all_data_tasks/42/default.jsonl

{"index":1,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":79.17,"LEMBNarrativeQARetrieval":64.69,"LEMBNeedleRetrieval":75.25,"LEMBPasskeyRetrieval":97.0,"LEMBQMSumRetrieval":51.49,"LEMBSummScreenFDRetrieval":99.11,"LEMBWikimQARetrieval":87.49}
{"index":0,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":78.85,"LEMBNarrativeQARetrieval":55.78,"LEMBNeedleRetrieval":80.5,"LEMBPasskeyRetrieval":93.75,"LEMBQMSumRetrieval":57.26,"LEMBSummScreenFDRetrieval":98.72,"LEMBWikimQARetrieval":87.08}
{"index":6,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":64.4,"LEMBNarrativeQARetrieval":44.62,"LEMBNeedleRetrieval":48.25,"LEMBPasskeyRetrieval":71.0,"LEMBQMSumRetrieval":43.63,"LEMBSummScreenFDRetrieval":96.82,"LEMBWikimQARetrieval":82.11}
{"index":10,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":275,"Memory Usage (GB, fp32)":1.02,"Average":58.12,"LEMBNarrativeQARetrieval":37.89,"LEMBNeedleRetrieval":54.25,"LEMBPasskeyRetrieval":50.25,"LEMBQMSumRetrieval":38.87,"LEMBSummScreenFDRetrieval":93.48,"LEMBWikimQARetrieval":73.99}
{"index":2,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Average":56.56,"LEMBNarrativeQARetrieval":45.76,"LEMBNeedleRetrieval":40.25,"LEMBPasskeyRetrieval":46.0,"LEMBQMSumRetrieval":35.54,"LEMBSummScreenFDRetrieval":94.09,"LEMBWikimQARetrieval":77.73}
{"index":4,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":56.52,"LEMBNarrativeQARetrieval":30.35,"LEMBNeedleRetrieval":41.5,"LEMBPasskeyRetrieval":67.25,"LEMBQMSumRetrieval":35.6,"LEMBSummScreenFDRetrieval":95.23,"LEMBWikimQARetrieval":69.19}
{"index":11,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":547,"Memory Usage (GB, fp32)":2.04,"Average":54.81,"LEMBNarrativeQARetrieval":41.23,"LEMBNeedleRetrieval":39.5,"LEMBPasskeyRetrieval":44.75,"LEMBQMSumRetrieval":36.65,"LEMBSummScreenFDRetrieval":92.97,"LEMBWikimQARetrieval":73.75}
{"index":18,"Rank":8,"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":51.3,"LEMBNarrativeQARetrieval":44.09,"LEMBNeedleRetrieval":29.25,"LEMBPasskeyRetrieval":63.0,"LEMBQMSumRetrieval":32.49,"LEMBSummScreenFDRetrieval":84.8,"LEMBWikimQARetrieval":54.16}
{"index":3,"Rank":9,"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":47.09,"LEMBNarrativeQARetrieval":41.45,"LEMBNeedleRetrieval":33.25,"LEMBPasskeyRetrieval":38.25,"LEMBQMSumRetrieval":30.36,"LEMBSummScreenFDRetrieval":78.48,"LEMBWikimQARetrieval":60.77}
{"index":7,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.54,"LEMBNarrativeQARetrieval":23.6,"LEMBNeedleRetrieval":32.0,"LEMBPasskeyRetrieval":38.25,"LEMBQMSumRetrieval":25.16,"LEMBSummScreenFDRetrieval":68.21,"LEMBWikimQARetrieval":56.04}
{"index":8,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":40.44,"LEMBNarrativeQARetrieval":24.22,"LEMBNeedleRetrieval":28.0,"LEMBPasskeyRetrieval":38.25,"LEMBQMSumRetrieval":24.26,"LEMBSummScreenFDRetrieval":71.12,"LEMBWikimQARetrieval":56.8}
{"index":5,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":40.24,"LEMBNarrativeQARetrieval":25.31,"LEMBNeedleRetrieval":28.5,"LEMBPasskeyRetrieval":33.25,"LEMBQMSumRetrieval":23.83,"LEMBSummScreenFDRetrieval":74.67,"LEMBWikimQARetrieval":55.85}
{"index":9,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":38.83,"LEMBNarrativeQARetrieval":22.6,"LEMBNeedleRetrieval":30.75,"LEMBPasskeyRetrieval":38.25,"LEMBQMSumRetrieval":21.51,"LEMBSummScreenFDRetrieval":62.75,"LEMBWikimQARetrieval":57.13}
{"index":15,"Rank":14,"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":31.12,"LEMBNarrativeQARetrieval":19.34,"LEMBNeedleRetrieval":16.0,"LEMBPasskeyRetrieval":24.5,"LEMBQMSumRetrieval":21.54,"LEMBSummScreenFDRetrieval":60.43,"LEMBWikimQARetrieval":44.92}
{"index":14,"Rank":15,"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":29.81,"LEMBNarrativeQARetrieval":18.27,"LEMBNeedleRetrieval":20.0,"LEMBPasskeyRetrieval":23.25,"LEMBQMSumRetrieval":16.32,"LEMBSummScreenFDRetrieval":54.8,"LEMBWikimQARetrieval":46.23}
{"index":13,"Rank":16,"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":25.26,"LEMBNarrativeQARetrieval":19.64,"LEMBNeedleRetrieval":12.25,"LEMBPasskeyRetrieval":14.75,"LEMBQMSumRetrieval":13.08,"LEMBSummScreenFDRetrieval":46.98,"LEMBWikimQARetrieval":44.88}
{"index":12,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":21.94,"LEMBNarrativeQARetrieval":11.45,"LEMBNeedleRetrieval":17.5,"LEMBPasskeyRetrieval":20.0,"LEMBQMSumRetrieval":14.07,"LEMBSummScreenFDRetrieval":40.52,"LEMBWikimQARetrieval":28.1}
{"index":17,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":21.67,"LEMBNarrativeQARetrieval":16.02,"LEMBNeedleRetrieval":14.0,"LEMBPasskeyRetrieval":7.75,"LEMBQMSumRetrieval":12.23,"LEMBSummScreenFDRetrieval":41.15,"LEMBWikimQARetrieval":38.86}
{"index":16,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":20.92,"LEMBNarrativeQARetrieval":13.82,"LEMBNeedleRetrieval":13.5,"LEMBPasskeyRetrieval":8.25,"LEMBQMSumRetrieval":11.02,"LEMBSummScreenFDRetrieval":38.12,"LEMBWikimQARetrieval":40.84}