Hugging Face's logo

Spaces:
Thun09
/
leaderboard_demo
Running

App Files Community
leaderboard_demo
File size: 16,346 Bytes 
b09e97c
 
 
 
 
e8414e7
b09e97c
e8414e7
b09e97c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
 
{"index":63,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.3\">sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":32.46}
{"index":53,"Rank":2,"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,"SummEvalFr":32.22}
{"index":57,"Rank":3,"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,"SummEvalFr":31.85}
{"index":28,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large-8k\">bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":31.62}
{"index":79,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"SummEvalFr":31.59}
{"index":5,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"SummEvalFr":31.56}
{"index":29,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEvalFr":31.55}
{"index":0,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.47}
{"index":84,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/soichisumi\/gte-Qwen2-7B-instruct-Q8_0-GGUF\">gte-Qwen2-7B-instruct-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.45}
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"SummEvalFr":31.45}
{"index":36,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Yingda\/gte-Qwen2-7B-instruct-Q5_K_M-GGUF\">gte-Qwen2-7B-instruct-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.45}
{"index":15,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.4}
{"index":48,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":31.26}
{"index":11,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"SummEvalFr":31.26}
{"index":16,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.26}
{"index":55,"Rank":16,"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,"SummEvalFr":30.92}
{"index":44,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"SummEvalFr":30.88}
{"index":1,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.88}
{"index":54,"Rank":19,"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,"SummEvalFr":30.76}
{"index":52,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.72}
{"index":8,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"SummEvalFr":30.5}
{"index":92,"Rank":22,"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)":"","SummEvalFr":30.5}
{"index":80,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEvalFr":30.39}
{"index":3,"Rank":24,"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)":"","SummEvalFr":30.34}
{"index":27,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":30.3}
{"index":61,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.28}
{"index":62,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.27}
{"index":78,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.23}
{"index":64,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.22}
{"index":26,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":30.16}
{"index":65,"Rank":31,"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,"SummEvalFr":30.16}
{"index":60,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":30.13}
{"index":77,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":30.01}
{"index":4,"Rank":34,"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)":"","SummEvalFr":29.96}
{"index":10,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"SummEvalFr":29.74}
{"index":34,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrdalieTech\/Solon-embeddings-large-0.1\">Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":29.69}
{"index":91,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.65}
{"index":58,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.48}
{"index":76,"Rank":39,"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,"SummEvalFr":29.47}
{"index":49,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.43}
{"index":86,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/spaces\/mteb\/leaderboard\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.33}
{"index":50,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_large_cased\">flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"SummEvalFr":29.25}
{"index":75,"Rank":43,"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,"SummEvalFr":29.2}
{"index":89,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.14}
{"index":21,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.13}
{"index":20,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.06}
{"index":35,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Wissam42\/sentence-croissant-llm-base\">sentence-croissant-llm-base<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":29.04}
{"index":90,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":28.89}
{"index":22,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":28.84}
{"index":51,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"SummEvalFr":28.81}
{"index":43,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":28.77}
{"index":7,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-occiglot-mntp\">llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.72}
{"index":88,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.56}
{"index":2,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.34}
{"index":67,"Rank":55,"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,"SummEvalFr":28.28}
{"index":87,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.21}
{"index":71,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"SummEvalFr":28.12}
{"index":74,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":27.59}
{"index":59,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":23.63}