fact":34.11,"TempReasonL3Pure":12.44,"WinoGrande":52.12}
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{"index":26,"Rank":4,"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":29.95,"ARCChallenge":23.98,"AlphaNLI":37.27,"HellaSwag":34.12,"PIQA":41.96,"Quail":10.15,"RARbCode":89.64,"RARbMath":90.08,"SIQA":3.44,"SpartQA":7.51,"TempReasonL1":2.13,"TempReasonL2Fact":28.65,"TempReasonL2Pure":10.34,"TempReasonL3Fact":25.52,"TempReasonL3Pure":15.28,"WinoGrande":29.11}
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{"index":16,"Rank":5,"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":28.41,"ARCChallenge":17.81,"AlphaNLI":26.12,"HellaSwag":34.85,"PIQA":39.37,"Quail":7.01,"RARbCode":78.46,"RARbMath":72.16,"SIQA":5.42,"SpartQA":9.92,"TempReasonL1":3.31,"TempReasonL2Fact":36.9,"TempReasonL2Pure":9.18,"TempReasonL3Fact":30.18,"TempReasonL3Pure":14.31,"WinoGrande":41.21}
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{"index":17,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct-noinstruct\">e5-mistral-7b-instruct-noinstruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":28.04,"ARCChallenge":20.48,"AlphaNLI":18.88,"HellaSwag":32.25,"PIQA":32.8,"Quail":6.25,"RARbCode":79.84,"RARbMath":76.19,"SIQA":5.08,"SpartQA":10.87,"TempReasonL1":3.04,"TempReasonL2Fact":35.63,"TempReasonL2Pure":9.32,"TempReasonL3Fact":30.41,"TempReasonL3Pure":14.39,"WinoGrande":45.18}
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{"index":10,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":25.41,"ARCChallenge":10.1,"AlphaNLI":18.75,"HellaSwag":29.02,"PIQA":27.89,"Quail":7.77,"RARbCode":56.56,"RARbMath":72.05,"SIQA":5.03,"SpartQA":3.33,"TempReasonL1":1.43,"TempReasonL2Fact":40.46,"TempReasonL2Pure":2.39,"TempReasonL3Fact":33.87,"TempReasonL3Pure":7.52,"WinoGrande":65.02}
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{"index":28,"Rank":8,"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":24.2,"ARCChallenge":14.63,"AlphaNLI":30.61,"HellaSwag":30.94,"PIQA":33.69,"Quail":6.11,"RARbCode":72.03,"RARbMath":71.07,"SIQA":3.03,"SpartQA":6.63,"TempReasonL1":2.35,"TempReasonL2Fact":25.68,"TempReasonL2Pure":2.76,"TempReasonL3Fact":22.09,"TempReasonL3Pure":9.79,"WinoGrande":31.53}
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{"index":11,"Rank":9,"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":23.65,"ARCChallenge":9.89,"AlphaNLI":15.1,"HellaSwag":26.35,"PIQA":28.49,"Quail":4.1,"RARbCode":57.19,"RARbMath":72.26,"SIQA":4.26,"SpartQA":3.75,"TempReasonL1":1.5,"TempReasonL2Fact":35.91,"TempReasonL2Pure":1.89,"TempReasonL3Fact":27.51,"TempReasonL3Pure":8.53,"WinoGrande":58.01}
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{"index":24,"Rank":10,"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":22.57,"ARCChallenge":13.3,"AlphaNLI":25.65,"HellaSwag":29.29,"PIQA":31.02,"Quail":5.83,"RARbCode":83.39,"RARbMath":73.21,"SIQA":3.14,"SpartQA":4.23,"TempReasonL1":1.68,"TempReasonL2Fact":19.93,"TempReasonL2Pure":2.6,"TempReasonL3Fact":18.02,"TempReasonL3Pure":7.58,"WinoGrande":19.65}
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{"index":27,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":22.09,"ARCChallenge":13.76,"AlphaNLI":21.14,"HellaSwag":27.2,"PIQA":29.59,"Quail":6.64,"RARbCode":72.14,"RARbMath":64.31,"SIQA":2.98,"SpartQA":3.58,"TempReasonL1":2.29,"TempReasonL2Fact":26.34,"TempReasonL2Pure":3.17,"TempReasonL3Fact":22.72,"TempReasonL3Pure":9.98,"WinoGrande":25.49}
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{"index":7,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":21.48,"ARCChallenge":9.02,"AlphaNLI":24.73,"HellaSwag":25.67,"PIQA":22.93,"Quail":7.51,"RARbCode":38.8,"RARbMath":69.19,"SIQA":4.89,"SpartQA":7.49,"TempReasonL1":0.99,"TempReasonL2Fact":33.23,"TempReasonL2Pure":0.68,"TempReasonL3Fact":30.05,"TempReasonL3Pure":5.28,"WinoGrande":41.72}
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{"index":6,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3-instruct<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":20.83,"ARCChallenge":9.03,"AlphaNLI":24.69,"HellaSwag":25.55,"PIQA":19.03,"Quail":7.08,"RARbCode":39.58,"RARbMath":64.51,"SIQA":4.77,"SpartQA":7.0,"TempReasonL1":0.8,"TempReasonL2Fact":34.99,"TempReasonL2Pure":0.62,"TempReasonL3Fact":32.47,"TempReasonL3Pure":7.01,"WinoGrande":35.33}
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{"index":20,"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,"Average":19.61,"ARCChallenge":9.48,"AlphaNLI":28.19,"HellaSwag":24.21,"PIQA":25.28,"Quail":3.92,"RARbCode":44.27,"RARbMath":68.19,"SIQA":1.56,"SpartQA":1.65,"TempReasonL1":1.53,"TempReasonL2Fact":17.65,"TempReasonL2Pure":0.46,"TempReasonL3Fact":14.16,"TempReasonL3Pure":6.33,"WinoGrande":47.33}
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{"index":23,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":19.56,"ARCChallenge":11.85,"AlphaNLI":10.62,"HellaSwag":24.8,"PIQA":23.87,"Quail":5.79,"RARbCode":82.36,"RARbMath":67.26,"SIQA":2.64,"SpartQA":4.75,"TempReasonL1":1.44,"TempReasonL2Fact":19.38,"TempReasonL2Pure":2.43,"TempReasonL3Fact":17.58,"TempReasonL3Pure":7.31,"WinoGrande":11.36}
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{"index":1,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/dpr-scale\/tree\/main\/dragon\">dragon-plus<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":19.1,"ARCChallenge":8.91,"AlphaNLI":32.1,"HellaSwag":27.69,"PIQA":28.01,"Quail":4.09,"RARbCode":17.58,"RARbMath":45.09,"SIQA":2.0,"SpartQA":10.34,"TempReasonL1":1.82,"TempReasonL2Fact":17.45,"TempReasonL2Pure":0.55,"TempReasonL3Fact":15.71,"TempReasonL3Pure":7.97,"WinoGrande":67.18}
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{"index":22,"Rank":17,"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":18.03,"ARCChallenge":11.8,"AlphaNLI":22.41,"HellaSwag":26.27,"PIQA":29.03,"Quail":3.41,"RARbCode":53.21,"RARbMath":71.85,"SIQA":2.38,"SpartQA":0.22,"TempReasonL1":1.77,"TempReasonL2Fact":11.2,"TempReasonL2Pure":1.15,"TempReasonL3Fact":9.42,"TempReasonL3Pure":5.59,"WinoGrande":20.8}
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{"index":5,"Rank":18,"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,"Average":17.7,"ARCChallenge":9.99,"AlphaNLI":13.13,"HellaSwag":28.5,"PIQA":27.99,"Quail":1.83,"RARbCode":48.12,"RARbMath":57.36,"SIQA":1.04,"SpartQA":2.99,"TempReasonL1":1.46,"TempReasonL2Fact":24.25,"TempReasonL2Pure":2.35,"TempReasonL3Fact":20.64,"TempReasonL3Pure":6.67,"WinoGrande":19.18}
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{"index":18,"Rank":19,"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":17.35,"ARCChallenge":10.23,"AlphaNLI":25.35,"HellaSwag":24.08,"PIQA":26.44,"Quail":3.08,"RARbCode":42.44,"RARbMath":66.36,"SIQA":2.09,"SpartQA":2.67,"TempReasonL1":1.66,"TempReasonL2Fact":10.31,"TempReasonL2Pure":0.63,"TempReasonL3Fact":11.11,"TempReasonL3Pure":6.63,"WinoGrande":27.2}
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{"index":0,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/dpr-scale\/tree\/main\/dragon\">dragon-plus-instruct<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":16.73,"ARCChallenge":8.24,"AlphaNLI":25.18,"HellaSwag":24.06,"PIQA":26.35,"Quail":4.2,"RARbCode":12.84,"RARbMath":36.15,"SIQA":1.75,"SpartQA":10.82,"TempReasonL1":1.54,"TempReasonL2Fact":16.11,"TempReasonL2Pure":0.57,"TempReasonL3Fact":14.81,"TempReasonL3Pure":7.46,"WinoGrande":60.84}
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{"index":19,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2-instruct<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":15.95,"ARCChallenge":9.4,"AlphaNLI":15.09,"HellaSwag":20.51,"PIQA":24.68,"Quail":3.46,"RARbCode":42.47,"RARbMath":62.39,"SIQA":1.53,"SpartQA":0.57,"TempReasonL1":1.05,"TempReasonL2Fact":16.57,"TempReasonL2Pure":0.49,"TempReasonL3Fact":14.01,"TempReasonL3Pure":6.27,"WinoGrande":20.73}
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{"index":15,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/contriever\">contriever<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":15.86,"ARCChallenge":8.62,"AlphaNLI":31.77,"HellaSwag":14.42,"PIQA":24.64,"Quail":4.97,"RARbCode":9.28,"RARbMath":30.76,"SIQA":1.27,"SpartQA":10.94,"TempReasonL1":1.93,"TempReasonL2Fact":22.68,"TempReasonL2Pure":1.12,"TempReasonL3Fact":20.62,"TempReasonL3Pure":7.8,"WinoGrande":47.15}
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{"index":3,"Rank":23,"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":14.93,"ARCChallenge":9.66,"AlphaNLI":10.99,"HellaSwag":26.64,"PIQA":25.69,"Quail":1.42,"RARbCode":46.47,"RARbMath":46.86,"SIQA":0.94,"SpartQA":3.37,"TempReasonL1":1.07,"TempReasonL2Fact":17.23,"TempReasonL2Pure":1.29,"TempReasonL3Fact":13.36,"TempReasonL3Pure":5.2,"WinoGrande":13.76}
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{"index":4,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5-instruct<\/a>","Model Size (Million Parameters)":1340,"Memory Usage (GB, fp32)":4.99,"Average":14.55,"ARCChallenge":8.86,"AlphaNLI":0.86,"HellaSwag":26.24,"PIQA":23.26,"Quail":2.72,"RARbCode":45.25,"RARbMath":49.82,"SIQA":0.59,"SpartQA":2.34,"TempReasonL1":1.17,"TempReasonL2Fact":21.19,"TempReasonL2Pure":2.1,"TempReasonL3Fact":17.59,"TempReasonL3Pure":5.99,"WinoGrande":10.31}
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{"index":9,"Rank":25,"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,"Average":14.15,"ARCChallenge":8.95,"AlphaNLI":11.64,"HellaSwag":25.44,"PIQA":23.92,"Quail":1.75,"RARbCode":42.36,"RARbMath":44.98,"SIQA":0.77,"SpartQA":3.55,"TempReasonL1":1.41,"TempReasonL2Fact":17.56,"TempReasonL2Pure":1.05,"TempReasonL3Fact":13.88,"TempReasonL3Pure":4.76,"WinoGrande":10.28}
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{"index":21,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2-instruct<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":13.84,"ARCChallenge":10.35,"AlphaNLI":1.96,"HellaSwag":13.01,"PIQA":27.18,"Quail":3.02,"RARbCode":48.95,"RARbMath":69.21,"SIQA":1.29,"SpartQA":1.01,"TempReasonL1":1.52,"TempReasonL2Fact":7.28,"TempReasonL2Pure":1.03,"TempReasonL3Fact":7.03,"TempReasonL3Pure":5.16,"WinoGrande":9.66}
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| 27 |
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{"index":2,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5-instruct<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":13.52,"ARCChallenge":8.85,"AlphaNLI":4.13,"HellaSwag":24.03,"PIQA":23.03,"Quail":1.25,"RARbCode":46.32,"RARbMath":45.62,"SIQA":0.24,"SpartQA":2.67,"TempReasonL1":0.8,"TempReasonL2Fact":16.56,"TempReasonL2Pure":1.33,"TempReasonL3Fact":12.68,"TempReasonL3Pure":5.08,"WinoGrande":10.27}
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{"index":8,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5-instruct<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Average":12.6,"ARCChallenge":7.72,"AlphaNLI":1.26,"HellaSwag":23.41,"PIQA":20.79,"Quail":2.01,"RARbCode":41.52,"RARbMath":46.5,"SIQA":0.98,"SpartQA":2.86,"TempReasonL1":1.27,"TempReasonL2Fact":16.72,"TempReasonL2Pure":1.1,"TempReasonL3Fact":12.81,"TempReasonL3Pure":4.63,"WinoGrande":5.35}
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{"index":14,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/contriever\">contriever-instruct<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":"","ARCChallenge":7.63,"AlphaNLI":27.09,"HellaSwag":"","PIQA":21.73,"Quail":4.92,"RARbCode":7.12,"RARbMath":21.83,"SIQA":0.88,"SpartQA":10.56,"TempReasonL1":1.8,"TempReasonL2Fact":22.03,"TempReasonL2Pure":0.94,"TempReasonL3Fact":20.82,"TempReasonL3Pure":7.15,"WinoGrande":26.3}
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| 1 |
+
{"index":13,"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,"Average":35.2,"ARCChallenge":26.68,"AlphaNLI":34.0,"HellaSwag":39.45,"PIQA":44.35,"Quail":11.69,"RARbCode":84.0,"RARbMath":82.35,"SIQA":7.23,"SpartQA":9.29,"TempReasonL1":7.15,"TempReasonL2Fact":58.38,"TempReasonL2Pure":11.22,"TempReasonL3Fact":44.29,"TempReasonL3Pure":14.15,"WinoGrande":53.74}
|
| 2 |
+
{"index":25,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":31.13,"ARCChallenge":21.22,"AlphaNLI":34.23,"HellaSwag":31.4,"PIQA":37.52,"Quail":13.6,"RARbCode":89.41,"RARbMath":87.73,"SIQA":4.99,"SpartQA":7.45,"TempReasonL1":2.07,"TempReasonL2Fact":39.77,"TempReasonL2Pure":11.04,"TempReasonL3Fact":37.04,"TempReasonL3Pure":15.51,"WinoGrande":33.92}
|
| 3 |
+
{"index":12,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B-noinstruct<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":30.57,"ARCChallenge":16.57,"AlphaNLI":29.56,"HellaSwag":36.03,"PIQA":35.8,"Quail":8.68,"RARbCode":83.14,"RARbMath":83.01,"SIQA":5.73,"SpartQA":1.56,"TempReasonL1":2.57,"TempReasonL2Fact":48.25,"TempReasonL2Pure":8.98,"TempReasonL3Fact":34.11,"TempReasonL3Pure":12.44,"WinoGrande":52.12}
|
| 4 |
+
{"index":26,"Rank":4,"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":29.95,"ARCChallenge":23.98,"AlphaNLI":37.27,"HellaSwag":34.12,"PIQA":41.96,"Quail":10.15,"RARbCode":89.64,"RARbMath":90.08,"SIQA":3.44,"SpartQA":7.51,"TempReasonL1":2.13,"TempReasonL2Fact":28.65,"TempReasonL2Pure":10.34,"TempReasonL3Fact":25.52,"TempReasonL3Pure":15.28,"WinoGrande":29.11}
|
| 5 |
+
{"index":16,"Rank":5,"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":28.41,"ARCChallenge":17.81,"AlphaNLI":26.12,"HellaSwag":34.85,"PIQA":39.37,"Quail":7.01,"RARbCode":78.46,"RARbMath":72.16,"SIQA":5.42,"SpartQA":9.92,"TempReasonL1":3.31,"TempReasonL2Fact":36.9,"TempReasonL2Pure":9.18,"TempReasonL3Fact":30.18,"TempReasonL3Pure":14.31,"WinoGrande":41.21}
|
| 6 |
+
{"index":17,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct-noinstruct\">e5-mistral-7b-instruct-noinstruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":28.04,"ARCChallenge":20.48,"AlphaNLI":18.88,"HellaSwag":32.25,"PIQA":32.8,"Quail":6.25,"RARbCode":79.84,"RARbMath":76.19,"SIQA":5.08,"SpartQA":10.87,"TempReasonL1":3.04,"TempReasonL2Fact":35.63,"TempReasonL2Pure":9.32,"TempReasonL3Fact":30.41,"TempReasonL3Pure":14.39,"WinoGrande":45.18}
|
| 7 |
+
{"index":10,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":25.41,"ARCChallenge":10.1,"AlphaNLI":18.75,"HellaSwag":29.02,"PIQA":27.89,"Quail":7.77,"RARbCode":56.56,"RARbMath":72.05,"SIQA":5.03,"SpartQA":3.33,"TempReasonL1":1.43,"TempReasonL2Fact":40.46,"TempReasonL2Pure":2.39,"TempReasonL3Fact":33.87,"TempReasonL3Pure":7.52,"WinoGrande":65.02}
|
| 8 |
+
{"index":28,"Rank":8,"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":24.2,"ARCChallenge":14.63,"AlphaNLI":30.61,"HellaSwag":30.94,"PIQA":33.69,"Quail":6.11,"RARbCode":72.03,"RARbMath":71.07,"SIQA":3.03,"SpartQA":6.63,"TempReasonL1":2.35,"TempReasonL2Fact":25.68,"TempReasonL2Pure":2.76,"TempReasonL3Fact":22.09,"TempReasonL3Pure":9.79,"WinoGrande":31.53}
|
| 9 |
+
{"index":11,"Rank":9,"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":23.65,"ARCChallenge":9.89,"AlphaNLI":15.1,"HellaSwag":26.35,"PIQA":28.49,"Quail":4.1,"RARbCode":57.19,"RARbMath":72.26,"SIQA":4.26,"SpartQA":3.75,"TempReasonL1":1.5,"TempReasonL2Fact":35.91,"TempReasonL2Pure":1.89,"TempReasonL3Fact":27.51,"TempReasonL3Pure":8.53,"WinoGrande":58.01}
|
| 10 |
+
{"index":24,"Rank":10,"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":22.57,"ARCChallenge":13.3,"AlphaNLI":25.65,"HellaSwag":29.29,"PIQA":31.02,"Quail":5.83,"RARbCode":83.39,"RARbMath":73.21,"SIQA":3.14,"SpartQA":4.23,"TempReasonL1":1.68,"TempReasonL2Fact":19.93,"TempReasonL2Pure":2.6,"TempReasonL3Fact":18.02,"TempReasonL3Pure":7.58,"WinoGrande":19.65}
|
| 11 |
+
{"index":27,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":22.09,"ARCChallenge":13.76,"AlphaNLI":21.14,"HellaSwag":27.2,"PIQA":29.59,"Quail":6.64,"RARbCode":72.14,"RARbMath":64.31,"SIQA":2.98,"SpartQA":3.58,"TempReasonL1":2.29,"TempReasonL2Fact":26.34,"TempReasonL2Pure":3.17,"TempReasonL3Fact":22.72,"TempReasonL3Pure":9.98,"WinoGrande":25.49}
|
| 12 |
+
{"index":7,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":21.48,"ARCChallenge":9.02,"AlphaNLI":24.73,"HellaSwag":25.67,"PIQA":22.93,"Quail":7.51,"RARbCode":38.8,"RARbMath":69.19,"SIQA":4.89,"SpartQA":7.49,"TempReasonL1":0.99,"TempReasonL2Fact":33.23,"TempReasonL2Pure":0.68,"TempReasonL3Fact":30.05,"TempReasonL3Pure":5.28,"WinoGrande":41.72}
|
| 13 |
+
{"index":6,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3-instruct<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":20.83,"ARCChallenge":9.03,"AlphaNLI":24.69,"HellaSwag":25.55,"PIQA":19.03,"Quail":7.08,"RARbCode":39.58,"RARbMath":64.51,"SIQA":4.77,"SpartQA":7.0,"TempReasonL1":0.8,"TempReasonL2Fact":34.99,"TempReasonL2Pure":0.62,"TempReasonL3Fact":32.47,"TempReasonL3Pure":7.01,"WinoGrande":35.33}
|
| 14 |
+
{"index":20,"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,"Average":19.61,"ARCChallenge":9.48,"AlphaNLI":28.19,"HellaSwag":24.21,"PIQA":25.28,"Quail":3.92,"RARbCode":44.27,"RARbMath":68.19,"SIQA":1.56,"SpartQA":1.65,"TempReasonL1":1.53,"TempReasonL2Fact":17.65,"TempReasonL2Pure":0.46,"TempReasonL3Fact":14.16,"TempReasonL3Pure":6.33,"WinoGrande":47.33}
|
| 15 |
+
{"index":23,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":19.56,"ARCChallenge":11.85,"AlphaNLI":10.62,"HellaSwag":24.8,"PIQA":23.87,"Quail":5.79,"RARbCode":82.36,"RARbMath":67.26,"SIQA":2.64,"SpartQA":4.75,"TempReasonL1":1.44,"TempReasonL2Fact":19.38,"TempReasonL2Pure":2.43,"TempReasonL3Fact":17.58,"TempReasonL3Pure":7.31,"WinoGrande":11.36}
|
| 16 |
+
{"index":1,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/dpr-scale\/tree\/main\/dragon\">dragon-plus<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":19.1,"ARCChallenge":8.91,"AlphaNLI":32.1,"HellaSwag":27.69,"PIQA":28.01,"Quail":4.09,"RARbCode":17.58,"RARbMath":45.09,"SIQA":2.0,"SpartQA":10.34,"TempReasonL1":1.82,"TempReasonL2Fact":17.45,"TempReasonL2Pure":0.55,"TempReasonL3Fact":15.71,"TempReasonL3Pure":7.97,"WinoGrande":67.18}
|
| 17 |
+
{"index":22,"Rank":17,"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":18.03,"ARCChallenge":11.8,"AlphaNLI":22.41,"HellaSwag":26.27,"PIQA":29.03,"Quail":3.41,"RARbCode":53.21,"RARbMath":71.85,"SIQA":2.38,"SpartQA":0.22,"TempReasonL1":1.77,"TempReasonL2Fact":11.2,"TempReasonL2Pure":1.15,"TempReasonL3Fact":9.42,"TempReasonL3Pure":5.59,"WinoGrande":20.8}
|
| 18 |
+
{"index":5,"Rank":18,"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,"Average":17.7,"ARCChallenge":9.99,"AlphaNLI":13.13,"HellaSwag":28.5,"PIQA":27.99,"Quail":1.83,"RARbCode":48.12,"RARbMath":57.36,"SIQA":1.04,"SpartQA":2.99,"TempReasonL1":1.46,"TempReasonL2Fact":24.25,"TempReasonL2Pure":2.35,"TempReasonL3Fact":20.64,"TempReasonL3Pure":6.67,"WinoGrande":19.18}
|
| 19 |
+
{"index":18,"Rank":19,"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":17.35,"ARCChallenge":10.23,"AlphaNLI":25.35,"HellaSwag":24.08,"PIQA":26.44,"Quail":3.08,"RARbCode":42.44,"RARbMath":66.36,"SIQA":2.09,"SpartQA":2.67,"TempReasonL1":1.66,"TempReasonL2Fact":10.31,"TempReasonL2Pure":0.63,"TempReasonL3Fact":11.11,"TempReasonL3Pure":6.63,"WinoGrande":27.2}
|
| 20 |
+
{"index":0,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/dpr-scale\/tree\/main\/dragon\">dragon-plus-instruct<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":16.73,"ARCChallenge":8.24,"AlphaNLI":25.18,"HellaSwag":24.06,"PIQA":26.35,"Quail":4.2,"RARbCode":12.84,"RARbMath":36.15,"SIQA":1.75,"SpartQA":10.82,"TempReasonL1":1.54,"TempReasonL2Fact":16.11,"TempReasonL2Pure":0.57,"TempReasonL3Fact":14.81,"TempReasonL3Pure":7.46,"WinoGrande":60.84}
|
| 21 |
+
{"index":19,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2-instruct<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":15.95,"ARCChallenge":9.4,"AlphaNLI":15.09,"HellaSwag":20.51,"PIQA":24.68,"Quail":3.46,"RARbCode":42.47,"RARbMath":62.39,"SIQA":1.53,"SpartQA":0.57,"TempReasonL1":1.05,"TempReasonL2Fact":16.57,"TempReasonL2Pure":0.49,"TempReasonL3Fact":14.01,"TempReasonL3Pure":6.27,"WinoGrande":20.73}
|
| 22 |
+
{"index":15,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/contriever\">contriever<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":15.86,"ARCChallenge":8.62,"AlphaNLI":31.77,"HellaSwag":14.42,"PIQA":24.64,"Quail":4.97,"RARbCode":9.28,"RARbMath":30.76,"SIQA":1.27,"SpartQA":10.94,"TempReasonL1":1.93,"TempReasonL2Fact":22.68,"TempReasonL2Pure":1.12,"TempReasonL3Fact":20.62,"TempReasonL3Pure":7.8,"WinoGrande":47.15}
|
| 23 |
+
{"index":3,"Rank":23,"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":14.93,"ARCChallenge":9.66,"AlphaNLI":10.99,"HellaSwag":26.64,"PIQA":25.69,"Quail":1.42,"RARbCode":46.47,"RARbMath":46.86,"SIQA":0.94,"SpartQA":3.37,"TempReasonL1":1.07,"TempReasonL2Fact":17.23,"TempReasonL2Pure":1.29,"TempReasonL3Fact":13.36,"TempReasonL3Pure":5.2,"WinoGrande":13.76}
|
| 24 |
+
{"index":4,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5-instruct<\/a>","Model Size (Million Parameters)":1340,"Memory Usage (GB, fp32)":4.99,"Average":14.55,"ARCChallenge":8.86,"AlphaNLI":0.86,"HellaSwag":26.24,"PIQA":23.26,"Quail":2.72,"RARbCode":45.25,"RARbMath":49.82,"SIQA":0.59,"SpartQA":2.34,"TempReasonL1":1.17,"TempReasonL2Fact":21.19,"TempReasonL2Pure":2.1,"TempReasonL3Fact":17.59,"TempReasonL3Pure":5.99,"WinoGrande":10.31}
|
| 25 |
+
{"index":9,"Rank":25,"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,"Average":14.15,"ARCChallenge":8.95,"AlphaNLI":11.64,"HellaSwag":25.44,"PIQA":23.92,"Quail":1.75,"RARbCode":42.36,"RARbMath":44.98,"SIQA":0.77,"SpartQA":3.55,"TempReasonL1":1.41,"TempReasonL2Fact":17.56,"TempReasonL2Pure":1.05,"TempReasonL3Fact":13.88,"TempReasonL3Pure":4.76,"WinoGrande":10.28}
|
| 26 |
+
{"index":21,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2-instruct<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":13.84,"ARCChallenge":10.35,"AlphaNLI":1.96,"HellaSwag":13.01,"PIQA":27.18,"Quail":3.02,"RARbCode":48.95,"RARbMath":69.21,"SIQA":1.29,"SpartQA":1.01,"TempReasonL1":1.52,"TempReasonL2Fact":7.28,"TempReasonL2Pure":1.03,"TempReasonL3Fact":7.03,"TempReasonL3Pure":5.16,"WinoGrande":9.66}
|
| 27 |
+
{"index":2,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5-instruct<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":13.52,"ARCChallenge":8.85,"AlphaNLI":4.13,"HellaSwag":24.03,"PIQA":23.03,"Quail":1.25,"RARbCode":46.32,"RARbMath":45.62,"SIQA":0.24,"SpartQA":2.67,"TempReasonL1":0.8,"TempReasonL2Fact":16.56,"TempReasonL2Pure":1.33,"TempReasonL3Fact":12.68,"TempReasonL3Pure":5.08,"WinoGrande":10.27}
|
| 28 |
+
{"index":8,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5-instruct<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Average":12.6,"ARCChallenge":7.72,"AlphaNLI":1.26,"HellaSwag":23.41,"PIQA":20.79,"Quail":2.01,"RARbCode":41.52,"RARbMath":46.5,"SIQA":0.98,"SpartQA":2.86,"TempReasonL1":1.27,"TempReasonL2Fact":16.72,"TempReasonL2Pure":1.1,"TempReasonL3Fact":12.81,"TempReasonL3Pure":4.63,"WinoGrande":5.35}
|
| 29 |
+
{"index":14,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/contriever\">contriever-instruct<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":"","ARCChallenge":7.63,"AlphaNLI":27.09,"HellaSwag":"","PIQA":21.73,"Quail":4.92,"RARbCode":7.12,"RARbMath":21.83,"SIQA":0.88,"SpartQA":10.56,"TempReasonL1":1.8,"TempReasonL2Fact":22.03,"TempReasonL2Pure":0.94,"TempReasonL3Fact":20.82,"TempReasonL3Pure":7.15,"WinoGrande":26.3}
|
config.yaml
CHANGED
|
@@ -403,6 +403,32 @@ boards:
|
|
| 403 |
credits: null
|
| 404 |
tasks:
|
| 405 |
STS: ["STS17 (ar-ar)", "STS17 (en-ar)", "STS17 (en-de)", "STS17 (en-tr)", "STS17 (es-en)", "STS17 (es-es)", "STS17 (fr-en)", "STS17 (it-en)", "STS17 (ko-ko)", "STS17 (nl-en)", "STS22 (ar)", "STS22 (de)", "STS22 (de-en)", "STS22 (de-fr)", "STS22 (de-pl)", "STS22 (es)", "STS22 (es-en)", "STS22 (es-it)", "STS22 (fr)", "STS22 (fr-pl)", "STS22 (it)", "STS22 (pl)", "STS22 (pl-en)", "STS22 (ru)", "STS22 (tr)", "STS22 (zh-en)", "STSBenchmark"]
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|
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|
|
| 406 |
bright:
|
| 407 |
title: BRIGHT
|
| 408 |
language_long: "English"
|
|
|
|
| 403 |
credits: null
|
| 404 |
tasks:
|
| 405 |
STS: ["STS17 (ar-ar)", "STS17 (en-ar)", "STS17 (en-de)", "STS17 (en-tr)", "STS17 (es-en)", "STS17 (es-es)", "STS17 (fr-en)", "STS17 (it-en)", "STS17 (ko-ko)", "STS17 (nl-en)", "STS22 (ar)", "STS22 (de)", "STS22 (de-en)", "STS22 (de-fr)", "STS22 (de-pl)", "STS22 (es)", "STS22 (es-en)", "STS22 (es-it)", "STS22 (fr)", "STS22 (fr-pl)", "STS22 (it)", "STS22 (pl)", "STS22 (pl-en)", "STS22 (ru)", "STS22 (tr)", "STS22 (zh-en)", "STSBenchmark"]
|
| 406 |
+
rar-b:
|
| 407 |
+
title: RAR-b
|
| 408 |
+
language_long: "English"
|
| 409 |
+
has_overall: false
|
| 410 |
+
acronym: null
|
| 411 |
+
icon: "📚"
|
| 412 |
+
special_icons: null
|
| 413 |
+
credits: "[RAR-b (Xiao et al.)](https://arxiv.org/abs/2404.06347/)"
|
| 414 |
+
metric: nDCG@10
|
| 415 |
+
tasks:
|
| 416 |
+
Retrieval:
|
| 417 |
+
- ARCChallenge
|
| 418 |
+
- AlphaNLI
|
| 419 |
+
- HellaSwag
|
| 420 |
+
- PIQA
|
| 421 |
+
- Quail
|
| 422 |
+
- RARbCode
|
| 423 |
+
- RARbMath
|
| 424 |
+
- SIQA
|
| 425 |
+
- SpartQA
|
| 426 |
+
- TempReasonL1
|
| 427 |
+
- TempReasonL2Fact
|
| 428 |
+
- TempReasonL2Pure
|
| 429 |
+
- TempReasonL3Fact
|
| 430 |
+
- TempReasonL3Pure
|
| 431 |
+
- WinoGrande
|
| 432 |
bright:
|
| 433 |
title: BRIGHT
|
| 434 |
language_long: "English"
|
model_meta.yaml
CHANGED
|
@@ -7,6 +7,7 @@ model_meta:
|
|
| 7 |
is_external: true
|
| 8 |
is_proprietary: true
|
| 9 |
is_sentence_transformers_compatible: false
|
|
|
|
| 10 |
Cohere-embed-english-v3.0:
|
| 11 |
link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
|
| 12 |
seq_len: 512
|
|
@@ -15,6 +16,16 @@ model_meta:
|
|
| 15 |
is_external: true
|
| 16 |
is_proprietary: true
|
| 17 |
is_sentence_transformers_compatible: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
Cohere-embed-multilingual-light-v3.0:
|
| 19 |
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-light-v3.0
|
| 20 |
seq_len: 512
|
|
@@ -23,6 +34,7 @@ model_meta:
|
|
| 23 |
is_external: true
|
| 24 |
is_proprietary: true
|
| 25 |
is_sentence_transformers_compatible: false
|
|
|
|
| 26 |
Cohere-embed-multilingual-v3.0:
|
| 27 |
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-v3.0
|
| 28 |
seq_len: 512
|
|
@@ -31,6 +43,7 @@ model_meta:
|
|
| 31 |
is_external: true
|
| 32 |
is_proprietary: true
|
| 33 |
is_sentence_transformers_compatible: false
|
|
|
|
| 34 |
DanskBERT:
|
| 35 |
link: https://huggingface.co/vesteinn/DanskBERT
|
| 36 |
seq_len: 514
|
|
@@ -39,6 +52,7 @@ model_meta:
|
|
| 39 |
is_external: true
|
| 40 |
is_proprietary: false
|
| 41 |
is_sentence_transformers_compatible: true
|
|
|
|
| 42 |
FollowIR-7B:
|
| 43 |
link: https://huggingface.co/jhu-clsp/FollowIR-7B
|
| 44 |
seq_len: 4096
|
|
@@ -46,6 +60,7 @@ model_meta:
|
|
| 46 |
is_external: true
|
| 47 |
is_propietary: false
|
| 48 |
is_sentence_transformer_compatible: false
|
|
|
|
| 49 |
GritLM-7B:
|
| 50 |
link: https://huggingface.co/GritLM/GritLM-7B
|
| 51 |
seq_len: 4096
|
|
@@ -53,6 +68,15 @@ model_meta:
|
|
| 53 |
is_external: true
|
| 54 |
is_propietary: false
|
| 55 |
is_sentence_transformer_compatible: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 56 |
LASER2:
|
| 57 |
link: https://github.com/facebookresearch/LASER
|
| 58 |
seq_len: N/A
|
|
@@ -61,6 +85,7 @@ model_meta:
|
|
| 61 |
is_external: true
|
| 62 |
is_proprietary: false
|
| 63 |
is_sentence_transformers_compatible: false
|
|
|
|
| 64 |
LLM2Vec-Llama-2-supervised:
|
| 65 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised
|
| 66 |
seq_len: 4096
|
|
@@ -69,6 +94,7 @@ model_meta:
|
|
| 69 |
is_external: true
|
| 70 |
is_proprietary: false
|
| 71 |
is_sentence_transformers_compatible: false
|
|
|
|
| 72 |
LLM2Vec-Llama-2-unsupervised:
|
| 73 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse
|
| 74 |
seq_len: 4096
|
|
@@ -77,6 +103,7 @@ model_meta:
|
|
| 77 |
is_external: true
|
| 78 |
is_proprietary: false
|
| 79 |
is_sentence_transformers_compatible: false
|
|
|
|
| 80 |
LLM2Vec-Meta-Llama-3-supervised:
|
| 81 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
|
| 82 |
seq_len: 8192
|
|
@@ -85,6 +112,7 @@ model_meta:
|
|
| 85 |
is_external: true
|
| 86 |
is_proprietary: false
|
| 87 |
is_sentence_transformers_compatible: false
|
|
|
|
| 88 |
LLM2Vec-Meta-Llama-3-unsupervised:
|
| 89 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse
|
| 90 |
seq_len: 8192
|
|
@@ -93,6 +121,7 @@ model_meta:
|
|
| 93 |
is_external: true
|
| 94 |
is_proprietary: false
|
| 95 |
is_sentence_transformers_compatible: false
|
|
|
|
| 96 |
LLM2Vec-Mistral-supervised:
|
| 97 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
|
| 98 |
seq_len: 32768
|
|
@@ -101,6 +130,7 @@ model_meta:
|
|
| 101 |
is_external: true
|
| 102 |
is_proprietary: false
|
| 103 |
is_sentence_transformers_compatible: false
|
|
|
|
| 104 |
LLM2Vec-Mistral-unsupervised:
|
| 105 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
|
| 106 |
seq_len: 32768
|
|
@@ -109,6 +139,7 @@ model_meta:
|
|
| 109 |
is_external: true
|
| 110 |
is_proprietary: false
|
| 111 |
is_sentence_transformers_compatible: false
|
|
|
|
| 112 |
LLM2Vec-Sheared-Llama-supervised:
|
| 113 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised
|
| 114 |
seq_len: 4096
|
|
@@ -117,6 +148,7 @@ model_meta:
|
|
| 117 |
is_external: true
|
| 118 |
is_proprietary: false
|
| 119 |
is_sentence_transformers_compatible: false
|
|
|
|
| 120 |
LLM2Vec-Sheared-Llama-unsupervised:
|
| 121 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
|
| 122 |
seq_len: 4096
|
|
@@ -125,6 +157,7 @@ model_meta:
|
|
| 125 |
is_external: true
|
| 126 |
is_proprietary: false
|
| 127 |
is_sentence_transformers_compatible: false
|
|
|
|
| 128 |
LaBSE:
|
| 129 |
link: https://huggingface.co/sentence-transformers/LaBSE
|
| 130 |
seq_len: 512
|
|
@@ -133,6 +166,34 @@ model_meta:
|
|
| 133 |
is_external: true
|
| 134 |
is_proprietary: false
|
| 135 |
is_sentence_transformers_compatible: true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 136 |
OpenSearch-text-hybrid:
|
| 137 |
link: https://help.aliyun.com/zh/open-search/vector-search-edition/hybrid-retrieval
|
| 138 |
seq_len: 512
|
|
@@ -141,6 +202,7 @@ model_meta:
|
|
| 141 |
is_external: true
|
| 142 |
is_proprietary: true
|
| 143 |
is_sentence_transformers_compatible: false
|
|
|
|
| 144 |
SFR-Embedding-Mistral:
|
| 145 |
link: https://huggingface.co/Salesforce/SFR-Embedding-Mistral
|
| 146 |
seq_len: 32768
|
|
@@ -149,6 +211,7 @@ model_meta:
|
|
| 149 |
is_external: true
|
| 150 |
is_proprietary: false
|
| 151 |
is_sentence_transformers_compatible: true
|
|
|
|
| 152 |
all-MiniLM-L12-v2:
|
| 153 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2
|
| 154 |
seq_len: 512
|
|
@@ -157,6 +220,7 @@ model_meta:
|
|
| 157 |
is_external: true
|
| 158 |
is_proprietary: false
|
| 159 |
is_sentence_transformers_compatible: true
|
|
|
|
| 160 |
all-MiniLM-L6-v2:
|
| 161 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
|
| 162 |
seq_len: 512
|
|
@@ -165,6 +229,16 @@ model_meta:
|
|
| 165 |
is_external: true
|
| 166 |
is_proprietary: false
|
| 167 |
is_sentence_transformers_compatible: true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 168 |
all-mpnet-base-v2:
|
| 169 |
link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
|
| 170 |
seq_len: 514
|
|
@@ -173,6 +247,16 @@ model_meta:
|
|
| 173 |
is_external: true
|
| 174 |
is_proprietary: false
|
| 175 |
is_sentence_transformers_compatible: true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 176 |
allenai-specter:
|
| 177 |
link: https://huggingface.co/sentence-transformers/allenai-specter
|
| 178 |
seq_len: 512
|
|
@@ -181,6 +265,7 @@ model_meta:
|
|
| 181 |
is_external: true
|
| 182 |
is_proprietary: false
|
| 183 |
is_sentence_transformers_compatible: true
|
|
|
|
| 184 |
bert-base-10lang-cased:
|
| 185 |
link: https://huggingface.co/Geotrend/bert-base-10lang-cased
|
| 186 |
seq_len: 512
|
|
@@ -189,6 +274,7 @@ model_meta:
|
|
| 189 |
is_external: true
|
| 190 |
is_proprietary: false
|
| 191 |
is_sentence_transformers_compatible: true
|
|
|
|
| 192 |
bert-base-15lang-cased:
|
| 193 |
link: https://huggingface.co/Geotrend/bert-base-15lang-cased
|
| 194 |
seq_len: 512
|
|
@@ -197,6 +283,7 @@ model_meta:
|
|
| 197 |
is_external: true
|
| 198 |
is_proprietary: false
|
| 199 |
is_sentence_transformers_compatible: true
|
|
|
|
| 200 |
bert-base-25lang-cased:
|
| 201 |
link: https://huggingface.co/Geotrend/bert-base-25lang-cased
|
| 202 |
seq_len: 512
|
|
@@ -205,6 +292,7 @@ model_meta:
|
|
| 205 |
is_external: true
|
| 206 |
is_proprietary: false
|
| 207 |
is_sentence_transformers_compatible: true
|
|
|
|
| 208 |
bert-base-multilingual-cased:
|
| 209 |
link: https://huggingface.co/google-bert/bert-base-multilingual-cased
|
| 210 |
seq_len: 512
|
|
@@ -213,6 +301,7 @@ model_meta:
|
|
| 213 |
is_external: true
|
| 214 |
is_proprietary: false
|
| 215 |
is_sentence_transformers_compatible: true
|
|
|
|
| 216 |
bert-base-multilingual-uncased:
|
| 217 |
link: https://huggingface.co/google-bert/bert-base-multilingual-uncased
|
| 218 |
seq_len: 512
|
|
@@ -221,6 +310,7 @@ model_meta:
|
|
| 221 |
is_external: true
|
| 222 |
is_proprietary: false
|
| 223 |
is_sentence_transformers_compatible: true
|
|
|
|
| 224 |
bert-base-swedish-cased:
|
| 225 |
link: https://huggingface.co/KB/bert-base-swedish-cased
|
| 226 |
seq_len: 512
|
|
@@ -229,6 +319,7 @@ model_meta:
|
|
| 229 |
is_external: true
|
| 230 |
is_proprietary: false
|
| 231 |
is_sentence_transformers_compatible: true
|
|
|
|
| 232 |
bert-base-uncased:
|
| 233 |
link: https://huggingface.co/bert-base-uncased
|
| 234 |
seq_len: 512
|
|
@@ -237,6 +328,25 @@ model_meta:
|
|
| 237 |
is_external: true
|
| 238 |
is_proprietary: false
|
| 239 |
is_sentence_transformers_compatible: true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 240 |
bge-base-zh-v1.5:
|
| 241 |
link: https://huggingface.co/BAAI/bge-base-zh-v1.5
|
| 242 |
seq_len: 512
|
|
@@ -245,14 +355,25 @@ model_meta:
|
|
| 245 |
is_external: true
|
| 246 |
is_proprietary: false
|
| 247 |
is_sentence_transformers_compatible: true
|
|
|
|
| 248 |
bge-large-en-v1.5:
|
| 249 |
link: https://huggingface.co/BAAI/bge-large-en-v1.5
|
| 250 |
seq_len: 512
|
| 251 |
-
size:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 252 |
dim: 1024
|
| 253 |
is_external: true
|
| 254 |
is_proprietary: false
|
| 255 |
is_sentence_transformers_compatible: false
|
|
|
|
| 256 |
bge-large-zh-noinstruct:
|
| 257 |
link: https://huggingface.co/BAAI/bge-large-zh-noinstruct
|
| 258 |
seq_len: 512
|
|
@@ -261,6 +382,7 @@ model_meta:
|
|
| 261 |
is_external: true
|
| 262 |
is_proprietary: false
|
| 263 |
is_sentence_transformers_compatible: true
|
|
|
|
| 264 |
bge-large-zh-v1.5:
|
| 265 |
link: https://huggingface.co/BAAI/bge-large-zh-v1.5
|
| 266 |
seq_len: 512
|
|
@@ -269,6 +391,7 @@ model_meta:
|
|
| 269 |
is_external: true
|
| 270 |
is_proprietary: false
|
| 271 |
is_sentence_transformers_compatible: true
|
|
|
|
| 272 |
bge-m3:
|
| 273 |
link: https://huggingface.co/BAAI/bge-m3
|
| 274 |
seq_len: 8192
|
|
@@ -277,6 +400,34 @@ model_meta:
|
|
| 277 |
is_external: true
|
| 278 |
is_proprietary: false
|
| 279 |
is_sentence_transformers_compatible: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 280 |
bge-small-zh-v1.5:
|
| 281 |
link: https://huggingface.co/BAAI/bge-small-zh-v1.5
|
| 282 |
seq_len: 512
|
|
@@ -285,12 +436,21 @@ model_meta:
|
|
| 285 |
is_external: true
|
| 286 |
is_proprietary: false
|
| 287 |
is_sentence_transformers_compatible: true
|
| 288 |
-
|
|
|
|
| 289 |
link: https://en.wikipedia.org/wiki/Okapi_BM25
|
| 290 |
size: 0
|
| 291 |
is_external: true
|
| 292 |
is_proprietary: false
|
| 293 |
is_sentence_transformers_compatible: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 294 |
camembert-base:
|
| 295 |
link: https://huggingface.co/almanach/camembert-base
|
| 296 |
seq_len: 512
|
|
@@ -299,6 +459,7 @@ model_meta:
|
|
| 299 |
is_external: false
|
| 300 |
is_proprietary: false
|
| 301 |
is_sentence_transformers_compatible: true
|
|
|
|
| 302 |
camembert-large:
|
| 303 |
link: https://huggingface.co/almanach/camembert-large
|
| 304 |
seq_len: 512
|
|
@@ -307,6 +468,7 @@ model_meta:
|
|
| 307 |
is_external: false
|
| 308 |
is_proprietary: false
|
| 309 |
is_sentence_transformers_compatible: true
|
|
|
|
| 310 |
contriever-base-msmarco:
|
| 311 |
link: https://huggingface.co/nthakur/contriever-base-msmarco
|
| 312 |
seq_len: 512
|
|
@@ -315,6 +477,25 @@ model_meta:
|
|
| 315 |
is_external: true
|
| 316 |
is_proprietary: false
|
| 317 |
is_sentence_transformers_compatible: true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 318 |
cross-en-de-roberta-sentence-transformer:
|
| 319 |
link: https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer
|
| 320 |
seq_len: 514
|
|
@@ -323,6 +504,7 @@ model_meta:
|
|
| 323 |
is_external: true
|
| 324 |
is_proprietary: false
|
| 325 |
is_sentence_transformers_compatible: true
|
|
|
|
| 326 |
dfm-encoder-large-v1:
|
| 327 |
link: https://huggingface.co/chcaa/dfm-encoder-large-v1
|
| 328 |
seq_len: 512
|
|
@@ -331,6 +513,7 @@ model_meta:
|
|
| 331 |
is_external: true
|
| 332 |
is_proprietary: false
|
| 333 |
is_sentence_transformers_compatible: true
|
|
|
|
| 334 |
dfm-sentence-encoder-large-1:
|
| 335 |
link: https://huggingface.co/chcaa/dfm-encoder-large-v1
|
| 336 |
seq_len: 512
|
|
@@ -339,6 +522,7 @@ model_meta:
|
|
| 339 |
is_external: true
|
| 340 |
is_proprietary: false
|
| 341 |
is_sentence_transformers_compatible: true
|
|
|
|
| 342 |
distilbert-base-25lang-cased:
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| 343 |
link: https://huggingface.co/Geotrend/distilbert-base-25lang-cased
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| 344 |
seq_len: 512
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@@ -347,6 +531,7 @@ model_meta:
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is_external: false
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is_proprietary: false
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is_sentence_transformers_compatible: true
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distilbert-base-en-fr-cased:
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| 351 |
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-cased
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| 352 |
seq_len: 512
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@@ -355,6 +540,7 @@ model_meta:
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is_external: false
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| 356 |
is_proprietary: false
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| 357 |
is_sentence_transformers_compatible: true
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distilbert-base-en-fr-es-pt-it-cased:
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| 359 |
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-es-pt-it-cased
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| 360 |
seq_len: 512
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@@ -363,6 +549,7 @@ model_meta:
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is_external: false
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| 364 |
is_proprietary: false
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| 365 |
is_sentence_transformers_compatible: true
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| 366 |
distilbert-base-fr-cased:
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| 367 |
link: https://huggingface.co/Geotrend/distilbert-base-fr-cased
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| 368 |
seq_len: 512
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@@ -371,6 +558,7 @@ model_meta:
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is_external: false
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| 372 |
is_proprietary: false
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| 373 |
is_sentence_transformers_compatible: true
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| 374 |
distilbert-base-uncased:
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| 375 |
link: https://huggingface.co/distilbert-base-uncased
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| 376 |
seq_len: 512
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@@ -379,6 +567,7 @@ model_meta:
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is_external: false
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| 380 |
is_proprietary: false
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| 381 |
is_sentence_transformers_compatible: true
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| 382 |
distiluse-base-multilingual-cased-v2:
|
| 383 |
link: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2
|
| 384 |
seq_len: 512
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@@ -387,6 +576,25 @@ model_meta:
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is_external: true
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is_proprietary: false
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is_sentence_transformers_compatible: true
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| 390 |
e5-base-4k:
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| 391 |
link: https://huggingface.co/dwzhu/e5-base-4k
|
| 392 |
seq_len: 512
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@@ -395,6 +603,7 @@ model_meta:
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| 395 |
is_external: true
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| 396 |
is_proprietary: false
|
| 397 |
is_sentence_transformers_compatible: true
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| 398 |
e5-base-v2:
|
| 399 |
link: https://huggingface.co/intfloat/e5-base-v2
|
| 400 |
seq_len: 512
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@@ -403,6 +612,7 @@ model_meta:
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| 403 |
is_external: true
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| 404 |
is_proprietary: false
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| 405 |
is_sentence_transformers_compatible: true
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| 406 |
e5-base:
|
| 407 |
link: https://huggingface.co/intfloat/e5-base
|
| 408 |
seq_len: 512
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@@ -411,6 +621,7 @@ model_meta:
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| 411 |
is_external: true
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| 412 |
is_proprietary: false
|
| 413 |
is_sentence_transformers_compatible: true
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|
| 414 |
e5-large-v2:
|
| 415 |
link: https://huggingface.co/intfloat/e5-large-v2
|
| 416 |
seq_len: 512
|
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@@ -419,6 +630,7 @@ model_meta:
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| 419 |
is_external: true
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| 420 |
is_proprietary: false
|
| 421 |
is_sentence_transformers_compatible: true
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|
| 422 |
e5-large:
|
| 423 |
link: https://huggingface.co/intfloat/e5-large
|
| 424 |
seq_len: 512
|
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@@ -427,6 +639,7 @@ model_meta:
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| 427 |
is_external: true
|
| 428 |
is_proprietary: false
|
| 429 |
is_sentence_transformers_compatible: true
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|
| 430 |
e5-mistral-7b-instruct:
|
| 431 |
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct
|
| 432 |
seq_len: 32768
|
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@@ -435,6 +648,16 @@ model_meta:
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| 435 |
is_external: true
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| 436 |
is_proprietary: false
|
| 437 |
is_sentence_transformers_compatible: true
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| 438 |
e5-small:
|
| 439 |
link: https://huggingface.co/intfloat/e5-small
|
| 440 |
seq_len: 512
|
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@@ -443,6 +666,7 @@ model_meta:
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| 443 |
is_external: true
|
| 444 |
is_proprietary: false
|
| 445 |
is_sentence_transformers_compatible: true
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|
| 446 |
electra-small-nordic:
|
| 447 |
link: https://huggingface.co/jonfd/electra-small-nordic
|
| 448 |
seq_len: 512
|
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@@ -451,6 +675,7 @@ model_meta:
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| 451 |
is_external: true
|
| 452 |
is_proprietary: false
|
| 453 |
is_sentence_transformers_compatible: true
|
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|
| 454 |
electra-small-swedish-cased-discriminator:
|
| 455 |
link: https://huggingface.co/KBLab/electra-small-swedish-cased-discriminator
|
| 456 |
seq_len: 512
|
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@@ -459,6 +684,7 @@ model_meta:
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|
| 459 |
is_external: true
|
| 460 |
is_proprietary: false
|
| 461 |
is_sentence_transformers_compatible: true
|
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|
| 462 |
elser-v2:
|
| 463 |
link: https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html
|
| 464 |
seq_len: 512
|
|
@@ -467,6 +693,7 @@ model_meta:
|
|
| 467 |
is_external: true
|
| 468 |
is_proprietary: false
|
| 469 |
is_sentence_transformers_compatible: false
|
|
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|
| 470 |
flan-t5-base:
|
| 471 |
link: https://huggingface.co/google/flan-t5-base
|
| 472 |
seq_len: 512
|
|
@@ -475,6 +702,7 @@ model_meta:
|
|
| 475 |
is_external: true
|
| 476 |
is_proprietary: false
|
| 477 |
is_sentence_transformers_compatible: true
|
|
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|
| 478 |
flan-t5-large:
|
| 479 |
link: https://huggingface.co/google/flan-t5-large
|
| 480 |
seq_len: 512
|
|
@@ -483,6 +711,7 @@ model_meta:
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|
| 483 |
is_external: true
|
| 484 |
is_proprietary: false
|
| 485 |
is_sentence_transformers_compatible: true
|
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|
| 486 |
flaubert_base_cased:
|
| 487 |
link: https://huggingface.co/flaubert/flaubert_base_cased
|
| 488 |
seq_len: 512
|
|
@@ -491,6 +720,7 @@ model_meta:
|
|
| 491 |
is_external: true
|
| 492 |
is_proprietary: false
|
| 493 |
is_sentence_transformers_compatible: true
|
|
|
|
| 494 |
flaubert_base_uncased:
|
| 495 |
link: https://huggingface.co/flaubert/flaubert_base_uncased
|
| 496 |
seq_len: 512
|
|
@@ -499,6 +729,7 @@ model_meta:
|
|
| 499 |
is_external: true
|
| 500 |
is_proprietary: false
|
| 501 |
is_sentence_transformers_compatible: true
|
|
|
|
| 502 |
flaubert_large_cased:
|
| 503 |
link: https://huggingface.co/flaubert/flaubert_large_cased
|
| 504 |
seq_len: 512
|
|
@@ -507,6 +738,7 @@ model_meta:
|
|
| 507 |
is_external: true
|
| 508 |
is_proprietary: false
|
| 509 |
is_sentence_transformers_compatible: true
|
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|
| 510 |
gbert-base:
|
| 511 |
link: https://huggingface.co/deepset/gbert-base
|
| 512 |
seq_len: 512
|
|
@@ -515,6 +747,7 @@ model_meta:
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|
| 515 |
is_external: true
|
| 516 |
is_proprietary: false
|
| 517 |
is_sentence_transformers_compatible: true
|
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|
| 518 |
gbert-large:
|
| 519 |
link: https://huggingface.co/deepset/gbert-large
|
| 520 |
seq_len: 512
|
|
@@ -523,6 +756,7 @@ model_meta:
|
|
| 523 |
is_external: true
|
| 524 |
is_proprietary: false
|
| 525 |
is_sentence_transformers_compatible: true
|
|
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|
| 526 |
gelectra-base:
|
| 527 |
link: https://huggingface.co/deepset/gelectra-base
|
| 528 |
seq_len: 512
|
|
@@ -531,6 +765,7 @@ model_meta:
|
|
| 531 |
is_external: true
|
| 532 |
is_proprietary: false
|
| 533 |
is_sentence_transformers_compatible: true
|
|
|
|
| 534 |
gelectra-large:
|
| 535 |
link: https://huggingface.co/deepset/gelectra-large
|
| 536 |
seq_len: 512
|
|
@@ -539,6 +774,7 @@ model_meta:
|
|
| 539 |
is_external: true
|
| 540 |
is_proprietary: false
|
| 541 |
is_sentence_transformers_compatible: true
|
|
|
|
| 542 |
glove.6B.300d:
|
| 543 |
link: https://huggingface.co/sentence-transformers/average_word_embeddings_glove.6B.300d
|
| 544 |
seq_len: N/A
|
|
@@ -547,6 +783,7 @@ model_meta:
|
|
| 547 |
is_external: true
|
| 548 |
is_proprietary: false
|
| 549 |
is_sentence_transformers_compatible: true
|
|
|
|
| 550 |
google-gecko-256.text-embedding-preview-0409:
|
| 551 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
| 552 |
seq_len: 2048
|
|
@@ -555,6 +792,7 @@ model_meta:
|
|
| 555 |
is_external: true
|
| 556 |
is_proprietary: true
|
| 557 |
is_sentence_transformers_compatible: false
|
|
|
|
| 558 |
google-gecko.text-embedding-preview-0409:
|
| 559 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
| 560 |
seq_len: 2048
|
|
@@ -563,6 +801,7 @@ model_meta:
|
|
| 563 |
is_external: true
|
| 564 |
is_proprietary: true
|
| 565 |
is_sentence_transformers_compatible: false
|
|
|
|
| 566 |
gottbert-base:
|
| 567 |
link: https://huggingface.co/uklfr/gottbert-base
|
| 568 |
seq_len: 512
|
|
@@ -571,6 +810,7 @@ model_meta:
|
|
| 571 |
is_external: true
|
| 572 |
is_proprietary: false
|
| 573 |
is_sentence_transformers_compatible: true
|
|
|
|
| 574 |
gte-Qwen1.5-7B-instruct:
|
| 575 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct
|
| 576 |
seq_len: 32768
|
|
@@ -579,6 +819,7 @@ model_meta:
|
|
| 579 |
is_external: true
|
| 580 |
is_proprietary: false
|
| 581 |
is_sentence_transformers_compatible: true
|
|
|
|
| 582 |
gte-Qwen2-7B-instruct:
|
| 583 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct
|
| 584 |
seq_len: 32768
|
|
@@ -587,6 +828,7 @@ model_meta:
|
|
| 587 |
is_external: true
|
| 588 |
is_proprietary: false
|
| 589 |
is_sentence_transformers_compatible: true
|
|
|
|
| 590 |
gtr-t5-base:
|
| 591 |
link: https://huggingface.co/sentence-transformers/gtr-t5-base
|
| 592 |
seq_len: 512
|
|
@@ -595,6 +837,7 @@ model_meta:
|
|
| 595 |
is_external: true
|
| 596 |
is_proprietary: false
|
| 597 |
is_sentence_transformers_compatible: true
|
|
|
|
| 598 |
gtr-t5-large:
|
| 599 |
link: https://huggingface.co/sentence-transformers/gtr-t5-large
|
| 600 |
seq_len: 512
|
|
@@ -603,6 +846,7 @@ model_meta:
|
|
| 603 |
is_external: true
|
| 604 |
is_proprietary: false
|
| 605 |
is_sentence_transformers_compatible: true
|
|
|
|
| 606 |
gtr-t5-xl:
|
| 607 |
link: https://huggingface.co/sentence-transformers/gtr-t5-xl
|
| 608 |
seq_len: 512
|
|
@@ -611,6 +855,7 @@ model_meta:
|
|
| 611 |
is_external: true
|
| 612 |
is_proprietary: false
|
| 613 |
is_sentence_transformers_compatible: true
|
|
|
|
| 614 |
gtr-t5-xxl:
|
| 615 |
link: https://huggingface.co/sentence-transformers/gtr-t5-xxl
|
| 616 |
seq_len: 512
|
|
@@ -619,6 +864,7 @@ model_meta:
|
|
| 619 |
is_external: true
|
| 620 |
is_proprietary: false
|
| 621 |
is_sentence_transformers_compatible: true
|
|
|
|
| 622 |
herbert-base-retrieval-v2:
|
| 623 |
link: https://huggingface.co/ipipan/herbert-base-retrieval-v2
|
| 624 |
seq_len: 514
|
|
@@ -627,6 +873,7 @@ model_meta:
|
|
| 627 |
is_external: true
|
| 628 |
is_proprietary: false
|
| 629 |
is_sentence_transformers_compatible: true
|
|
|
|
| 630 |
instructor-base:
|
| 631 |
link: https://huggingface.co/hkunlp/instructor-base
|
| 632 |
seq_len: N/A
|
|
@@ -635,6 +882,7 @@ model_meta:
|
|
| 635 |
is_external: true
|
| 636 |
is_proprietary: false
|
| 637 |
is_sentence_transformers_compatible: true
|
|
|
|
| 638 |
instructor-large:
|
| 639 |
link: https://huggingface.co/hkunlp/instructor-large
|
| 640 |
seq_len: 512
|
|
@@ -643,6 +891,7 @@ model_meta:
|
|
| 643 |
is_external: true
|
| 644 |
is_proprietary: false
|
| 645 |
is_sentence_transformers_compatible: true
|
|
|
|
| 646 |
instructor-xl:
|
| 647 |
link: https://huggingface.co/hkunlp/instructor-xl
|
| 648 |
seq_len: 512
|
|
@@ -651,6 +900,7 @@ model_meta:
|
|
| 651 |
is_external: true
|
| 652 |
is_proprietary: false
|
| 653 |
is_sentence_transformers_compatible: true
|
|
|
|
| 654 |
jina-embeddings-v2-base-en:
|
| 655 |
link: https://huggingface.co/jinaai/jina-embeddings-v2-base-en
|
| 656 |
seq_len: 8192
|
|
@@ -659,6 +909,7 @@ model_meta:
|
|
| 659 |
is_external: true
|
| 660 |
is_proprietary: false
|
| 661 |
is_sentence_transformers_compatible: true
|
|
|
|
| 662 |
komninos:
|
| 663 |
link: https://huggingface.co/sentence-transformers/average_word_embeddings_komninos
|
| 664 |
seq_len: N/A
|
|
@@ -667,6 +918,7 @@ model_meta:
|
|
| 667 |
is_external: true
|
| 668 |
is_proprietary: false
|
| 669 |
is_sentence_transformers_compatible: true
|
|
|
|
| 670 |
llama-2-7b-chat:
|
| 671 |
link: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf
|
| 672 |
seq_len: 4096
|
|
@@ -675,6 +927,7 @@ model_meta:
|
|
| 675 |
is_external: true
|
| 676 |
is_proprietary: false
|
| 677 |
is_sentence_transformers_compatible: false
|
|
|
|
| 678 |
luotuo-bert-medium:
|
| 679 |
link: https://huggingface.co/silk-road/luotuo-bert-medium
|
| 680 |
seq_len: 512
|
|
@@ -683,6 +936,7 @@ model_meta:
|
|
| 683 |
is_external: true
|
| 684 |
is_proprietary: false
|
| 685 |
is_sentence_transformers_compatible: true
|
|
|
|
| 686 |
m3e-base:
|
| 687 |
link: https://huggingface.co/moka-ai/m3e-base
|
| 688 |
seq_len: 512
|
|
@@ -691,6 +945,7 @@ model_meta:
|
|
| 691 |
is_external: true
|
| 692 |
is_proprietary: false
|
| 693 |
is_sentence_transformers_compatible: true
|
|
|
|
| 694 |
m3e-large:
|
| 695 |
link: https://huggingface.co/moka-ai/m3e-large
|
| 696 |
seq_len: 512
|
|
@@ -699,6 +954,7 @@ model_meta:
|
|
| 699 |
is_external: true
|
| 700 |
is_proprietary: false
|
| 701 |
is_sentence_transformers_compatible: true
|
|
|
|
| 702 |
mistral-7b-instruct-v0.2:
|
| 703 |
link: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2
|
| 704 |
seq_len: 4096
|
|
@@ -707,6 +963,7 @@ model_meta:
|
|
| 707 |
is_external: true
|
| 708 |
is_proprietary: false
|
| 709 |
is_sentence_transformers_compatible: false
|
|
|
|
| 710 |
mistral-embed:
|
| 711 |
link: https://docs.mistral.ai/guides/embeddings
|
| 712 |
seq_len: null
|
|
@@ -715,6 +972,7 @@ model_meta:
|
|
| 715 |
is_external: true
|
| 716 |
is_proprietary: true
|
| 717 |
is_sentence_transformers_compatible: false
|
|
|
|
| 718 |
monobert-large-msmarco:
|
| 719 |
link: https://huggingface.co/castorini/monobert-large-msmarco
|
| 720 |
seq_len: 512
|
|
@@ -723,6 +981,7 @@ model_meta:
|
|
| 723 |
is_external: true
|
| 724 |
is_proprietary: false
|
| 725 |
is_sentence_transformers_compatible: false
|
|
|
|
| 726 |
monot5-3b-msmarco-10k:
|
| 727 |
link: https://huggingface.co/castorini/monot5-3b-msmarco-10k
|
| 728 |
seq_len: 512
|
|
@@ -731,6 +990,7 @@ model_meta:
|
|
| 731 |
is_external: true
|
| 732 |
is_proprietary: false
|
| 733 |
is_sentence_transformers_compatible: false
|
|
|
|
| 734 |
monot5-base-msmarco-10k:
|
| 735 |
link: https://huggingface.co/castorini/monot5-base-msmarco-10k
|
| 736 |
seq_len: 512
|
|
@@ -739,6 +999,7 @@ model_meta:
|
|
| 739 |
is_external: true
|
| 740 |
is_proprietary: false
|
| 741 |
is_sentence_transformers_compatible: false
|
|
|
|
| 742 |
msmarco-bert-co-condensor:
|
| 743 |
link: https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor
|
| 744 |
seq_len: 512
|
|
@@ -747,6 +1008,7 @@ model_meta:
|
|
| 747 |
is_external: true
|
| 748 |
is_proprietary: false
|
| 749 |
is_sentence_transformers_compatible: true
|
|
|
|
| 750 |
multi-qa-MiniLM-L6-cos-v1:
|
| 751 |
link: https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1
|
| 752 |
seq_len: 512
|
|
@@ -755,6 +1017,7 @@ model_meta:
|
|
| 755 |
is_external: true
|
| 756 |
is_proprietary: false
|
| 757 |
is_sentence_transformers_compatible: true
|
|
|
|
| 758 |
multilingual-e5-base:
|
| 759 |
link: https://huggingface.co/intfloat/multilingual-e5-base
|
| 760 |
seq_len: 514
|
|
@@ -763,6 +1026,7 @@ model_meta:
|
|
| 763 |
is_external: true
|
| 764 |
is_proprietary: false
|
| 765 |
is_sentence_transformers_compatible: true
|
|
|
|
| 766 |
multilingual-e5-large:
|
| 767 |
link: https://huggingface.co/intfloat/multilingual-e5-large
|
| 768 |
seq_len: 514
|
|
@@ -771,6 +1035,7 @@ model_meta:
|
|
| 771 |
is_external: true
|
| 772 |
is_proprietary: false
|
| 773 |
is_sentence_transformers_compatible: true
|
|
|
|
| 774 |
multilingual-e5-small:
|
| 775 |
link: https://huggingface.co/intfloat/multilingual-e5-small
|
| 776 |
seq_len: 512
|
|
@@ -779,6 +1044,7 @@ model_meta:
|
|
| 779 |
is_external: true
|
| 780 |
is_proprietary: false
|
| 781 |
is_sentence_transformers_compatible: true
|
|
|
|
| 782 |
nb-bert-base:
|
| 783 |
link: https://huggingface.co/NbAiLab/nb-bert-base
|
| 784 |
seq_len: 512
|
|
@@ -787,6 +1053,7 @@ model_meta:
|
|
| 787 |
is_external: true
|
| 788 |
is_proprietary: false
|
| 789 |
is_sentence_transformers_compatible: true
|
|
|
|
| 790 |
nb-bert-large:
|
| 791 |
link: https://huggingface.co/NbAiLab/nb-bert-large
|
| 792 |
seq_len: 512
|
|
@@ -795,6 +1062,7 @@ model_meta:
|
|
| 795 |
is_external: true
|
| 796 |
is_proprietary: false
|
| 797 |
is_sentence_transformers_compatible: true
|
|
|
|
| 798 |
nomic-embed-text-v1:
|
| 799 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1
|
| 800 |
seq_len: 8192
|
|
@@ -803,6 +1071,7 @@ model_meta:
|
|
| 803 |
is_external: true
|
| 804 |
is_proprietary: false
|
| 805 |
is_sentence_transformers_compatible: true
|
|
|
|
| 806 |
nomic-embed-text-v1.5-128:
|
| 807 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 808 |
seq_len: 8192
|
|
@@ -811,6 +1080,7 @@ model_meta:
|
|
| 811 |
is_external: true
|
| 812 |
is_proprietary: false
|
| 813 |
is_sentence_transformers_compatible: true
|
|
|
|
| 814 |
nomic-embed-text-v1.5-256:
|
| 815 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 816 |
seq_len: 8192
|
|
@@ -819,6 +1089,7 @@ model_meta:
|
|
| 819 |
is_external: true
|
| 820 |
is_proprietary: false
|
| 821 |
is_sentence_transformers_compatible: true
|
|
|
|
| 822 |
nomic-embed-text-v1.5-512:
|
| 823 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 824 |
seq_len: 8192
|
|
@@ -827,6 +1098,7 @@ model_meta:
|
|
| 827 |
is_external: true
|
| 828 |
is_proprietary: false
|
| 829 |
is_sentence_transformers_compatible: true
|
|
|
|
| 830 |
nomic-embed-text-v1.5-64:
|
| 831 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 832 |
seq_len: 8192
|
|
@@ -835,6 +1107,7 @@ model_meta:
|
|
| 835 |
is_external: true
|
| 836 |
is_proprietary: false
|
| 837 |
is_sentence_transformers_compatible: true
|
|
|
|
| 838 |
norbert3-base:
|
| 839 |
link: https://huggingface.co/ltg/norbert3-base
|
| 840 |
seq_len: 512
|
|
@@ -843,6 +1116,7 @@ model_meta:
|
|
| 843 |
is_external: true
|
| 844 |
is_proprietary: false
|
| 845 |
is_sentence_transformers_compatible: true
|
|
|
|
| 846 |
norbert3-large:
|
| 847 |
link: https://huggingface.co/ltg/norbert3-large
|
| 848 |
seq_len: 512
|
|
@@ -851,6 +1125,7 @@ model_meta:
|
|
| 851 |
is_external: true
|
| 852 |
is_proprietary: false
|
| 853 |
is_sentence_transformers_compatible: true
|
|
|
|
| 854 |
paraphrase-multilingual-MiniLM-L12-v2:
|
| 855 |
link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
| 856 |
seq_len: 512
|
|
@@ -859,6 +1134,7 @@ model_meta:
|
|
| 859 |
is_external: true
|
| 860 |
is_proprietary: false
|
| 861 |
is_sentence_transformers_compatible: true
|
|
|
|
| 862 |
paraphrase-multilingual-mpnet-base-v2:
|
| 863 |
link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
|
| 864 |
seq_len: 514
|
|
@@ -867,6 +1143,7 @@ model_meta:
|
|
| 867 |
is_external: true
|
| 868 |
is_proprietary: false
|
| 869 |
is_sentence_transformers_compatible: true
|
|
|
|
| 870 |
sentence-bert-swedish-cased:
|
| 871 |
link: https://huggingface.co/KBLab/sentence-bert-swedish-cased
|
| 872 |
seq_len: 512
|
|
@@ -875,6 +1152,7 @@ model_meta:
|
|
| 875 |
is_external: true
|
| 876 |
is_proprietary: false
|
| 877 |
is_sentence_transformers_compatible: true
|
|
|
|
| 878 |
sentence-camembert-base:
|
| 879 |
link: https://huggingface.co/dangvantuan/sentence-camembert-base
|
| 880 |
seq_len: 512
|
|
@@ -883,6 +1161,7 @@ model_meta:
|
|
| 883 |
is_external: true
|
| 884 |
is_proprietary: false
|
| 885 |
is_sentence_transformers_compatible: true
|
|
|
|
| 886 |
sentence-camembert-large:
|
| 887 |
link: https://huggingface.co/dangvantuan/sentence-camembert-large
|
| 888 |
seq_len: 512
|
|
@@ -891,6 +1170,7 @@ model_meta:
|
|
| 891 |
is_external: true
|
| 892 |
is_proprietary: false
|
| 893 |
is_sentence_transformers_compatible: true
|
|
|
|
| 894 |
sentence-croissant-llm-base:
|
| 895 |
link: https://huggingface.co/Wissam42/sentence-croissant-llm-base
|
| 896 |
seq_len: 2048
|
|
@@ -899,6 +1179,7 @@ model_meta:
|
|
| 899 |
is_external: true
|
| 900 |
is_proprietary: false
|
| 901 |
is_sentence_transformers_compatible: true
|
|
|
|
| 902 |
sentence-t5-base:
|
| 903 |
link: https://huggingface.co/sentence-transformers/sentence-t5-base
|
| 904 |
seq_len: 512
|
|
@@ -907,6 +1188,7 @@ model_meta:
|
|
| 907 |
is_external: true
|
| 908 |
is_proprietary: false
|
| 909 |
is_sentence_transformers_compatible: true
|
|
|
|
| 910 |
sentence-t5-large:
|
| 911 |
link: https://huggingface.co/sentence-transformers/sentence-t5-large
|
| 912 |
seq_len: 512
|
|
@@ -915,6 +1197,7 @@ model_meta:
|
|
| 915 |
is_external: true
|
| 916 |
is_proprietary: false
|
| 917 |
is_sentence_transformers_compatible: true
|
|
|
|
| 918 |
sentence-t5-xl:
|
| 919 |
link: https://huggingface.co/sentence-transformers/sentence-t5-xl
|
| 920 |
seq_len: 512
|
|
@@ -923,6 +1206,7 @@ model_meta:
|
|
| 923 |
is_external: true
|
| 924 |
is_proprietary: false
|
| 925 |
is_sentence_transformers_compatible: true
|
|
|
|
| 926 |
sentence-t5-xxl:
|
| 927 |
link: https://huggingface.co/sentence-transformers/sentence-t5-xxl
|
| 928 |
seq_len: 512
|
|
@@ -931,6 +1215,7 @@ model_meta:
|
|
| 931 |
is_external: true
|
| 932 |
is_proprietary: false
|
| 933 |
is_sentence_transformers_compatible: true
|
|
|
|
| 934 |
silver-retriever-base-v1:
|
| 935 |
link: https://huggingface.co/ipipan/silver-retriever-base-v1
|
| 936 |
seq_len: 514
|
|
@@ -939,6 +1224,7 @@ model_meta:
|
|
| 939 |
is_external: true
|
| 940 |
is_proprietary: false
|
| 941 |
is_sentence_transformers_compatible: true
|
|
|
|
| 942 |
st-polish-paraphrase-from-distilroberta:
|
| 943 |
link: https://huggingface.co/sdadas/st-polish-paraphrase-from-distilroberta
|
| 944 |
seq_len: 514
|
|
@@ -947,6 +1233,7 @@ model_meta:
|
|
| 947 |
is_external: true
|
| 948 |
is_proprietary: false
|
| 949 |
is_sentence_transformers_compatible: true
|
|
|
|
| 950 |
st-polish-paraphrase-from-mpnet:
|
| 951 |
link: https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet
|
| 952 |
seq_len: 514
|
|
@@ -955,6 +1242,7 @@ model_meta:
|
|
| 955 |
is_external: true
|
| 956 |
is_proprietary: false
|
| 957 |
is_sentence_transformers_compatible: true
|
|
|
|
| 958 |
sup-simcse-bert-base-uncased:
|
| 959 |
link: https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased
|
| 960 |
seq_len: 512
|
|
@@ -963,6 +1251,7 @@ model_meta:
|
|
| 963 |
is_external: true
|
| 964 |
is_proprietary: false
|
| 965 |
is_sentence_transformers_compatible: true
|
|
|
|
| 966 |
text-embedding-3-large:
|
| 967 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
| 968 |
seq_len: 8191
|
|
@@ -971,6 +1260,16 @@ model_meta:
|
|
| 971 |
is_external: true
|
| 972 |
is_proprietary: true
|
| 973 |
is_sentence_transformers_compatible: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 974 |
text-embedding-3-large-256:
|
| 975 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
| 976 |
seq_len: 8191
|
|
@@ -979,6 +1278,7 @@ model_meta:
|
|
| 979 |
is_external: true
|
| 980 |
is_proprietary: true
|
| 981 |
is_sentence_transformers_compatible: false
|
|
|
|
| 982 |
text-embedding-3-small:
|
| 983 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
| 984 |
seq_len: 8191
|
|
@@ -987,6 +1287,16 @@ model_meta:
|
|
| 987 |
is_external: true
|
| 988 |
is_proprietary: true
|
| 989 |
is_sentence_transformers_compatible: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 990 |
text-embedding-ada-002:
|
| 991 |
link: https://openai.com/blog/new-and-improved-embedding-model
|
| 992 |
seq_len: 8191
|
|
@@ -995,6 +1305,16 @@ model_meta:
|
|
| 995 |
is_external: true
|
| 996 |
is_proprietary: true
|
| 997 |
is_sentence_transformers_compatible: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 998 |
text-search-ada-001:
|
| 999 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1000 |
seq_len: 2046
|
|
@@ -1003,6 +1323,7 @@ model_meta:
|
|
| 1003 |
is_external: true
|
| 1004 |
is_proprietary: true
|
| 1005 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1006 |
text-search-ada-doc-001:
|
| 1007 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1008 |
seq_len: 2046
|
|
@@ -1011,6 +1332,7 @@ model_meta:
|
|
| 1011 |
is_external: true
|
| 1012 |
is_proprietary: true
|
| 1013 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1014 |
text-search-ada-query-001:
|
| 1015 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1016 |
seq_len: 2046
|
|
@@ -1019,6 +1341,7 @@ model_meta:
|
|
| 1019 |
is_external: false
|
| 1020 |
is_proprietary: true
|
| 1021 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1022 |
text-search-babbage-001:
|
| 1023 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1024 |
seq_len: 2046
|
|
@@ -1027,6 +1350,7 @@ model_meta:
|
|
| 1027 |
is_external: true
|
| 1028 |
is_proprietary: true
|
| 1029 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1030 |
text-search-curie-001:
|
| 1031 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1032 |
seq_len: 2046
|
|
@@ -1035,6 +1359,7 @@ model_meta:
|
|
| 1035 |
is_external: true
|
| 1036 |
is_proprietary: true
|
| 1037 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1038 |
text-search-davinci-001:
|
| 1039 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1040 |
seq_len: 2046
|
|
@@ -1043,6 +1368,7 @@ model_meta:
|
|
| 1043 |
is_external: true
|
| 1044 |
is_proprietary: true
|
| 1045 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1046 |
text-similarity-ada-001:
|
| 1047 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1048 |
seq_len: 2046
|
|
@@ -1051,6 +1377,7 @@ model_meta:
|
|
| 1051 |
is_external: true
|
| 1052 |
is_proprietary: true
|
| 1053 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1054 |
text-similarity-babbage-001:
|
| 1055 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1056 |
seq_len: 2046
|
|
@@ -1059,6 +1386,7 @@ model_meta:
|
|
| 1059 |
is_external: true
|
| 1060 |
is_proprietary: true
|
| 1061 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1062 |
text-similarity-curie-001:
|
| 1063 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1064 |
seq_len: 2046
|
|
@@ -1067,6 +1395,7 @@ model_meta:
|
|
| 1067 |
is_external: true
|
| 1068 |
is_proprietary: true
|
| 1069 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1070 |
text-similarity-davinci-001:
|
| 1071 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1072 |
seq_len: 2046
|
|
@@ -1075,6 +1404,7 @@ model_meta:
|
|
| 1075 |
is_external: true
|
| 1076 |
is_proprietary: true
|
| 1077 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1078 |
tart-dual-contriever-msmarco:
|
| 1079 |
link: https://huggingface.co/orionweller/tart-dual-contriever-msmarco
|
| 1080 |
seq_len: 512
|
|
@@ -1083,6 +1413,7 @@ model_meta:
|
|
| 1083 |
is_external: true
|
| 1084 |
is_proprietary: false
|
| 1085 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1086 |
tart-full-flan-t5-xl:
|
| 1087 |
link: https://huggingface.co/facebook/tart-full-flan-t5-xl
|
| 1088 |
seq_len: 512
|
|
@@ -1091,6 +1422,7 @@ model_meta:
|
|
| 1091 |
is_external: true
|
| 1092 |
is_proprietary: false
|
| 1093 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1094 |
text2vec-base-chinese:
|
| 1095 |
link: https://huggingface.co/shibing624/text2vec-base-chinese
|
| 1096 |
seq_len: 512
|
|
@@ -1099,6 +1431,7 @@ model_meta:
|
|
| 1099 |
is_external: true
|
| 1100 |
is_proprietary: false
|
| 1101 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1102 |
text2vec-base-multilingual:
|
| 1103 |
link: null
|
| 1104 |
seq_len: null
|
|
@@ -1107,6 +1440,7 @@ model_meta:
|
|
| 1107 |
is_external: true
|
| 1108 |
is_proprietary: false
|
| 1109 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1110 |
text2vec-large-chinese:
|
| 1111 |
link: https://huggingface.co/GanymedeNil/text2vec-large-chinese
|
| 1112 |
seq_len: 512
|
|
@@ -1115,6 +1449,7 @@ model_meta:
|
|
| 1115 |
is_external: true
|
| 1116 |
is_proprietary: false
|
| 1117 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1118 |
titan-embed-text-v1:
|
| 1119 |
link: https://docs.aws.amazon.com/bedrock/latest/userguide/embeddings.html
|
| 1120 |
seq_len: 8000
|
|
@@ -1123,6 +1458,7 @@ model_meta:
|
|
| 1123 |
is_external: true
|
| 1124 |
is_proprietary: true
|
| 1125 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1126 |
udever-bloom-1b1:
|
| 1127 |
link: https://huggingface.co/izhx/udever-bloom-1b1
|
| 1128 |
seq_len: 2048
|
|
@@ -1131,6 +1467,7 @@ model_meta:
|
|
| 1131 |
is_external: true
|
| 1132 |
is_proprietary: false
|
| 1133 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1134 |
udever-bloom-560m:
|
| 1135 |
link: https://huggingface.co/izhx/udever-bloom-560m
|
| 1136 |
seq_len: 2048
|
|
@@ -1139,6 +1476,7 @@ model_meta:
|
|
| 1139 |
is_external: true
|
| 1140 |
is_proprietary: false
|
| 1141 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1142 |
universal-sentence-encoder-multilingual-3:
|
| 1143 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-3
|
| 1144 |
seq_len: 512
|
|
@@ -1147,6 +1485,7 @@ model_meta:
|
|
| 1147 |
is_external: true
|
| 1148 |
is_proprietary: false
|
| 1149 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1150 |
universal-sentence-encoder-multilingual-large-3:
|
| 1151 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-large-3
|
| 1152 |
seq_len: 512
|
|
@@ -1155,6 +1494,7 @@ model_meta:
|
|
| 1155 |
is_external: true
|
| 1156 |
is_proprietary: false
|
| 1157 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1158 |
unsup-simcse-bert-base-uncased:
|
| 1159 |
link: https://huggingface.co/princeton-nlp/unsup-simcse-bert-base-uncased
|
| 1160 |
seq_len: 512
|
|
@@ -1163,6 +1503,7 @@ model_meta:
|
|
| 1163 |
is_external: true
|
| 1164 |
is_proprietary: false
|
| 1165 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1166 |
use-cmlm-multilingual:
|
| 1167 |
link: https://huggingface.co/sentence-transformers/use-cmlm-multilingual
|
| 1168 |
seq_len: 512
|
|
@@ -1171,6 +1512,7 @@ model_meta:
|
|
| 1171 |
is_external: true
|
| 1172 |
is_proprietary: false
|
| 1173 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1174 |
voyage-2:
|
| 1175 |
link: https://docs.voyageai.com/embeddings/
|
| 1176 |
seq_len: 1024
|
|
@@ -1179,6 +1521,7 @@ model_meta:
|
|
| 1179 |
is_external: true
|
| 1180 |
is_proprietary: true
|
| 1181 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1182 |
voyage-code-2:
|
| 1183 |
link: https://docs.voyageai.com/embeddings/
|
| 1184 |
seq_len: 16000
|
|
@@ -1187,6 +1530,7 @@ model_meta:
|
|
| 1187 |
is_external: true
|
| 1188 |
is_proprietary: true
|
| 1189 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1190 |
voyage-large-2-instruct:
|
| 1191 |
link: https://docs.voyageai.com/embeddings/
|
| 1192 |
seq_len: 16000
|
|
@@ -1195,6 +1539,7 @@ model_meta:
|
|
| 1195 |
is_external: true
|
| 1196 |
is_proprietary: false
|
| 1197 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1198 |
voyage-law-2:
|
| 1199 |
link: https://docs.voyageai.com/embeddings/
|
| 1200 |
seq_len: 16000
|
|
@@ -1203,6 +1548,7 @@ model_meta:
|
|
| 1203 |
is_external: true
|
| 1204 |
is_proprietary: true
|
| 1205 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1206 |
voyage-lite-01-instruct:
|
| 1207 |
link: https://docs.voyageai.com/embeddings/
|
| 1208 |
seq_len: 4000
|
|
@@ -1211,6 +1557,7 @@ model_meta:
|
|
| 1211 |
is_external: true
|
| 1212 |
is_proprietary: true
|
| 1213 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1214 |
voyage-lite-02-instruct:
|
| 1215 |
link: https://docs.voyageai.com/embeddings/
|
| 1216 |
seq_len: 4000
|
|
@@ -1219,6 +1566,7 @@ model_meta:
|
|
| 1219 |
is_external: true
|
| 1220 |
is_proprietary: true
|
| 1221 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1222 |
voyage-multilingual-2:
|
| 1223 |
link: https://docs.voyageai.com/embeddings/
|
| 1224 |
seq_len: 32000
|
|
@@ -1227,6 +1575,7 @@ model_meta:
|
|
| 1227 |
is_external: true
|
| 1228 |
is_proprietary: true
|
| 1229 |
is_sentence_transformers_compatible: false
|
|
|
|
| 1230 |
xlm-roberta-base:
|
| 1231 |
link: https://huggingface.co/xlm-roberta-base
|
| 1232 |
seq_len: 514
|
|
@@ -1235,6 +1584,7 @@ model_meta:
|
|
| 1235 |
is_external: true
|
| 1236 |
is_proprietary: false
|
| 1237 |
is_sentence_transformers_compatible: true
|
|
|
|
| 1238 |
xlm-roberta-large:
|
| 1239 |
link: https://huggingface.co/xlm-roberta-large
|
| 1240 |
seq_len: 514
|
|
@@ -1243,30 +1593,7 @@ model_meta:
|
|
| 1243 |
is_external: true
|
| 1244 |
is_proprietary: false
|
| 1245 |
is_sentence_transformers_compatible: true
|
| 1246 |
-
|
| 1247 |
-
link: https://huggingface.co/nvidia/NV-Retriever-v1
|
| 1248 |
-
seq_len: 512
|
| 1249 |
-
size: 7111
|
| 1250 |
-
dim: 4096
|
| 1251 |
-
is_external: false
|
| 1252 |
-
is_proprietary: false
|
| 1253 |
-
is_sentence_transformers_compatible: false
|
| 1254 |
-
NV-Embed-v1:
|
| 1255 |
-
link: https://huggingface.co/nvidia/NV-Embed-v1
|
| 1256 |
-
seq_len: 32768
|
| 1257 |
-
size: 7851
|
| 1258 |
-
dim: 4096
|
| 1259 |
-
is_external: false
|
| 1260 |
-
is_proprietary: false
|
| 1261 |
-
is_sentence_transformers_compatible: false
|
| 1262 |
-
Linq-Embed-Mistral:
|
| 1263 |
-
link: https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral
|
| 1264 |
-
seq_len: 32768
|
| 1265 |
-
size: 7111
|
| 1266 |
-
dim: 4096
|
| 1267 |
-
is_external: false
|
| 1268 |
-
is_proprietary: false
|
| 1269 |
-
is_sentence_transformers_compatible: true
|
| 1270 |
models_to_skip:
|
| 1271 |
- michaelfeil/ct2fast-e5-large-v2
|
| 1272 |
- McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
|
|
|
|
| 7 |
is_external: true
|
| 8 |
is_proprietary: true
|
| 9 |
is_sentence_transformers_compatible: false
|
| 10 |
+
uses_instruct: false
|
| 11 |
Cohere-embed-english-v3.0:
|
| 12 |
link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
|
| 13 |
seq_len: 512
|
|
|
|
| 16 |
is_external: true
|
| 17 |
is_proprietary: true
|
| 18 |
is_sentence_transformers_compatible: false
|
| 19 |
+
uses_instruct: false
|
| 20 |
+
Cohere-embed-english-v3.0-instruct:
|
| 21 |
+
link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
|
| 22 |
+
seq_len: 512
|
| 23 |
+
size: null
|
| 24 |
+
dim: 1024
|
| 25 |
+
is_external: true
|
| 26 |
+
is_proprietary: true
|
| 27 |
+
is_sentence_transformers_compatible: false
|
| 28 |
+
uses_instruct: true
|
| 29 |
Cohere-embed-multilingual-light-v3.0:
|
| 30 |
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-light-v3.0
|
| 31 |
seq_len: 512
|
|
|
|
| 34 |
is_external: true
|
| 35 |
is_proprietary: true
|
| 36 |
is_sentence_transformers_compatible: false
|
| 37 |
+
uses_instruct: false
|
| 38 |
Cohere-embed-multilingual-v3.0:
|
| 39 |
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-v3.0
|
| 40 |
seq_len: 512
|
|
|
|
| 43 |
is_external: true
|
| 44 |
is_proprietary: true
|
| 45 |
is_sentence_transformers_compatible: false
|
| 46 |
+
uses_instruct: false
|
| 47 |
DanskBERT:
|
| 48 |
link: https://huggingface.co/vesteinn/DanskBERT
|
| 49 |
seq_len: 514
|
|
|
|
| 52 |
is_external: true
|
| 53 |
is_proprietary: false
|
| 54 |
is_sentence_transformers_compatible: true
|
| 55 |
+
uses_instruct: false
|
| 56 |
FollowIR-7B:
|
| 57 |
link: https://huggingface.co/jhu-clsp/FollowIR-7B
|
| 58 |
seq_len: 4096
|
|
|
|
| 60 |
is_external: true
|
| 61 |
is_propietary: false
|
| 62 |
is_sentence_transformer_compatible: false
|
| 63 |
+
uses_instruct: true
|
| 64 |
GritLM-7B:
|
| 65 |
link: https://huggingface.co/GritLM/GritLM-7B
|
| 66 |
seq_len: 4096
|
|
|
|
| 68 |
is_external: true
|
| 69 |
is_propietary: false
|
| 70 |
is_sentence_transformer_compatible: false
|
| 71 |
+
uses_instruct: true
|
| 72 |
+
GritLM-7B-noinstruct:
|
| 73 |
+
link: https://huggingface.co/GritLM/GritLM-7B
|
| 74 |
+
seq_len: 4096
|
| 75 |
+
size: 7240
|
| 76 |
+
is_external: true
|
| 77 |
+
is_propietary: false
|
| 78 |
+
is_sentence_transformer_compatible: false
|
| 79 |
+
uses_instruct: false
|
| 80 |
LASER2:
|
| 81 |
link: https://github.com/facebookresearch/LASER
|
| 82 |
seq_len: N/A
|
|
|
|
| 85 |
is_external: true
|
| 86 |
is_proprietary: false
|
| 87 |
is_sentence_transformers_compatible: false
|
| 88 |
+
uses_instruct: false
|
| 89 |
LLM2Vec-Llama-2-supervised:
|
| 90 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised
|
| 91 |
seq_len: 4096
|
|
|
|
| 94 |
is_external: true
|
| 95 |
is_proprietary: false
|
| 96 |
is_sentence_transformers_compatible: false
|
| 97 |
+
uses_instruct: true
|
| 98 |
LLM2Vec-Llama-2-unsupervised:
|
| 99 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse
|
| 100 |
seq_len: 4096
|
|
|
|
| 103 |
is_external: true
|
| 104 |
is_proprietary: false
|
| 105 |
is_sentence_transformers_compatible: false
|
| 106 |
+
uses_instruct: true
|
| 107 |
LLM2Vec-Meta-Llama-3-supervised:
|
| 108 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
|
| 109 |
seq_len: 8192
|
|
|
|
| 112 |
is_external: true
|
| 113 |
is_proprietary: false
|
| 114 |
is_sentence_transformers_compatible: false
|
| 115 |
+
uses_instruct: true
|
| 116 |
LLM2Vec-Meta-Llama-3-unsupervised:
|
| 117 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse
|
| 118 |
seq_len: 8192
|
|
|
|
| 121 |
is_external: true
|
| 122 |
is_proprietary: false
|
| 123 |
is_sentence_transformers_compatible: false
|
| 124 |
+
uses_instruct: true
|
| 125 |
LLM2Vec-Mistral-supervised:
|
| 126 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
|
| 127 |
seq_len: 32768
|
|
|
|
| 130 |
is_external: true
|
| 131 |
is_proprietary: false
|
| 132 |
is_sentence_transformers_compatible: false
|
| 133 |
+
uses_instruct: true
|
| 134 |
LLM2Vec-Mistral-unsupervised:
|
| 135 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
|
| 136 |
seq_len: 32768
|
|
|
|
| 139 |
is_external: true
|
| 140 |
is_proprietary: false
|
| 141 |
is_sentence_transformers_compatible: false
|
| 142 |
+
uses_instruct: true
|
| 143 |
LLM2Vec-Sheared-Llama-supervised:
|
| 144 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised
|
| 145 |
seq_len: 4096
|
|
|
|
| 148 |
is_external: true
|
| 149 |
is_proprietary: false
|
| 150 |
is_sentence_transformers_compatible: false
|
| 151 |
+
uses_instruct: true
|
| 152 |
LLM2Vec-Sheared-Llama-unsupervised:
|
| 153 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
|
| 154 |
seq_len: 4096
|
|
|
|
| 157 |
is_external: true
|
| 158 |
is_proprietary: false
|
| 159 |
is_sentence_transformers_compatible: false
|
| 160 |
+
uses_instruct: true
|
| 161 |
LaBSE:
|
| 162 |
link: https://huggingface.co/sentence-transformers/LaBSE
|
| 163 |
seq_len: 512
|
|
|
|
| 166 |
is_external: true
|
| 167 |
is_proprietary: false
|
| 168 |
is_sentence_transformers_compatible: true
|
| 169 |
+
uses_instruct: false
|
| 170 |
+
Linq-Embed-Mistral:
|
| 171 |
+
link: https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral
|
| 172 |
+
seq_len: 32768
|
| 173 |
+
size: 7111
|
| 174 |
+
dim: 4096
|
| 175 |
+
is_external: false
|
| 176 |
+
is_proprietary: false
|
| 177 |
+
is_sentence_transformers_compatible: true
|
| 178 |
+
uses_instruct: true
|
| 179 |
+
NV-Embed-v1:
|
| 180 |
+
link: https://huggingface.co/nvidia/NV-Embed-v1
|
| 181 |
+
seq_len: 32768
|
| 182 |
+
size: 7851
|
| 183 |
+
dim: 4096
|
| 184 |
+
is_external: false
|
| 185 |
+
is_proprietary: false
|
| 186 |
+
is_sentence_transformers_compatible: false
|
| 187 |
+
uses_instruct: true
|
| 188 |
+
NV-Retriever-v1:
|
| 189 |
+
link: https://huggingface.co/nvidia/NV-Retriever-v1
|
| 190 |
+
seq_len: 512
|
| 191 |
+
size: 7111
|
| 192 |
+
dim: 4096
|
| 193 |
+
is_external: false
|
| 194 |
+
is_proprietary: false
|
| 195 |
+
is_sentence_transformers_compatible: false
|
| 196 |
+
uses_instruct: true
|
| 197 |
OpenSearch-text-hybrid:
|
| 198 |
link: https://help.aliyun.com/zh/open-search/vector-search-edition/hybrid-retrieval
|
| 199 |
seq_len: 512
|
|
|
|
| 202 |
is_external: true
|
| 203 |
is_proprietary: true
|
| 204 |
is_sentence_transformers_compatible: false
|
| 205 |
+
uses_instruct: false
|
| 206 |
SFR-Embedding-Mistral:
|
| 207 |
link: https://huggingface.co/Salesforce/SFR-Embedding-Mistral
|
| 208 |
seq_len: 32768
|
|
|
|
| 211 |
is_external: true
|
| 212 |
is_proprietary: false
|
| 213 |
is_sentence_transformers_compatible: true
|
| 214 |
+
uses_instruct: true
|
| 215 |
all-MiniLM-L12-v2:
|
| 216 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2
|
| 217 |
seq_len: 512
|
|
|
|
| 220 |
is_external: true
|
| 221 |
is_proprietary: false
|
| 222 |
is_sentence_transformers_compatible: true
|
| 223 |
+
uses_instruct: false
|
| 224 |
all-MiniLM-L6-v2:
|
| 225 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
|
| 226 |
seq_len: 512
|
|
|
|
| 229 |
is_external: true
|
| 230 |
is_proprietary: false
|
| 231 |
is_sentence_transformers_compatible: true
|
| 232 |
+
uses_instruct: false
|
| 233 |
+
all-MiniLM-L6-v2-instruct:
|
| 234 |
+
link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
|
| 235 |
+
seq_len: 512
|
| 236 |
+
size: 23
|
| 237 |
+
dim: 384
|
| 238 |
+
is_external: true
|
| 239 |
+
is_proprietary: false
|
| 240 |
+
is_sentence_transformers_compatible: true
|
| 241 |
+
uses_instruct: true
|
| 242 |
all-mpnet-base-v2:
|
| 243 |
link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
|
| 244 |
seq_len: 514
|
|
|
|
| 247 |
is_external: true
|
| 248 |
is_proprietary: false
|
| 249 |
is_sentence_transformers_compatible: true
|
| 250 |
+
uses_instruct: false
|
| 251 |
+
all-mpnet-base-v2-instruct:
|
| 252 |
+
link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
|
| 253 |
+
seq_len: 514
|
| 254 |
+
size: 110
|
| 255 |
+
dim: 768
|
| 256 |
+
is_external: true
|
| 257 |
+
is_proprietary: false
|
| 258 |
+
is_sentence_transformers_compatible: true
|
| 259 |
+
uses_instruct: true
|
| 260 |
allenai-specter:
|
| 261 |
link: https://huggingface.co/sentence-transformers/allenai-specter
|
| 262 |
seq_len: 512
|
|
|
|
| 265 |
is_external: true
|
| 266 |
is_proprietary: false
|
| 267 |
is_sentence_transformers_compatible: true
|
| 268 |
+
uses_instruct: false
|
| 269 |
bert-base-10lang-cased:
|
| 270 |
link: https://huggingface.co/Geotrend/bert-base-10lang-cased
|
| 271 |
seq_len: 512
|
|
|
|
| 274 |
is_external: true
|
| 275 |
is_proprietary: false
|
| 276 |
is_sentence_transformers_compatible: true
|
| 277 |
+
uses_instruct: false
|
| 278 |
bert-base-15lang-cased:
|
| 279 |
link: https://huggingface.co/Geotrend/bert-base-15lang-cased
|
| 280 |
seq_len: 512
|
|
|
|
| 283 |
is_external: true
|
| 284 |
is_proprietary: false
|
| 285 |
is_sentence_transformers_compatible: true
|
| 286 |
+
uses_instruct: false
|
| 287 |
bert-base-25lang-cased:
|
| 288 |
link: https://huggingface.co/Geotrend/bert-base-25lang-cased
|
| 289 |
seq_len: 512
|
|
|
|
| 292 |
is_external: true
|
| 293 |
is_proprietary: false
|
| 294 |
is_sentence_transformers_compatible: true
|
| 295 |
+
uses_instruct: false
|
| 296 |
bert-base-multilingual-cased:
|
| 297 |
link: https://huggingface.co/google-bert/bert-base-multilingual-cased
|
| 298 |
seq_len: 512
|
|
|
|
| 301 |
is_external: true
|
| 302 |
is_proprietary: false
|
| 303 |
is_sentence_transformers_compatible: true
|
| 304 |
+
uses_instruct: false
|
| 305 |
bert-base-multilingual-uncased:
|
| 306 |
link: https://huggingface.co/google-bert/bert-base-multilingual-uncased
|
| 307 |
seq_len: 512
|
|
|
|
| 310 |
is_external: true
|
| 311 |
is_proprietary: false
|
| 312 |
is_sentence_transformers_compatible: true
|
| 313 |
+
uses_instruct: false
|
| 314 |
bert-base-swedish-cased:
|
| 315 |
link: https://huggingface.co/KB/bert-base-swedish-cased
|
| 316 |
seq_len: 512
|
|
|
|
| 319 |
is_external: true
|
| 320 |
is_proprietary: false
|
| 321 |
is_sentence_transformers_compatible: true
|
| 322 |
+
uses_instruct: false
|
| 323 |
bert-base-uncased:
|
| 324 |
link: https://huggingface.co/bert-base-uncased
|
| 325 |
seq_len: 512
|
|
|
|
| 328 |
is_external: true
|
| 329 |
is_proprietary: false
|
| 330 |
is_sentence_transformers_compatible: true
|
| 331 |
+
uses_instruct: false
|
| 332 |
+
bge-base-en-v1.5:
|
| 333 |
+
link: https://huggingface.co/BAAI/bge-base-en-v1.5
|
| 334 |
+
seq_len: 512
|
| 335 |
+
size: 438
|
| 336 |
+
dim: 768
|
| 337 |
+
is_external: true
|
| 338 |
+
is_proprietary: false
|
| 339 |
+
is_sentence_transformers_compatible: false
|
| 340 |
+
uses_instruct: false
|
| 341 |
+
bge-base-en-v1.5-instruct:
|
| 342 |
+
link: https://huggingface.co/BAAI/bge-base-en-v1.5
|
| 343 |
+
seq_len: 512
|
| 344 |
+
size: 438
|
| 345 |
+
dim: 768
|
| 346 |
+
is_external: true
|
| 347 |
+
is_proprietary: false
|
| 348 |
+
is_sentence_transformers_compatible: false
|
| 349 |
+
uses_instruct: true
|
| 350 |
bge-base-zh-v1.5:
|
| 351 |
link: https://huggingface.co/BAAI/bge-base-zh-v1.5
|
| 352 |
seq_len: 512
|
|
|
|
| 355 |
is_external: true
|
| 356 |
is_proprietary: false
|
| 357 |
is_sentence_transformers_compatible: true
|
| 358 |
+
uses_instruct: false
|
| 359 |
bge-large-en-v1.5:
|
| 360 |
link: https://huggingface.co/BAAI/bge-large-en-v1.5
|
| 361 |
seq_len: 512
|
| 362 |
+
size: 1340
|
| 363 |
+
dim: 1024
|
| 364 |
+
is_external: true
|
| 365 |
+
is_proprietary: false
|
| 366 |
+
is_sentence_transformers_compatible: false
|
| 367 |
+
uses_instruct: false
|
| 368 |
+
bge-large-en-v1.5-instruct:
|
| 369 |
+
link: https://huggingface.co/BAAI/bge-large-en-v1.5
|
| 370 |
+
seq_len: 512
|
| 371 |
+
size: 1340
|
| 372 |
dim: 1024
|
| 373 |
is_external: true
|
| 374 |
is_proprietary: false
|
| 375 |
is_sentence_transformers_compatible: false
|
| 376 |
+
uses_instruct: true
|
| 377 |
bge-large-zh-noinstruct:
|
| 378 |
link: https://huggingface.co/BAAI/bge-large-zh-noinstruct
|
| 379 |
seq_len: 512
|
|
|
|
| 382 |
is_external: true
|
| 383 |
is_proprietary: false
|
| 384 |
is_sentence_transformers_compatible: true
|
| 385 |
+
uses_instruct: false
|
| 386 |
bge-large-zh-v1.5:
|
| 387 |
link: https://huggingface.co/BAAI/bge-large-zh-v1.5
|
| 388 |
seq_len: 512
|
|
|
|
| 391 |
is_external: true
|
| 392 |
is_proprietary: false
|
| 393 |
is_sentence_transformers_compatible: true
|
| 394 |
+
uses_instruct: false
|
| 395 |
bge-m3:
|
| 396 |
link: https://huggingface.co/BAAI/bge-m3
|
| 397 |
seq_len: 8192
|
|
|
|
| 400 |
is_external: true
|
| 401 |
is_proprietary: false
|
| 402 |
is_sentence_transformers_compatible: false
|
| 403 |
+
uses_instruct: false
|
| 404 |
+
bge-m3-instruct:
|
| 405 |
+
link: https://huggingface.co/BAAI/bge-m3
|
| 406 |
+
seq_len: 8192
|
| 407 |
+
size: 2270
|
| 408 |
+
dim: 1024
|
| 409 |
+
is_external: true
|
| 410 |
+
is_proprietary: false
|
| 411 |
+
is_sentence_transformers_compatible: false
|
| 412 |
+
uses_instruct: true
|
| 413 |
+
bge-small-en-v1.5:
|
| 414 |
+
link: https://huggingface.co/BAAI/bge-small-en-v1.5
|
| 415 |
+
seq_len: 512
|
| 416 |
+
size: 24
|
| 417 |
+
dim: 512
|
| 418 |
+
is_external: true
|
| 419 |
+
is_proprietary: false
|
| 420 |
+
is_sentence_transformers_compatible: true
|
| 421 |
+
uses_instruct: false
|
| 422 |
+
bge-small-en-v1.5-instruct:
|
| 423 |
+
link: https://huggingface.co/BAAI/bge-small-en-v1.5
|
| 424 |
+
seq_len: 512
|
| 425 |
+
size: 24
|
| 426 |
+
dim: 512
|
| 427 |
+
is_external: true
|
| 428 |
+
is_proprietary: false
|
| 429 |
+
is_sentence_transformers_compatible: true
|
| 430 |
+
uses_instruct: true
|
| 431 |
bge-small-zh-v1.5:
|
| 432 |
link: https://huggingface.co/BAAI/bge-small-zh-v1.5
|
| 433 |
seq_len: 512
|
|
|
|
| 436 |
is_external: true
|
| 437 |
is_proprietary: false
|
| 438 |
is_sentence_transformers_compatible: true
|
| 439 |
+
uses_instruct: false
|
| 440 |
+
bm25:
|
| 441 |
link: https://en.wikipedia.org/wiki/Okapi_BM25
|
| 442 |
size: 0
|
| 443 |
is_external: true
|
| 444 |
is_proprietary: false
|
| 445 |
is_sentence_transformers_compatible: false
|
| 446 |
+
uses_instruct: false
|
| 447 |
+
bm25s:
|
| 448 |
+
link: https://github.com/xhluca/bm25s
|
| 449 |
+
size: 0
|
| 450 |
+
is_external: true
|
| 451 |
+
is_proprietary: false
|
| 452 |
+
is_sentence_transformers_compatible: false
|
| 453 |
+
uses_instruct: false
|
| 454 |
camembert-base:
|
| 455 |
link: https://huggingface.co/almanach/camembert-base
|
| 456 |
seq_len: 512
|
|
|
|
| 459 |
is_external: false
|
| 460 |
is_proprietary: false
|
| 461 |
is_sentence_transformers_compatible: true
|
| 462 |
+
uses_instruct: false
|
| 463 |
camembert-large:
|
| 464 |
link: https://huggingface.co/almanach/camembert-large
|
| 465 |
seq_len: 512
|
|
|
|
| 468 |
is_external: false
|
| 469 |
is_proprietary: false
|
| 470 |
is_sentence_transformers_compatible: true
|
| 471 |
+
uses_instruct: false
|
| 472 |
contriever-base-msmarco:
|
| 473 |
link: https://huggingface.co/nthakur/contriever-base-msmarco
|
| 474 |
seq_len: 512
|
|
|
|
| 477 |
is_external: true
|
| 478 |
is_proprietary: false
|
| 479 |
is_sentence_transformers_compatible: true
|
| 480 |
+
uses_instruct: false
|
| 481 |
+
contriever:
|
| 482 |
+
link: https://huggingface.co/facebook/contriever
|
| 483 |
+
seq_len: 512
|
| 484 |
+
size: 438
|
| 485 |
+
dim: 768
|
| 486 |
+
is_external: true
|
| 487 |
+
is_proprietary: false
|
| 488 |
+
is_sentence_transformers_compatible: false
|
| 489 |
+
uses_instruct: false
|
| 490 |
+
contriever-instruct:
|
| 491 |
+
link: https://huggingface.co/facebook/contriever
|
| 492 |
+
seq_len: 512
|
| 493 |
+
size: 438
|
| 494 |
+
dim: 768
|
| 495 |
+
is_external: true
|
| 496 |
+
is_proprietary: false
|
| 497 |
+
is_sentence_transformers_compatible: false
|
| 498 |
+
uses_instruct: true
|
| 499 |
cross-en-de-roberta-sentence-transformer:
|
| 500 |
link: https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer
|
| 501 |
seq_len: 514
|
|
|
|
| 504 |
is_external: true
|
| 505 |
is_proprietary: false
|
| 506 |
is_sentence_transformers_compatible: true
|
| 507 |
+
uses_instruct: false
|
| 508 |
dfm-encoder-large-v1:
|
| 509 |
link: https://huggingface.co/chcaa/dfm-encoder-large-v1
|
| 510 |
seq_len: 512
|
|
|
|
| 513 |
is_external: true
|
| 514 |
is_proprietary: false
|
| 515 |
is_sentence_transformers_compatible: true
|
| 516 |
+
uses_instruct: false
|
| 517 |
dfm-sentence-encoder-large-1:
|
| 518 |
link: https://huggingface.co/chcaa/dfm-encoder-large-v1
|
| 519 |
seq_len: 512
|
|
|
|
| 522 |
is_external: true
|
| 523 |
is_proprietary: false
|
| 524 |
is_sentence_transformers_compatible: true
|
| 525 |
+
uses_instruct: false
|
| 526 |
distilbert-base-25lang-cased:
|
| 527 |
link: https://huggingface.co/Geotrend/distilbert-base-25lang-cased
|
| 528 |
seq_len: 512
|
|
|
|
| 531 |
is_external: false
|
| 532 |
is_proprietary: false
|
| 533 |
is_sentence_transformers_compatible: true
|
| 534 |
+
uses_instruct: false
|
| 535 |
distilbert-base-en-fr-cased:
|
| 536 |
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-cased
|
| 537 |
seq_len: 512
|
|
|
|
| 540 |
is_external: false
|
| 541 |
is_proprietary: false
|
| 542 |
is_sentence_transformers_compatible: true
|
| 543 |
+
uses_instruct: false
|
| 544 |
distilbert-base-en-fr-es-pt-it-cased:
|
| 545 |
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-es-pt-it-cased
|
| 546 |
seq_len: 512
|
|
|
|
| 549 |
is_external: false
|
| 550 |
is_proprietary: false
|
| 551 |
is_sentence_transformers_compatible: true
|
| 552 |
+
uses_instruct: false
|
| 553 |
distilbert-base-fr-cased:
|
| 554 |
link: https://huggingface.co/Geotrend/distilbert-base-fr-cased
|
| 555 |
seq_len: 512
|
|
|
|
| 558 |
is_external: false
|
| 559 |
is_proprietary: false
|
| 560 |
is_sentence_transformers_compatible: true
|
| 561 |
+
uses_instruct: false
|
| 562 |
distilbert-base-uncased:
|
| 563 |
link: https://huggingface.co/distilbert-base-uncased
|
| 564 |
seq_len: 512
|
|
|
|
| 567 |
is_external: false
|
| 568 |
is_proprietary: false
|
| 569 |
is_sentence_transformers_compatible: true
|
| 570 |
+
uses_instruct: false
|
| 571 |
distiluse-base-multilingual-cased-v2:
|
| 572 |
link: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2
|
| 573 |
seq_len: 512
|
|
|
|
| 576 |
is_external: true
|
| 577 |
is_proprietary: false
|
| 578 |
is_sentence_transformers_compatible: true
|
| 579 |
+
uses_instruct: false
|
| 580 |
+
dragon-plus:
|
| 581 |
+
link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon
|
| 582 |
+
seq_len: 512
|
| 583 |
+
size: 438
|
| 584 |
+
dim: 768
|
| 585 |
+
is_external: true
|
| 586 |
+
is_proprietary: false
|
| 587 |
+
is_sentence_transformers_compatible: false
|
| 588 |
+
uses_instruct: false
|
| 589 |
+
dragon-plus-instruct:
|
| 590 |
+
link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon
|
| 591 |
+
seq_len: 512
|
| 592 |
+
size: 438
|
| 593 |
+
dim: 768
|
| 594 |
+
is_external: true
|
| 595 |
+
is_proprietary: false
|
| 596 |
+
is_sentence_transformers_compatible: false
|
| 597 |
+
uses_instruct: true
|
| 598 |
e5-base-4k:
|
| 599 |
link: https://huggingface.co/dwzhu/e5-base-4k
|
| 600 |
seq_len: 512
|
|
|
|
| 603 |
is_external: true
|
| 604 |
is_proprietary: false
|
| 605 |
is_sentence_transformers_compatible: true
|
| 606 |
+
uses_instruct: false
|
| 607 |
e5-base-v2:
|
| 608 |
link: https://huggingface.co/intfloat/e5-base-v2
|
| 609 |
seq_len: 512
|
|
|
|
| 612 |
is_external: true
|
| 613 |
is_proprietary: false
|
| 614 |
is_sentence_transformers_compatible: true
|
| 615 |
+
uses_instruct: false
|
| 616 |
e5-base:
|
| 617 |
link: https://huggingface.co/intfloat/e5-base
|
| 618 |
seq_len: 512
|
|
|
|
| 621 |
is_external: true
|
| 622 |
is_proprietary: false
|
| 623 |
is_sentence_transformers_compatible: true
|
| 624 |
+
uses_instruct: false
|
| 625 |
e5-large-v2:
|
| 626 |
link: https://huggingface.co/intfloat/e5-large-v2
|
| 627 |
seq_len: 512
|
|
|
|
| 630 |
is_external: true
|
| 631 |
is_proprietary: false
|
| 632 |
is_sentence_transformers_compatible: true
|
| 633 |
+
uses_instruct: false
|
| 634 |
e5-large:
|
| 635 |
link: https://huggingface.co/intfloat/e5-large
|
| 636 |
seq_len: 512
|
|
|
|
| 639 |
is_external: true
|
| 640 |
is_proprietary: false
|
| 641 |
is_sentence_transformers_compatible: true
|
| 642 |
+
uses_instruct: false
|
| 643 |
e5-mistral-7b-instruct:
|
| 644 |
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct
|
| 645 |
seq_len: 32768
|
|
|
|
| 648 |
is_external: true
|
| 649 |
is_proprietary: false
|
| 650 |
is_sentence_transformers_compatible: true
|
| 651 |
+
uses_instruct: true
|
| 652 |
+
e5-mistral-7b-instruct-noinstruct:
|
| 653 |
+
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct-noinstruct
|
| 654 |
+
seq_len: 32768
|
| 655 |
+
size: 7111
|
| 656 |
+
dim: 4096
|
| 657 |
+
is_external: true
|
| 658 |
+
is_proprietary: false
|
| 659 |
+
is_sentence_transformers_compatible: true
|
| 660 |
+
uses_instruct: false
|
| 661 |
e5-small:
|
| 662 |
link: https://huggingface.co/intfloat/e5-small
|
| 663 |
seq_len: 512
|
|
|
|
| 666 |
is_external: true
|
| 667 |
is_proprietary: false
|
| 668 |
is_sentence_transformers_compatible: true
|
| 669 |
+
uses_instruct: false
|
| 670 |
electra-small-nordic:
|
| 671 |
link: https://huggingface.co/jonfd/electra-small-nordic
|
| 672 |
seq_len: 512
|
|
|
|
| 675 |
is_external: true
|
| 676 |
is_proprietary: false
|
| 677 |
is_sentence_transformers_compatible: true
|
| 678 |
+
uses_instruct: false
|
| 679 |
electra-small-swedish-cased-discriminator:
|
| 680 |
link: https://huggingface.co/KBLab/electra-small-swedish-cased-discriminator
|
| 681 |
seq_len: 512
|
|
|
|
| 684 |
is_external: true
|
| 685 |
is_proprietary: false
|
| 686 |
is_sentence_transformers_compatible: true
|
| 687 |
+
uses_instruct: false
|
| 688 |
elser-v2:
|
| 689 |
link: https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html
|
| 690 |
seq_len: 512
|
|
|
|
| 693 |
is_external: true
|
| 694 |
is_proprietary: false
|
| 695 |
is_sentence_transformers_compatible: false
|
| 696 |
+
uses_instruct: false
|
| 697 |
flan-t5-base:
|
| 698 |
link: https://huggingface.co/google/flan-t5-base
|
| 699 |
seq_len: 512
|
|
|
|
| 702 |
is_external: true
|
| 703 |
is_proprietary: false
|
| 704 |
is_sentence_transformers_compatible: true
|
| 705 |
+
uses_instruct: true
|
| 706 |
flan-t5-large:
|
| 707 |
link: https://huggingface.co/google/flan-t5-large
|
| 708 |
seq_len: 512
|
|
|
|
| 711 |
is_external: true
|
| 712 |
is_proprietary: false
|
| 713 |
is_sentence_transformers_compatible: true
|
| 714 |
+
uses_instruct: true
|
| 715 |
flaubert_base_cased:
|
| 716 |
link: https://huggingface.co/flaubert/flaubert_base_cased
|
| 717 |
seq_len: 512
|
|
|
|
| 720 |
is_external: true
|
| 721 |
is_proprietary: false
|
| 722 |
is_sentence_transformers_compatible: true
|
| 723 |
+
uses_instruct: false
|
| 724 |
flaubert_base_uncased:
|
| 725 |
link: https://huggingface.co/flaubert/flaubert_base_uncased
|
| 726 |
seq_len: 512
|
|
|
|
| 729 |
is_external: true
|
| 730 |
is_proprietary: false
|
| 731 |
is_sentence_transformers_compatible: true
|
| 732 |
+
uses_instruct: false
|
| 733 |
flaubert_large_cased:
|
| 734 |
link: https://huggingface.co/flaubert/flaubert_large_cased
|
| 735 |
seq_len: 512
|
|
|
|
| 738 |
is_external: true
|
| 739 |
is_proprietary: false
|
| 740 |
is_sentence_transformers_compatible: true
|
| 741 |
+
uses_instruct: false
|
| 742 |
gbert-base:
|
| 743 |
link: https://huggingface.co/deepset/gbert-base
|
| 744 |
seq_len: 512
|
|
|
|
| 747 |
is_external: true
|
| 748 |
is_proprietary: false
|
| 749 |
is_sentence_transformers_compatible: true
|
| 750 |
+
uses_instruct: false
|
| 751 |
gbert-large:
|
| 752 |
link: https://huggingface.co/deepset/gbert-large
|
| 753 |
seq_len: 512
|
|
|
|
| 756 |
is_external: true
|
| 757 |
is_proprietary: false
|
| 758 |
is_sentence_transformers_compatible: true
|
| 759 |
+
uses_instruct: false
|
| 760 |
gelectra-base:
|
| 761 |
link: https://huggingface.co/deepset/gelectra-base
|
| 762 |
seq_len: 512
|
|
|
|
| 765 |
is_external: true
|
| 766 |
is_proprietary: false
|
| 767 |
is_sentence_transformers_compatible: true
|
| 768 |
+
uses_instruct: false
|
| 769 |
gelectra-large:
|
| 770 |
link: https://huggingface.co/deepset/gelectra-large
|
| 771 |
seq_len: 512
|
|
|
|
| 774 |
is_external: true
|
| 775 |
is_proprietary: false
|
| 776 |
is_sentence_transformers_compatible: true
|
| 777 |
+
uses_instruct: false
|
| 778 |
glove.6B.300d:
|
| 779 |
link: https://huggingface.co/sentence-transformers/average_word_embeddings_glove.6B.300d
|
| 780 |
seq_len: N/A
|
|
|
|
| 783 |
is_external: true
|
| 784 |
is_proprietary: false
|
| 785 |
is_sentence_transformers_compatible: true
|
| 786 |
+
uses_instruct: false
|
| 787 |
google-gecko-256.text-embedding-preview-0409:
|
| 788 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
| 789 |
seq_len: 2048
|
|
|
|
| 792 |
is_external: true
|
| 793 |
is_proprietary: true
|
| 794 |
is_sentence_transformers_compatible: false
|
| 795 |
+
uses_instruct: false
|
| 796 |
google-gecko.text-embedding-preview-0409:
|
| 797 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
| 798 |
seq_len: 2048
|
|
|
|
| 801 |
is_external: true
|
| 802 |
is_proprietary: true
|
| 803 |
is_sentence_transformers_compatible: false
|
| 804 |
+
uses_instruct: false
|
| 805 |
gottbert-base:
|
| 806 |
link: https://huggingface.co/uklfr/gottbert-base
|
| 807 |
seq_len: 512
|
|
|
|
| 810 |
is_external: true
|
| 811 |
is_proprietary: false
|
| 812 |
is_sentence_transformers_compatible: true
|
| 813 |
+
uses_instruct: false
|
| 814 |
gte-Qwen1.5-7B-instruct:
|
| 815 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct
|
| 816 |
seq_len: 32768
|
|
|
|
| 819 |
is_external: true
|
| 820 |
is_proprietary: false
|
| 821 |
is_sentence_transformers_compatible: true
|
| 822 |
+
uses_instruct: true
|
| 823 |
gte-Qwen2-7B-instruct:
|
| 824 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct
|
| 825 |
seq_len: 32768
|
|
|
|
| 828 |
is_external: true
|
| 829 |
is_proprietary: false
|
| 830 |
is_sentence_transformers_compatible: true
|
| 831 |
+
uses_instruct: true
|
| 832 |
gtr-t5-base:
|
| 833 |
link: https://huggingface.co/sentence-transformers/gtr-t5-base
|
| 834 |
seq_len: 512
|
|
|
|
| 837 |
is_external: true
|
| 838 |
is_proprietary: false
|
| 839 |
is_sentence_transformers_compatible: true
|
| 840 |
+
uses_instruct: false
|
| 841 |
gtr-t5-large:
|
| 842 |
link: https://huggingface.co/sentence-transformers/gtr-t5-large
|
| 843 |
seq_len: 512
|
|
|
|
| 846 |
is_external: true
|
| 847 |
is_proprietary: false
|
| 848 |
is_sentence_transformers_compatible: true
|
| 849 |
+
uses_instruct: false
|
| 850 |
gtr-t5-xl:
|
| 851 |
link: https://huggingface.co/sentence-transformers/gtr-t5-xl
|
| 852 |
seq_len: 512
|
|
|
|
| 855 |
is_external: true
|
| 856 |
is_proprietary: false
|
| 857 |
is_sentence_transformers_compatible: true
|
| 858 |
+
uses_instruct: false
|
| 859 |
gtr-t5-xxl:
|
| 860 |
link: https://huggingface.co/sentence-transformers/gtr-t5-xxl
|
| 861 |
seq_len: 512
|
|
|
|
| 864 |
is_external: true
|
| 865 |
is_proprietary: false
|
| 866 |
is_sentence_transformers_compatible: true
|
| 867 |
+
uses_instruct: false
|
| 868 |
herbert-base-retrieval-v2:
|
| 869 |
link: https://huggingface.co/ipipan/herbert-base-retrieval-v2
|
| 870 |
seq_len: 514
|
|
|
|
| 873 |
is_external: true
|
| 874 |
is_proprietary: false
|
| 875 |
is_sentence_transformers_compatible: true
|
| 876 |
+
uses_instruct: false
|
| 877 |
instructor-base:
|
| 878 |
link: https://huggingface.co/hkunlp/instructor-base
|
| 879 |
seq_len: N/A
|
|
|
|
| 882 |
is_external: true
|
| 883 |
is_proprietary: false
|
| 884 |
is_sentence_transformers_compatible: true
|
| 885 |
+
uses_instruct: true
|
| 886 |
instructor-large:
|
| 887 |
link: https://huggingface.co/hkunlp/instructor-large
|
| 888 |
seq_len: 512
|
|
|
|
| 891 |
is_external: true
|
| 892 |
is_proprietary: false
|
| 893 |
is_sentence_transformers_compatible: true
|
| 894 |
+
uses_instruct: true
|
| 895 |
instructor-xl:
|
| 896 |
link: https://huggingface.co/hkunlp/instructor-xl
|
| 897 |
seq_len: 512
|
|
|
|
| 900 |
is_external: true
|
| 901 |
is_proprietary: false
|
| 902 |
is_sentence_transformers_compatible: true
|
| 903 |
+
uses_instruct: true
|
| 904 |
jina-embeddings-v2-base-en:
|
| 905 |
link: https://huggingface.co/jinaai/jina-embeddings-v2-base-en
|
| 906 |
seq_len: 8192
|
|
|
|
| 909 |
is_external: true
|
| 910 |
is_proprietary: false
|
| 911 |
is_sentence_transformers_compatible: true
|
| 912 |
+
uses_instruct: false
|
| 913 |
komninos:
|
| 914 |
link: https://huggingface.co/sentence-transformers/average_word_embeddings_komninos
|
| 915 |
seq_len: N/A
|
|
|
|
| 918 |
is_external: true
|
| 919 |
is_proprietary: false
|
| 920 |
is_sentence_transformers_compatible: true
|
| 921 |
+
uses_instruct: false
|
| 922 |
llama-2-7b-chat:
|
| 923 |
link: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf
|
| 924 |
seq_len: 4096
|
|
|
|
| 927 |
is_external: true
|
| 928 |
is_proprietary: false
|
| 929 |
is_sentence_transformers_compatible: false
|
| 930 |
+
uses_instruct: true
|
| 931 |
luotuo-bert-medium:
|
| 932 |
link: https://huggingface.co/silk-road/luotuo-bert-medium
|
| 933 |
seq_len: 512
|
|
|
|
| 936 |
is_external: true
|
| 937 |
is_proprietary: false
|
| 938 |
is_sentence_transformers_compatible: true
|
| 939 |
+
uses_instruct: false
|
| 940 |
m3e-base:
|
| 941 |
link: https://huggingface.co/moka-ai/m3e-base
|
| 942 |
seq_len: 512
|
|
|
|
| 945 |
is_external: true
|
| 946 |
is_proprietary: false
|
| 947 |
is_sentence_transformers_compatible: true
|
| 948 |
+
uses_instruct: false
|
| 949 |
m3e-large:
|
| 950 |
link: https://huggingface.co/moka-ai/m3e-large
|
| 951 |
seq_len: 512
|
|
|
|
| 954 |
is_external: true
|
| 955 |
is_proprietary: false
|
| 956 |
is_sentence_transformers_compatible: true
|
| 957 |
+
uses_instruct: false
|
| 958 |
mistral-7b-instruct-v0.2:
|
| 959 |
link: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2
|
| 960 |
seq_len: 4096
|
|
|
|
| 963 |
is_external: true
|
| 964 |
is_proprietary: false
|
| 965 |
is_sentence_transformers_compatible: false
|
| 966 |
+
uses_instruct: true
|
| 967 |
mistral-embed:
|
| 968 |
link: https://docs.mistral.ai/guides/embeddings
|
| 969 |
seq_len: null
|
|
|
|
| 972 |
is_external: true
|
| 973 |
is_proprietary: true
|
| 974 |
is_sentence_transformers_compatible: false
|
| 975 |
+
uses_instruct: false
|
| 976 |
monobert-large-msmarco:
|
| 977 |
link: https://huggingface.co/castorini/monobert-large-msmarco
|
| 978 |
seq_len: 512
|
|
|
|
| 981 |
is_external: true
|
| 982 |
is_proprietary: false
|
| 983 |
is_sentence_transformers_compatible: false
|
| 984 |
+
uses_instruct: false
|
| 985 |
monot5-3b-msmarco-10k:
|
| 986 |
link: https://huggingface.co/castorini/monot5-3b-msmarco-10k
|
| 987 |
seq_len: 512
|
|
|
|
| 990 |
is_external: true
|
| 991 |
is_proprietary: false
|
| 992 |
is_sentence_transformers_compatible: false
|
| 993 |
+
uses_instruct: true
|
| 994 |
monot5-base-msmarco-10k:
|
| 995 |
link: https://huggingface.co/castorini/monot5-base-msmarco-10k
|
| 996 |
seq_len: 512
|
|
|
|
| 999 |
is_external: true
|
| 1000 |
is_proprietary: false
|
| 1001 |
is_sentence_transformers_compatible: false
|
| 1002 |
+
uses_instruct: true
|
| 1003 |
msmarco-bert-co-condensor:
|
| 1004 |
link: https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor
|
| 1005 |
seq_len: 512
|
|
|
|
| 1008 |
is_external: true
|
| 1009 |
is_proprietary: false
|
| 1010 |
is_sentence_transformers_compatible: true
|
| 1011 |
+
uses_instruct: false
|
| 1012 |
multi-qa-MiniLM-L6-cos-v1:
|
| 1013 |
link: https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1
|
| 1014 |
seq_len: 512
|
|
|
|
| 1017 |
is_external: true
|
| 1018 |
is_proprietary: false
|
| 1019 |
is_sentence_transformers_compatible: true
|
| 1020 |
+
uses_instruct: false
|
| 1021 |
multilingual-e5-base:
|
| 1022 |
link: https://huggingface.co/intfloat/multilingual-e5-base
|
| 1023 |
seq_len: 514
|
|
|
|
| 1026 |
is_external: true
|
| 1027 |
is_proprietary: false
|
| 1028 |
is_sentence_transformers_compatible: true
|
| 1029 |
+
uses_instruct: false
|
| 1030 |
multilingual-e5-large:
|
| 1031 |
link: https://huggingface.co/intfloat/multilingual-e5-large
|
| 1032 |
seq_len: 514
|
|
|
|
| 1035 |
is_external: true
|
| 1036 |
is_proprietary: false
|
| 1037 |
is_sentence_transformers_compatible: true
|
| 1038 |
+
uses_instruct: false
|
| 1039 |
multilingual-e5-small:
|
| 1040 |
link: https://huggingface.co/intfloat/multilingual-e5-small
|
| 1041 |
seq_len: 512
|
|
|
|
| 1044 |
is_external: true
|
| 1045 |
is_proprietary: false
|
| 1046 |
is_sentence_transformers_compatible: true
|
| 1047 |
+
uses_instruct: false
|
| 1048 |
nb-bert-base:
|
| 1049 |
link: https://huggingface.co/NbAiLab/nb-bert-base
|
| 1050 |
seq_len: 512
|
|
|
|
| 1053 |
is_external: true
|
| 1054 |
is_proprietary: false
|
| 1055 |
is_sentence_transformers_compatible: true
|
| 1056 |
+
uses_instruct: false
|
| 1057 |
nb-bert-large:
|
| 1058 |
link: https://huggingface.co/NbAiLab/nb-bert-large
|
| 1059 |
seq_len: 512
|
|
|
|
| 1062 |
is_external: true
|
| 1063 |
is_proprietary: false
|
| 1064 |
is_sentence_transformers_compatible: true
|
| 1065 |
+
uses_instruct: false
|
| 1066 |
nomic-embed-text-v1:
|
| 1067 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1
|
| 1068 |
seq_len: 8192
|
|
|
|
| 1071 |
is_external: true
|
| 1072 |
is_proprietary: false
|
| 1073 |
is_sentence_transformers_compatible: true
|
| 1074 |
+
uses_instruct: false
|
| 1075 |
nomic-embed-text-v1.5-128:
|
| 1076 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 1077 |
seq_len: 8192
|
|
|
|
| 1080 |
is_external: true
|
| 1081 |
is_proprietary: false
|
| 1082 |
is_sentence_transformers_compatible: true
|
| 1083 |
+
uses_instruct: false
|
| 1084 |
nomic-embed-text-v1.5-256:
|
| 1085 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 1086 |
seq_len: 8192
|
|
|
|
| 1089 |
is_external: true
|
| 1090 |
is_proprietary: false
|
| 1091 |
is_sentence_transformers_compatible: true
|
| 1092 |
+
uses_instruct: false
|
| 1093 |
nomic-embed-text-v1.5-512:
|
| 1094 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 1095 |
seq_len: 8192
|
|
|
|
| 1098 |
is_external: true
|
| 1099 |
is_proprietary: false
|
| 1100 |
is_sentence_transformers_compatible: true
|
| 1101 |
+
uses_instruct: false
|
| 1102 |
nomic-embed-text-v1.5-64:
|
| 1103 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 1104 |
seq_len: 8192
|
|
|
|
| 1107 |
is_external: true
|
| 1108 |
is_proprietary: false
|
| 1109 |
is_sentence_transformers_compatible: true
|
| 1110 |
+
uses_instruct: false
|
| 1111 |
norbert3-base:
|
| 1112 |
link: https://huggingface.co/ltg/norbert3-base
|
| 1113 |
seq_len: 512
|
|
|
|
| 1116 |
is_external: true
|
| 1117 |
is_proprietary: false
|
| 1118 |
is_sentence_transformers_compatible: true
|
| 1119 |
+
uses_instruct: false
|
| 1120 |
norbert3-large:
|
| 1121 |
link: https://huggingface.co/ltg/norbert3-large
|
| 1122 |
seq_len: 512
|
|
|
|
| 1125 |
is_external: true
|
| 1126 |
is_proprietary: false
|
| 1127 |
is_sentence_transformers_compatible: true
|
| 1128 |
+
uses_instruct: false
|
| 1129 |
paraphrase-multilingual-MiniLM-L12-v2:
|
| 1130 |
link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
| 1131 |
seq_len: 512
|
|
|
|
| 1134 |
is_external: true
|
| 1135 |
is_proprietary: false
|
| 1136 |
is_sentence_transformers_compatible: true
|
| 1137 |
+
uses_instruct: false
|
| 1138 |
paraphrase-multilingual-mpnet-base-v2:
|
| 1139 |
link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
|
| 1140 |
seq_len: 514
|
|
|
|
| 1143 |
is_external: true
|
| 1144 |
is_proprietary: false
|
| 1145 |
is_sentence_transformers_compatible: true
|
| 1146 |
+
uses_instruct: false
|
| 1147 |
sentence-bert-swedish-cased:
|
| 1148 |
link: https://huggingface.co/KBLab/sentence-bert-swedish-cased
|
| 1149 |
seq_len: 512
|
|
|
|
| 1152 |
is_external: true
|
| 1153 |
is_proprietary: false
|
| 1154 |
is_sentence_transformers_compatible: true
|
| 1155 |
+
uses_instruct: false
|
| 1156 |
sentence-camembert-base:
|
| 1157 |
link: https://huggingface.co/dangvantuan/sentence-camembert-base
|
| 1158 |
seq_len: 512
|
|
|
|
| 1161 |
is_external: true
|
| 1162 |
is_proprietary: false
|
| 1163 |
is_sentence_transformers_compatible: true
|
| 1164 |
+
uses_instruct: false
|
| 1165 |
sentence-camembert-large:
|
| 1166 |
link: https://huggingface.co/dangvantuan/sentence-camembert-large
|
| 1167 |
seq_len: 512
|
|
|
|
| 1170 |
is_external: true
|
| 1171 |
is_proprietary: false
|
| 1172 |
is_sentence_transformers_compatible: true
|
| 1173 |
+
uses_instruct: false
|
| 1174 |
sentence-croissant-llm-base:
|
| 1175 |
link: https://huggingface.co/Wissam42/sentence-croissant-llm-base
|
| 1176 |
seq_len: 2048
|
|
|
|
| 1179 |
is_external: true
|
| 1180 |
is_proprietary: false
|
| 1181 |
is_sentence_transformers_compatible: true
|
| 1182 |
+
uses_instruct: false
|
| 1183 |
sentence-t5-base:
|
| 1184 |
link: https://huggingface.co/sentence-transformers/sentence-t5-base
|
| 1185 |
seq_len: 512
|
|
|
|
| 1188 |
is_external: true
|
| 1189 |
is_proprietary: false
|
| 1190 |
is_sentence_transformers_compatible: true
|
| 1191 |
+
uses_instruct: false
|
| 1192 |
sentence-t5-large:
|
| 1193 |
link: https://huggingface.co/sentence-transformers/sentence-t5-large
|
| 1194 |
seq_len: 512
|
|
|
|
| 1197 |
is_external: true
|
| 1198 |
is_proprietary: false
|
| 1199 |
is_sentence_transformers_compatible: true
|
| 1200 |
+
uses_instruct: false
|
| 1201 |
sentence-t5-xl:
|
| 1202 |
link: https://huggingface.co/sentence-transformers/sentence-t5-xl
|
| 1203 |
seq_len: 512
|
|
|
|
| 1206 |
is_external: true
|
| 1207 |
is_proprietary: false
|
| 1208 |
is_sentence_transformers_compatible: true
|
| 1209 |
+
uses_instruct: false
|
| 1210 |
sentence-t5-xxl:
|
| 1211 |
link: https://huggingface.co/sentence-transformers/sentence-t5-xxl
|
| 1212 |
seq_len: 512
|
|
|
|
| 1215 |
is_external: true
|
| 1216 |
is_proprietary: false
|
| 1217 |
is_sentence_transformers_compatible: true
|
| 1218 |
+
uses_instruct: false
|
| 1219 |
silver-retriever-base-v1:
|
| 1220 |
link: https://huggingface.co/ipipan/silver-retriever-base-v1
|
| 1221 |
seq_len: 514
|
|
|
|
| 1224 |
is_external: true
|
| 1225 |
is_proprietary: false
|
| 1226 |
is_sentence_transformers_compatible: true
|
| 1227 |
+
uses_instruct: false
|
| 1228 |
st-polish-paraphrase-from-distilroberta:
|
| 1229 |
link: https://huggingface.co/sdadas/st-polish-paraphrase-from-distilroberta
|
| 1230 |
seq_len: 514
|
|
|
|
| 1233 |
is_external: true
|
| 1234 |
is_proprietary: false
|
| 1235 |
is_sentence_transformers_compatible: true
|
| 1236 |
+
uses_instruct: false
|
| 1237 |
st-polish-paraphrase-from-mpnet:
|
| 1238 |
link: https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet
|
| 1239 |
seq_len: 514
|
|
|
|
| 1242 |
is_external: true
|
| 1243 |
is_proprietary: false
|
| 1244 |
is_sentence_transformers_compatible: true
|
| 1245 |
+
uses_instruct: false
|
| 1246 |
sup-simcse-bert-base-uncased:
|
| 1247 |
link: https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased
|
| 1248 |
seq_len: 512
|
|
|
|
| 1251 |
is_external: true
|
| 1252 |
is_proprietary: false
|
| 1253 |
is_sentence_transformers_compatible: true
|
| 1254 |
+
uses_instruct: false
|
| 1255 |
text-embedding-3-large:
|
| 1256 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
| 1257 |
seq_len: 8191
|
|
|
|
| 1260 |
is_external: true
|
| 1261 |
is_proprietary: true
|
| 1262 |
is_sentence_transformers_compatible: false
|
| 1263 |
+
uses_instruct: false
|
| 1264 |
+
text-embedding-3-large-instruct:
|
| 1265 |
+
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
| 1266 |
+
seq_len: 8191
|
| 1267 |
+
size: null
|
| 1268 |
+
dim: 3072
|
| 1269 |
+
is_external: true
|
| 1270 |
+
is_proprietary: true
|
| 1271 |
+
is_sentence_transformers_compatible: false
|
| 1272 |
+
uses_instruct: true
|
| 1273 |
text-embedding-3-large-256:
|
| 1274 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
| 1275 |
seq_len: 8191
|
|
|
|
| 1278 |
is_external: true
|
| 1279 |
is_proprietary: true
|
| 1280 |
is_sentence_transformers_compatible: false
|
| 1281 |
+
uses_instruct: false
|
| 1282 |
text-embedding-3-small:
|
| 1283 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
| 1284 |
seq_len: 8191
|
|
|
|
| 1287 |
is_external: true
|
| 1288 |
is_proprietary: true
|
| 1289 |
is_sentence_transformers_compatible: false
|
| 1290 |
+
uses_instruct: false
|
| 1291 |
+
text-embedding-3-small-instruct:
|
| 1292 |
+
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
| 1293 |
+
seq_len: 8191
|
| 1294 |
+
size: null
|
| 1295 |
+
dim: 1536
|
| 1296 |
+
is_external: true
|
| 1297 |
+
is_proprietary: true
|
| 1298 |
+
is_sentence_transformers_compatible: false
|
| 1299 |
+
uses_instruct: true
|
| 1300 |
text-embedding-ada-002:
|
| 1301 |
link: https://openai.com/blog/new-and-improved-embedding-model
|
| 1302 |
seq_len: 8191
|
|
|
|
| 1305 |
is_external: true
|
| 1306 |
is_proprietary: true
|
| 1307 |
is_sentence_transformers_compatible: false
|
| 1308 |
+
uses_instruct: false
|
| 1309 |
+
text-embedding-ada-002-instruct:
|
| 1310 |
+
link: https://openai.com/blog/new-and-improved-embedding-model
|
| 1311 |
+
seq_len: 8191
|
| 1312 |
+
size: null
|
| 1313 |
+
dim: 1536
|
| 1314 |
+
is_external: true
|
| 1315 |
+
is_proprietary: true
|
| 1316 |
+
is_sentence_transformers_compatible: false
|
| 1317 |
+
uses_instruct: true
|
| 1318 |
text-search-ada-001:
|
| 1319 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1320 |
seq_len: 2046
|
|
|
|
| 1323 |
is_external: true
|
| 1324 |
is_proprietary: true
|
| 1325 |
is_sentence_transformers_compatible: false
|
| 1326 |
+
uses_instruct: false
|
| 1327 |
text-search-ada-doc-001:
|
| 1328 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1329 |
seq_len: 2046
|
|
|
|
| 1332 |
is_external: true
|
| 1333 |
is_proprietary: true
|
| 1334 |
is_sentence_transformers_compatible: false
|
| 1335 |
+
uses_instruct: false
|
| 1336 |
text-search-ada-query-001:
|
| 1337 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1338 |
seq_len: 2046
|
|
|
|
| 1341 |
is_external: false
|
| 1342 |
is_proprietary: true
|
| 1343 |
is_sentence_transformers_compatible: false
|
| 1344 |
+
uses_instruct: false
|
| 1345 |
text-search-babbage-001:
|
| 1346 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1347 |
seq_len: 2046
|
|
|
|
| 1350 |
is_external: true
|
| 1351 |
is_proprietary: true
|
| 1352 |
is_sentence_transformers_compatible: false
|
| 1353 |
+
uses_instruct: false
|
| 1354 |
text-search-curie-001:
|
| 1355 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1356 |
seq_len: 2046
|
|
|
|
| 1359 |
is_external: true
|
| 1360 |
is_proprietary: true
|
| 1361 |
is_sentence_transformers_compatible: false
|
| 1362 |
+
uses_instruct: false
|
| 1363 |
text-search-davinci-001:
|
| 1364 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1365 |
seq_len: 2046
|
|
|
|
| 1368 |
is_external: true
|
| 1369 |
is_proprietary: true
|
| 1370 |
is_sentence_transformers_compatible: false
|
| 1371 |
+
uses_instruct: false
|
| 1372 |
text-similarity-ada-001:
|
| 1373 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1374 |
seq_len: 2046
|
|
|
|
| 1377 |
is_external: true
|
| 1378 |
is_proprietary: true
|
| 1379 |
is_sentence_transformers_compatible: false
|
| 1380 |
+
uses_instruct: false
|
| 1381 |
text-similarity-babbage-001:
|
| 1382 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1383 |
seq_len: 2046
|
|
|
|
| 1386 |
is_external: true
|
| 1387 |
is_proprietary: true
|
| 1388 |
is_sentence_transformers_compatible: false
|
| 1389 |
+
uses_instruct: false
|
| 1390 |
text-similarity-curie-001:
|
| 1391 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1392 |
seq_len: 2046
|
|
|
|
| 1395 |
is_external: true
|
| 1396 |
is_proprietary: true
|
| 1397 |
is_sentence_transformers_compatible: false
|
| 1398 |
+
uses_instruct: false
|
| 1399 |
text-similarity-davinci-001:
|
| 1400 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 1401 |
seq_len: 2046
|
|
|
|
| 1404 |
is_external: true
|
| 1405 |
is_proprietary: true
|
| 1406 |
is_sentence_transformers_compatible: false
|
| 1407 |
+
uses_instruct: false
|
| 1408 |
tart-dual-contriever-msmarco:
|
| 1409 |
link: https://huggingface.co/orionweller/tart-dual-contriever-msmarco
|
| 1410 |
seq_len: 512
|
|
|
|
| 1413 |
is_external: true
|
| 1414 |
is_proprietary: false
|
| 1415 |
is_sentence_transformers_compatible: false
|
| 1416 |
+
uses_instruct: true
|
| 1417 |
tart-full-flan-t5-xl:
|
| 1418 |
link: https://huggingface.co/facebook/tart-full-flan-t5-xl
|
| 1419 |
seq_len: 512
|
|
|
|
| 1422 |
is_external: true
|
| 1423 |
is_proprietary: false
|
| 1424 |
is_sentence_transformers_compatible: false
|
| 1425 |
+
uses_instruct: true
|
| 1426 |
text2vec-base-chinese:
|
| 1427 |
link: https://huggingface.co/shibing624/text2vec-base-chinese
|
| 1428 |
seq_len: 512
|
|
|
|
| 1431 |
is_external: true
|
| 1432 |
is_proprietary: false
|
| 1433 |
is_sentence_transformers_compatible: true
|
| 1434 |
+
uses_instruct: false
|
| 1435 |
text2vec-base-multilingual:
|
| 1436 |
link: null
|
| 1437 |
seq_len: null
|
|
|
|
| 1440 |
is_external: true
|
| 1441 |
is_proprietary: false
|
| 1442 |
is_sentence_transformers_compatible: false
|
| 1443 |
+
uses_instruct: false
|
| 1444 |
text2vec-large-chinese:
|
| 1445 |
link: https://huggingface.co/GanymedeNil/text2vec-large-chinese
|
| 1446 |
seq_len: 512
|
|
|
|
| 1449 |
is_external: true
|
| 1450 |
is_proprietary: false
|
| 1451 |
is_sentence_transformers_compatible: true
|
| 1452 |
+
uses_instruct: false
|
| 1453 |
titan-embed-text-v1:
|
| 1454 |
link: https://docs.aws.amazon.com/bedrock/latest/userguide/embeddings.html
|
| 1455 |
seq_len: 8000
|
|
|
|
| 1458 |
is_external: true
|
| 1459 |
is_proprietary: true
|
| 1460 |
is_sentence_transformers_compatible: false
|
| 1461 |
+
uses_instruct: false
|
| 1462 |
udever-bloom-1b1:
|
| 1463 |
link: https://huggingface.co/izhx/udever-bloom-1b1
|
| 1464 |
seq_len: 2048
|
|
|
|
| 1467 |
is_external: true
|
| 1468 |
is_proprietary: false
|
| 1469 |
is_sentence_transformers_compatible: true
|
| 1470 |
+
uses_instruct: false
|
| 1471 |
udever-bloom-560m:
|
| 1472 |
link: https://huggingface.co/izhx/udever-bloom-560m
|
| 1473 |
seq_len: 2048
|
|
|
|
| 1476 |
is_external: true
|
| 1477 |
is_proprietary: false
|
| 1478 |
is_sentence_transformers_compatible: true
|
| 1479 |
+
uses_instruct: false
|
| 1480 |
universal-sentence-encoder-multilingual-3:
|
| 1481 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-3
|
| 1482 |
seq_len: 512
|
|
|
|
| 1485 |
is_external: true
|
| 1486 |
is_proprietary: false
|
| 1487 |
is_sentence_transformers_compatible: true
|
| 1488 |
+
uses_instruct: false
|
| 1489 |
universal-sentence-encoder-multilingual-large-3:
|
| 1490 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-large-3
|
| 1491 |
seq_len: 512
|
|
|
|
| 1494 |
is_external: true
|
| 1495 |
is_proprietary: false
|
| 1496 |
is_sentence_transformers_compatible: true
|
| 1497 |
+
uses_instruct: false
|
| 1498 |
unsup-simcse-bert-base-uncased:
|
| 1499 |
link: https://huggingface.co/princeton-nlp/unsup-simcse-bert-base-uncased
|
| 1500 |
seq_len: 512
|
|
|
|
| 1503 |
is_external: true
|
| 1504 |
is_proprietary: false
|
| 1505 |
is_sentence_transformers_compatible: true
|
| 1506 |
+
uses_instruct: false
|
| 1507 |
use-cmlm-multilingual:
|
| 1508 |
link: https://huggingface.co/sentence-transformers/use-cmlm-multilingual
|
| 1509 |
seq_len: 512
|
|
|
|
| 1512 |
is_external: true
|
| 1513 |
is_proprietary: false
|
| 1514 |
is_sentence_transformers_compatible: true
|
| 1515 |
+
uses_instruct: false
|
| 1516 |
voyage-2:
|
| 1517 |
link: https://docs.voyageai.com/embeddings/
|
| 1518 |
seq_len: 1024
|
|
|
|
| 1521 |
is_external: true
|
| 1522 |
is_proprietary: true
|
| 1523 |
is_sentence_transformers_compatible: false
|
| 1524 |
+
uses_instruct: false
|
| 1525 |
voyage-code-2:
|
| 1526 |
link: https://docs.voyageai.com/embeddings/
|
| 1527 |
seq_len: 16000
|
|
|
|
| 1530 |
is_external: true
|
| 1531 |
is_proprietary: true
|
| 1532 |
is_sentence_transformers_compatible: false
|
| 1533 |
+
uses_instruct: false
|
| 1534 |
voyage-large-2-instruct:
|
| 1535 |
link: https://docs.voyageai.com/embeddings/
|
| 1536 |
seq_len: 16000
|
|
|
|
| 1539 |
is_external: true
|
| 1540 |
is_proprietary: false
|
| 1541 |
is_sentence_transformers_compatible: false
|
| 1542 |
+
uses_instruct: true
|
| 1543 |
voyage-law-2:
|
| 1544 |
link: https://docs.voyageai.com/embeddings/
|
| 1545 |
seq_len: 16000
|
|
|
|
| 1548 |
is_external: true
|
| 1549 |
is_proprietary: true
|
| 1550 |
is_sentence_transformers_compatible: false
|
| 1551 |
+
uses_instruct: false
|
| 1552 |
voyage-lite-01-instruct:
|
| 1553 |
link: https://docs.voyageai.com/embeddings/
|
| 1554 |
seq_len: 4000
|
|
|
|
| 1557 |
is_external: true
|
| 1558 |
is_proprietary: true
|
| 1559 |
is_sentence_transformers_compatible: false
|
| 1560 |
+
uses_instruct: true
|
| 1561 |
voyage-lite-02-instruct:
|
| 1562 |
link: https://docs.voyageai.com/embeddings/
|
| 1563 |
seq_len: 4000
|
|
|
|
| 1566 |
is_external: true
|
| 1567 |
is_proprietary: true
|
| 1568 |
is_sentence_transformers_compatible: false
|
| 1569 |
+
uses_instruct: true
|
| 1570 |
voyage-multilingual-2:
|
| 1571 |
link: https://docs.voyageai.com/embeddings/
|
| 1572 |
seq_len: 32000
|
|
|
|
| 1575 |
is_external: true
|
| 1576 |
is_proprietary: true
|
| 1577 |
is_sentence_transformers_compatible: false
|
| 1578 |
+
uses_instruct: false
|
| 1579 |
xlm-roberta-base:
|
| 1580 |
link: https://huggingface.co/xlm-roberta-base
|
| 1581 |
seq_len: 514
|
|
|
|
| 1584 |
is_external: true
|
| 1585 |
is_proprietary: false
|
| 1586 |
is_sentence_transformers_compatible: true
|
| 1587 |
+
uses_instruct: false
|
| 1588 |
xlm-roberta-large:
|
| 1589 |
link: https://huggingface.co/xlm-roberta-large
|
| 1590 |
seq_len: 514
|
|
|
|
| 1593 |
is_external: true
|
| 1594 |
is_proprietary: false
|
| 1595 |
is_sentence_transformers_compatible: true
|
| 1596 |
+
uses_instruct: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1597 |
models_to_skip:
|
| 1598 |
- michaelfeil/ct2fast-e5-large-v2
|
| 1599 |
- McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
|
refresh.py
CHANGED
|
@@ -1,7 +1,6 @@
|
|
| 1 |
from functools import reduce
|
| 2 |
import json
|
| 3 |
import os
|
| 4 |
-
import pickle
|
| 5 |
import re
|
| 6 |
|
| 7 |
from datasets import load_dataset
|
|
@@ -47,6 +46,8 @@ SENTENCE_TRANSFORMERS_COMPATIBLE_MODELS = {k for k,v in MODEL_META["model_meta"]
|
|
| 47 |
MODELS_TO_SKIP = MODEL_META["models_to_skip"]
|
| 48 |
CROSS_ENCODERS = MODEL_META["cross_encoders"]
|
| 49 |
BI_ENCODERS = [k for k, _ in MODEL_META["model_meta"].items() if k not in CROSS_ENCODERS + ["bm25"]]
|
|
|
|
|
|
|
| 50 |
|
| 51 |
|
| 52 |
|
|
@@ -87,7 +88,7 @@ def make_clickable_model(model_name, link=None):
|
|
| 87 |
|
| 88 |
|
| 89 |
def add_lang(examples):
|
| 90 |
-
if not(examples["eval_language"]):
|
| 91 |
examples["mteb_dataset_name_with_lang"] = examples["mteb_dataset_name"]
|
| 92 |
else:
|
| 93 |
examples["mteb_dataset_name_with_lang"] = examples["mteb_dataset_name"] + f' ({examples["eval_language"]})'
|
|
@@ -407,7 +408,7 @@ def refresh_leaderboard():
|
|
| 407 |
pbar_tasks = tqdm(BOARDS_CONFIG.items(), desc="Fetching leaderboard results for ???", total=len(BOARDS_CONFIG), leave=True)
|
| 408 |
for board, board_config in pbar_tasks:
|
| 409 |
# To add only a single new board, you can uncomment the below to be faster
|
| 410 |
-
|
| 411 |
boards_data[board] = {
|
| 412 |
"data_overall": None,
|
| 413 |
"data_tasks": {}
|
|
|
|
| 1 |
from functools import reduce
|
| 2 |
import json
|
| 3 |
import os
|
|
|
|
| 4 |
import re
|
| 5 |
|
| 6 |
from datasets import load_dataset
|
|
|
|
| 46 |
MODELS_TO_SKIP = MODEL_META["models_to_skip"]
|
| 47 |
CROSS_ENCODERS = MODEL_META["cross_encoders"]
|
| 48 |
BI_ENCODERS = [k for k, _ in MODEL_META["model_meta"].items() if k not in CROSS_ENCODERS + ["bm25"]]
|
| 49 |
+
INSTRUCT_MODELS = {k for k,v in MODEL_META["model_meta"].items() if v.get("uses_instruct", False)}
|
| 50 |
+
NOINSTRUCT_MODELS = {k for k,v in MODEL_META["model_meta"].items() if not v.get("uses_instruct", False)}
|
| 51 |
|
| 52 |
|
| 53 |
|
|
|
|
| 88 |
|
| 89 |
|
| 90 |
def add_lang(examples):
|
| 91 |
+
if not(examples["eval_language"]) or (examples["eval_language"] == "default"):
|
| 92 |
examples["mteb_dataset_name_with_lang"] = examples["mteb_dataset_name"]
|
| 93 |
else:
|
| 94 |
examples["mteb_dataset_name_with_lang"] = examples["mteb_dataset_name"] + f' ({examples["eval_language"]})'
|
|
|
|
| 408 |
pbar_tasks = tqdm(BOARDS_CONFIG.items(), desc="Fetching leaderboard results for ???", total=len(BOARDS_CONFIG), leave=True)
|
| 409 |
for board, board_config in pbar_tasks:
|
| 410 |
# To add only a single new board, you can uncomment the below to be faster
|
| 411 |
+
if board != "rar-b": continue
|
| 412 |
boards_data[board] = {
|
| 413 |
"data_overall": None,
|
| 414 |
"data_tasks": {}
|