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{"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}
{"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}
{"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}
{"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}
{"Rank":5,"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":56.56,"LEMBNarrativeQARetrieval":45.76,"LEMBNeedleRetrieval":40.25,"LEMBPasskeyRetrieval":46.0,"LEMBQMSumRetrieval":35.54,"LEMBSummScreenFDRetrieval":94.09,"LEMBWikimQARetrieval":77.73}
{"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}
{"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}
{"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}
{"Rank":9,"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}
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