all_data_tasks/24/default.jsonl

{"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jhu-clsp\/FollowIR-7B\">FollowIR-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":12.15,"Core17InstructionRetrieval":16.48,"News21InstructionRetrieval":6.26,"Robust04InstructionRetrieval":13.72}
{"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mistralai\/Mistral-7B-Instruct-v0.2\">mistral-7b-instruct-v0.2<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":10.15,"Core17InstructionRetrieval":13.03,"News21InstructionRetrieval":4.81,"Robust04InstructionRetrieval":12.61}
{"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google\/flan-t5-large\">flan-t5-large<\/a>","Model Size (Million Parameters)":770,"Memory Usage (GB, fp32)":2.87,"Average":4.72,"Core17InstructionRetrieval":1.32,"News21InstructionRetrieval":8.95,"Robust04InstructionRetrieval":3.9}
{"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/castorini\/monot5-3b-msmarco-10k\">monot5-3b-msmarco-10k<\/a>","Model Size (Million Parameters)":2480,"Memory Usage (GB, fp32)":9.24,"Average":2.53,"Core17InstructionRetrieval":1.84,"News21InstructionRetrieval":1.78,"Robust04InstructionRetrieval":3.96}
{"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":2.33,"Core17InstructionRetrieval":5.44,"News21InstructionRetrieval":3.94,"Robust04InstructionRetrieval":-2.4}
{"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/meta-llama\/Llama-2-7b-chat-hf\">llama-2-7b-chat<\/a>","Model Size (Million Parameters)":7000,"Memory Usage (GB, fp32)":26.08,"Average":1.69,"Core17InstructionRetrieval":2.84,"News21InstructionRetrieval":0.23,"Robust04InstructionRetrieval":2.0}
{"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/tart-full-flan-t5-xl\">tart-full-flan-t5-xl<\/a>","Model Size (Million Parameters)":2480,"Memory Usage (GB, fp32)":9.24,"Average":1.36,"Core17InstructionRetrieval":2.82,"News21InstructionRetrieval":1.99,"Robust04InstructionRetrieval":-0.72}
{"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google\/flan-t5-base\">flan-t5-base<\/a>","Model Size (Million Parameters)":220,"Memory Usage (GB, fp32)":0.82,"Average":0.64,"Core17InstructionRetrieval":-3.31,"News21InstructionRetrieval":-0.12,"Robust04InstructionRetrieval":5.35}
{"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":-0.02,"Core17InstructionRetrieval":2.62,"News21InstructionRetrieval":-1.01,"Robust04InstructionRetrieval":-1.68}
{"Rank":10,"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":-0.21,"Core17InstructionRetrieval":2.8,"News21InstructionRetrieval":0.2,"Robust04InstructionRetrieval":-3.63}
{"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":-1.06,"Core17InstructionRetrieval":0.12,"News21InstructionRetrieval":0.87,"Robust04InstructionRetrieval":-4.16}
{"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/castorini\/monot5-base-msmarco-10k\">monot5-base-msmarco-10k<\/a>","Model Size (Million Parameters)":220,"Memory Usage (GB, fp32)":0.82,"Average":-1.75,"Core17InstructionRetrieval":-4.06,"News21InstructionRetrieval":5.02,"Robust04InstructionRetrieval":-6.2}
{"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/en.wikipedia.org\/wiki\/Okapi_BM25\">bm25<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":-2.09,"Core17InstructionRetrieval":-1.06,"News21InstructionRetrieval":-2.15,"Robust04InstructionRetrieval":-3.06}
{"Rank":14,"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":-2.68,"Core17InstructionRetrieval":-0.2,"News21InstructionRetrieval":-2.03,"Robust04InstructionRetrieval":-5.81}
{"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Average":-2.76,"Core17InstructionRetrieval":0.69,"News21InstructionRetrieval":-0.9,"Robust04InstructionRetrieval":-8.08}
{"Rank":16,"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":-3.45,"Core17InstructionRetrieval":0.09,"News21InstructionRetrieval":-0.86,"Robust04InstructionRetrieval":-9.59}
{"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/castorini\/monobert-large-msmarco\">monobert-large-msmarco<\/a>","Model Size (Million Parameters)":770,"Memory Usage (GB, fp32)":2.87,"Average":-3.47,"Core17InstructionRetrieval":-0.24,"News21InstructionRetrieval":-0.8,"Robust04InstructionRetrieval":-9.36}
{"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-3.81,"Core17InstructionRetrieval":-2.48,"News21InstructionRetrieval":-2.83,"Robust04InstructionRetrieval":-6.12}
{"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-3.88,"Core17InstructionRetrieval":-2.9,"News21InstructionRetrieval":-2.0,"Robust04InstructionRetrieval":-6.73}
{"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-4.43,"Core17InstructionRetrieval":-1.09,"News21InstructionRetrieval":-1.78,"Robust04InstructionRetrieval":-10.42}
{"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/orionweller\/tart-dual-contriever-msmarco\">tart-dual-contriever-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-5.0,"Core17InstructionRetrieval":-3.04,"News21InstructionRetrieval":-2.98,"Robust04InstructionRetrieval":-8.98}