sentence_similarity_energyscore.csv

,model,total_gpu_energy,energy_score
0,mixedbread-ai/mxbai-embed-large-v1,0.0005904003056571,5
1,thenlper/gte-base,0.0002454171407777,5
2,thenlper/gte-large,0.0005946326979277,5
3,BAAI/bge-base-en-v1.5,0.0002504571170319,5
4,BAAI/bge-small-en-v1.5,0.0001939280440325,5
5,Salesforce/SFR-Embedding-Mistral,0.0052209443434179,1
6,intfloat/e5-large-v2,0.0006023414263211,5
7,intfloat/e5-base-v2,0.0002532799804022,5
8,intfloat/multilingual-e5-large-instruct,0.0007218294107957,5
9,GritLM/GritLM-7B,0.0050252322424057,1
10,izhx/udever-bloom-3b,0.0021527379999682,3
11,izhx/udever-bloom-7b1,0.0047042013189127,1
12,izhx/udever-bloom-1b1,0.0009687734694622,5
13,WhereIsAI/UAE-Large-V1,0.0006006388138438,5
14,llmrails/ember-v1,0.0005760768775282,5
15,nomic-ai/nomic-embed-text-v1,0.0003804615821451,5
16,avsolatorio/GIST-Embedding-v0,0.0002582692343928,5
17,avsolatorio/GIST-large-Embedding-v0,0.0005776570454585,5
18,avsolatorio/GIST-all-MiniLM-L6-v2,0.0001063285017295,5