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Rename
Browse files- EXTERNAL_MODEL_RESULTS.json +20 -20
- all_data_tasks/0/default.jsonl +2 -2
- all_data_tasks/1/default.jsonl +2 -2
- all_data_tasks/10/default.jsonl +2 -2
- all_data_tasks/11/default.jsonl +2 -2
- all_data_tasks/12/default.jsonl +2 -2
- all_data_tasks/13/default.jsonl +2 -2
- all_data_tasks/2/default.jsonl +2 -2
- all_data_tasks/24/default.jsonl +1 -1
- all_data_tasks/3/default.jsonl +2 -2
- all_data_tasks/4/default.jsonl +2 -2
- all_data_tasks/40/default.jsonl +2 -2
- all_data_tasks/44/default.jsonl +1 -1
- all_data_tasks/45/default.jsonl +1 -1
- all_data_tasks/5/default.jsonl +2 -2
- all_data_tasks/6/default.jsonl +2 -2
- all_data_tasks/8/default.jsonl +2 -2
- all_data_tasks/9/default.jsonl +2 -2
- app.py +0 -0
- boards_data/bright/data_tasks/Retrieval/default.jsonl +1 -1
- boards_data/bright_long/data_tasks/Retrieval/default.jsonl +1 -1
- boards_data/en/data_overall/default.jsonl +2 -2
- boards_data/en/data_tasks/Classification/default.jsonl +2 -2
- boards_data/en/data_tasks/Clustering/default.jsonl +2 -2
- boards_data/en/data_tasks/PairClassification/default.jsonl +2 -2
- boards_data/en/data_tasks/Reranking/default.jsonl +2 -2
- boards_data/en/data_tasks/Retrieval/default.jsonl +2 -2
- boards_data/en/data_tasks/STS/default.jsonl +2 -2
- boards_data/en/data_tasks/Summarization/default.jsonl +2 -2
- boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl +1 -1
- boards_data/other-sts/data_tasks/STS/default.jsonl +2 -2
- boards_data/zh/data_overall/default.jsonl +2 -2
- boards_data/zh/data_tasks/Classification/default.jsonl +2 -2
- boards_data/zh/data_tasks/Clustering/default.jsonl +2 -2
- boards_data/zh/data_tasks/PairClassification/default.jsonl +2 -2
- boards_data/zh/data_tasks/Reranking/default.jsonl +2 -2
- boards_data/zh/data_tasks/Retrieval/default.jsonl +2 -2
- boards_data/zh/data_tasks/STS/default.jsonl +2 -2
- model_meta.yaml +2 -2
- refresh.py +1 -0
EXTERNAL_MODEL_RESULTS.json
CHANGED
@@ -7578,14 +7578,14 @@
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"p-MRR": []
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}
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},
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"google-gecko__text-embedding-preview-
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"Classification": {
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{
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@@ -7604,7 +7604,7 @@
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"Clustering": {
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"v_measure": [
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{
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"Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models\">text-embedding-preview-
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@@ -7622,13 +7622,13 @@
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"PairClassification": {
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"max_ap": [
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{
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@@ -7638,7 +7638,7 @@
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"Reranking": {
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@@ -7681,7 +7681,7 @@
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"recall_at_1": [
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{
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@@ -7696,7 +7696,7 @@
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"STS": {
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{
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"Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models\">text-embedding-preview-
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"BIOSSES": 89.46,
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"SICK-R": 81.93,
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"STS12": 77.59,
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@@ -7713,7 +7713,7 @@
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"Summarization": {
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"cosine_spearman": [
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{
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"Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models\">text-embedding-preview-
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@@ -7724,7 +7724,7 @@
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{
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@@ -7732,14 +7732,14 @@
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@@ -7758,7 +7758,7 @@
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@@ -7776,13 +7776,13 @@
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@@ -7803,7 +7803,7 @@
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@@ -7825,7 +7825,7 @@
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@@ -7842,7 +7842,7 @@
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7845 |
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"Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models\">text-embedding-preview-004-256</a>",
|
7846 |
"SummEval": 32.36
|
7847 |
}
|
7848 |
]
|
all_data_tasks/0/default.jsonl
CHANGED
@@ -10,11 +10,11 @@
|
|
10 |
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|
11 |
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12 |
{"index":6,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":81.49,"AmazonCounterfactualClassification (en)":77.6,"AmazonPolarityClassification":96.58,"AmazonReviewsClassification (en)":50.77,"Banking77Classification":86.96,"EmotionClassification":59.81,"ImdbClassification":96.13,"MassiveIntentClassification (en)":81.08,"MassiveScenarioClassification (en)":87.95,"MTOPDomainClassification (en)":98.86,"MTOPIntentClassification (en)":86.97,"ToxicConversationsClassification":83.58,"TweetSentimentExtractionClassification":71.55}
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13 |
-
{"index":1,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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14 |
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|
15 |
{"index":15,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":79.6,"AmazonCounterfactualClassification (en)":83.16,"AmazonPolarityClassification":96.7,"AmazonReviewsClassification (en)":62.17,"Banking77Classification":81.68,"EmotionClassification":54.53,"ImdbClassification":95.58,"MassiveIntentClassification (en)":78.47,"MassiveScenarioClassification (en)":78.19,"MTOPDomainClassification (en)":95.75,"MTOPIntentClassification (en)":84.26,"ToxicConversationsClassification":78.75,"TweetSentimentExtractionClassification":66.0}
|
16 |
{"index":9,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":79.25,"AmazonCounterfactualClassification (en)":88.31,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":56.25,"Banking77Classification":88.59,"EmotionClassification":50.28,"ImdbClassification":95.75,"MassiveIntentClassification (en)":73.97,"MassiveScenarioClassification (en)":83.99,"MTOPDomainClassification (en)":97.65,"MTOPIntentClassification (en)":75.16,"ToxicConversationsClassification":81.75,"TweetSentimentExtractionClassification":62.98}
|
17 |
-
{"index":0,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
18 |
{"index":280,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.77,"AmazonCounterfactualClassification (en)":77.76,"AmazonPolarityClassification":96.62,"AmazonReviewsClassification (en)":59.26,"Banking77Classification":83.11,"EmotionClassification":57.72,"ImdbClassification":95.5,"MassiveIntentClassification (en)":77.31,"MassiveScenarioClassification (en)":79.98,"MTOPDomainClassification (en)":96.35,"MTOPIntentClassification (en)":80.52,"ToxicConversationsClassification":75.88,"TweetSentimentExtractionClassification":65.22}
|
19 |
{"index":45,"Rank":19,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":78.65,"AmazonCounterfactualClassification (en)":80.54,"AmazonPolarityClassification":96.64,"AmazonReviewsClassification (en)":59.91,"Banking77Classification":84.44,"EmotionClassification":56.01,"ImdbClassification":95.07,"MassiveIntentClassification (en)":79.1,"MassiveScenarioClassification (en)":80.37,"MTOPDomainClassification (en)":95.37,"MTOPIntentClassification (en)":81.23,"ToxicConversationsClassification":68.81,"TweetSentimentExtractionClassification":66.26}
|
20 |
{"index":46,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.53,"AmazonCounterfactualClassification (en)":80.48,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":57.18,"Banking77Classification":87.46,"EmotionClassification":50.06,"ImdbClassification":94.32,"MassiveIntentClassification (en)":79.72,"MassiveScenarioClassification (en)":81.09,"MTOPDomainClassification (en)":95.29,"MTOPIntentClassification (en)":87.08,"ToxicConversationsClassification":70.89,"TweetSentimentExtractionClassification":62.48}
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|
|
10 |
{"index":16,"Rank":10,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.47,"AmazonCounterfactualClassification (en)":83.99,"AmazonPolarityClassification":96.61,"AmazonReviewsClassification (en)":55.61,"Banking77Classification":87.31,"EmotionClassification":61.37,"ImdbClassification":95.83,"MassiveIntentClassification (en)":82.4,"MassiveScenarioClassification (en)":84.5,"MTOPDomainClassification (en)":97.69,"MTOPIntentClassification (en)":88.76,"ToxicConversationsClassification":82.66,"TweetSentimentExtractionClassification":72.95}
|
11 |
{"index":191,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.7,"AmazonCounterfactualClassification (en)":87.01,"AmazonPolarityClassification":94.65,"AmazonReviewsClassification (en)":55.76,"Banking77Classification":88.6,"EmotionClassification":74.86,"ImdbClassification":93.59,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":78.93,"MTOPDomainClassification (en)":96.04,"MTOPIntentClassification (en)":89.13,"ToxicConversationsClassification":72.82,"TweetSentimentExtractionClassification":72.54}
|
12 |
{"index":6,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":81.49,"AmazonCounterfactualClassification (en)":77.6,"AmazonPolarityClassification":96.58,"AmazonReviewsClassification (en)":50.77,"Banking77Classification":86.96,"EmotionClassification":59.81,"ImdbClassification":96.13,"MassiveIntentClassification (en)":81.08,"MassiveScenarioClassification (en)":87.95,"MTOPDomainClassification (en)":98.86,"MTOPIntentClassification (en)":86.97,"ToxicConversationsClassification":83.58,"TweetSentimentExtractionClassification":71.55}
|
13 |
+
{"index":1,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":81.17,"AmazonCounterfactualClassification (en)":75.34,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":51.17,"Banking77Classification":88.62,"EmotionClassification":52.51,"ImdbClassification":95.65,"MassiveIntentClassification (en)":80.22,"MassiveScenarioClassification (en)":87.19,"MTOPDomainClassification (en)":98.35,"MTOPIntentClassification (en)":83.43,"ToxicConversationsClassification":89.67,"TweetSentimentExtractionClassification":74.52}
|
14 |
{"index":61,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.2,"AmazonCounterfactualClassification (en)":84.43,"AmazonPolarityClassification":95.7,"AmazonReviewsClassification (en)":57.64,"Banking77Classification":87.88,"EmotionClassification":51.82,"ImdbClassification":94.78,"MassiveIntentClassification (en)":82.67,"MassiveScenarioClassification (en)":85.01,"MTOPDomainClassification (en)":96.83,"MTOPIntentClassification (en)":89.57,"ToxicConversationsClassification":71.29,"TweetSentimentExtractionClassification":64.76}
|
15 |
{"index":15,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":79.6,"AmazonCounterfactualClassification (en)":83.16,"AmazonPolarityClassification":96.7,"AmazonReviewsClassification (en)":62.17,"Banking77Classification":81.68,"EmotionClassification":54.53,"ImdbClassification":95.58,"MassiveIntentClassification (en)":78.47,"MassiveScenarioClassification (en)":78.19,"MTOPDomainClassification (en)":95.75,"MTOPIntentClassification (en)":84.26,"ToxicConversationsClassification":78.75,"TweetSentimentExtractionClassification":66.0}
|
16 |
{"index":9,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":79.25,"AmazonCounterfactualClassification (en)":88.31,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":56.25,"Banking77Classification":88.59,"EmotionClassification":50.28,"ImdbClassification":95.75,"MassiveIntentClassification (en)":73.97,"MassiveScenarioClassification (en)":83.99,"MTOPDomainClassification (en)":97.65,"MTOPIntentClassification (en)":75.16,"ToxicConversationsClassification":81.75,"TweetSentimentExtractionClassification":62.98}
|
17 |
+
{"index":0,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":79.0,"AmazonCounterfactualClassification (en)":70.93,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":48.47,"Banking77Classification":86.01,"EmotionClassification":51.53,"ImdbClassification":95.7,"MassiveIntentClassification (en)":75.67,"MassiveScenarioClassification (en)":85.16,"MTOPDomainClassification (en)":98.02,"MTOPIntentClassification (en)":77.82,"ToxicConversationsClassification":88.33,"TweetSentimentExtractionClassification":72.97}
|
18 |
{"index":280,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.77,"AmazonCounterfactualClassification (en)":77.76,"AmazonPolarityClassification":96.62,"AmazonReviewsClassification (en)":59.26,"Banking77Classification":83.11,"EmotionClassification":57.72,"ImdbClassification":95.5,"MassiveIntentClassification (en)":77.31,"MassiveScenarioClassification (en)":79.98,"MTOPDomainClassification (en)":96.35,"MTOPIntentClassification (en)":80.52,"ToxicConversationsClassification":75.88,"TweetSentimentExtractionClassification":65.22}
|
19 |
{"index":45,"Rank":19,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":78.65,"AmazonCounterfactualClassification (en)":80.54,"AmazonPolarityClassification":96.64,"AmazonReviewsClassification (en)":59.91,"Banking77Classification":84.44,"EmotionClassification":56.01,"ImdbClassification":95.07,"MassiveIntentClassification (en)":79.1,"MassiveScenarioClassification (en)":80.37,"MTOPDomainClassification (en)":95.37,"MTOPIntentClassification (en)":81.23,"ToxicConversationsClassification":68.81,"TweetSentimentExtractionClassification":66.26}
|
20 |
{"index":46,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.53,"AmazonCounterfactualClassification (en)":80.48,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":57.18,"Banking77Classification":87.46,"EmotionClassification":50.06,"ImdbClassification":94.32,"MassiveIntentClassification (en)":79.72,"MassiveScenarioClassification (en)":81.09,"MTOPDomainClassification (en)":95.29,"MTOPIntentClassification (en)":87.08,"ToxicConversationsClassification":70.89,"TweetSentimentExtractionClassification":62.48}
|
all_data_tasks/1/default.jsonl
CHANGED
@@ -20,7 +20,7 @@
|
|
20 |
{"index":191,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.4,"ArxivClusteringP2P":48.55,"ArxivClusteringS2S":40.59,"BiorxivClusteringP2P":44.78,"BiorxivClusteringS2S":38.16,"MedrxivClusteringP2P":37.5,"MedrxivClusteringS2S":35.73,"RedditClustering":59.36,"RedditClusteringP2P":64.68,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":38.98,"TwentyNewsgroupsClustering":57.42}
|
21 |
{"index":19,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91}
|
22 |
{"index":228,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
|
23 |
-
{"index":1,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
24 |
{"index":32,"Rank":24,"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)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64}
|
25 |
{"index":8,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":47.4,"ArxivClusteringP2P":47.92,"ArxivClusteringS2S":42.42,"BiorxivClusteringP2P":38.72,"BiorxivClusteringS2S":36.6,"MedrxivClusteringP2P":34.04,"MedrxivClusteringS2S":32.81,"RedditClustering":61.56,"RedditClusteringP2P":65.35,"StackExchangeClustering":70.16,"StackExchangeClusteringP2P":38.23,"TwentyNewsgroupsClustering":53.56}
|
26 |
{"index":91,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":47.1,"ArxivClusteringP2P":46.4,"ArxivClusteringS2S":40.49,"BiorxivClusteringP2P":40.94,"BiorxivClusteringS2S":36.28,"MedrxivClusteringP2P":36.93,"MedrxivClusteringS2S":35.54,"RedditClustering":56.6,"RedditClusteringP2P":64.27,"StackExchangeClustering":66.85,"StackExchangeClusteringP2P":42.46,"TwentyNewsgroupsClustering":51.33}
|
@@ -54,7 +54,7 @@
|
|
54 |
{"index":66,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
|
55 |
{"index":118,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/kalm-embedding-multilingual-mini\">kalm-embedding-multilingual-mini<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.22,"ArxivClusteringP2P":47.38,"ArxivClusteringS2S":38.89,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":33.32,"MedrxivClusteringP2P":34.19,"MedrxivClusteringS2S":32.3,"RedditClustering":56.68,"RedditClusteringP2P":64.65,"StackExchangeClustering":66.98,"StackExchangeClusteringP2P":34.35,"TwentyNewsgroupsClustering":49.19}
|
56 |
{"index":189,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":45.21,"ArxivClusteringP2P":46.66,"ArxivClusteringS2S":39.27,"BiorxivClusteringP2P":38.19,"BiorxivClusteringS2S":34.42,"MedrxivClusteringP2P":34.8,"MedrxivClusteringS2S":32.42,"RedditClustering":55.4,"RedditClusteringP2P":62.87,"StackExchangeClustering":65.66,"StackExchangeClusteringP2P":35.08,"TwentyNewsgroupsClustering":52.49}
|
57 |
-
{"index":0,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
58 |
{"index":205,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.06,"ArxivClusteringP2P":48.5,"ArxivClusteringS2S":42.01,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":35.65,"MedrxivClusteringP2P":32.8,"MedrxivClusteringS2S":30.96,"RedditClustering":55.69,"RedditClusteringP2P":62.33,"StackExchangeClustering":64.81,"StackExchangeClusteringP2P":34.08,"TwentyNewsgroupsClustering":49.5}
|
59 |
{"index":131,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.95,"ArxivClusteringP2P":47.78,"ArxivClusteringS2S":40.13,"BiorxivClusteringP2P":39.4,"BiorxivClusteringS2S":35.1,"MedrxivClusteringP2P":34.71,"MedrxivClusteringS2S":32.15,"RedditClustering":55.4,"RedditClusteringP2P":61.23,"StackExchangeClustering":62.05,"StackExchangeClusteringP2P":36.65,"TwentyNewsgroupsClustering":49.86}
|
60 |
{"index":163,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.9,"ArxivClusteringP2P":47.24,"ArxivClusteringS2S":40.47,"BiorxivClusteringP2P":39.56,"BiorxivClusteringS2S":35.91,"MedrxivClusteringP2P":33.25,"MedrxivClusteringS2S":31.96,"RedditClustering":55.07,"RedditClusteringP2P":62.12,"StackExchangeClustering":64.47,"StackExchangeClusteringP2P":33.8,"TwentyNewsgroupsClustering":50.08}
|
|
|
20 |
{"index":191,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.4,"ArxivClusteringP2P":48.55,"ArxivClusteringS2S":40.59,"BiorxivClusteringP2P":44.78,"BiorxivClusteringS2S":38.16,"MedrxivClusteringP2P":37.5,"MedrxivClusteringS2S":35.73,"RedditClustering":59.36,"RedditClusteringP2P":64.68,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":38.98,"TwentyNewsgroupsClustering":57.42}
|
21 |
{"index":19,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91}
|
22 |
{"index":228,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
|
23 |
+
{"index":1,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":47.48,"ArxivClusteringP2P":46.27,"ArxivClusteringS2S":38.36,"BiorxivClusteringP2P":37.87,"BiorxivClusteringS2S":35.67,"MedrxivClusteringP2P":33.11,"MedrxivClusteringS2S":31.54,"RedditClustering":65.81,"RedditClusteringP2P":66.62,"StackExchangeClustering":74.52,"StackExchangeClusteringP2P":37.63,"TwentyNewsgroupsClustering":54.87}
|
24 |
{"index":32,"Rank":24,"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)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64}
|
25 |
{"index":8,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":47.4,"ArxivClusteringP2P":47.92,"ArxivClusteringS2S":42.42,"BiorxivClusteringP2P":38.72,"BiorxivClusteringS2S":36.6,"MedrxivClusteringP2P":34.04,"MedrxivClusteringS2S":32.81,"RedditClustering":61.56,"RedditClusteringP2P":65.35,"StackExchangeClustering":70.16,"StackExchangeClusteringP2P":38.23,"TwentyNewsgroupsClustering":53.56}
|
26 |
{"index":91,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":47.1,"ArxivClusteringP2P":46.4,"ArxivClusteringS2S":40.49,"BiorxivClusteringP2P":40.94,"BiorxivClusteringS2S":36.28,"MedrxivClusteringP2P":36.93,"MedrxivClusteringS2S":35.54,"RedditClustering":56.6,"RedditClusteringP2P":64.27,"StackExchangeClustering":66.85,"StackExchangeClusteringP2P":42.46,"TwentyNewsgroupsClustering":51.33}
|
|
|
54 |
{"index":66,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
|
55 |
{"index":118,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/kalm-embedding-multilingual-mini\">kalm-embedding-multilingual-mini<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.22,"ArxivClusteringP2P":47.38,"ArxivClusteringS2S":38.89,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":33.32,"MedrxivClusteringP2P":34.19,"MedrxivClusteringS2S":32.3,"RedditClustering":56.68,"RedditClusteringP2P":64.65,"StackExchangeClustering":66.98,"StackExchangeClusteringP2P":34.35,"TwentyNewsgroupsClustering":49.19}
|
56 |
{"index":189,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":45.21,"ArxivClusteringP2P":46.66,"ArxivClusteringS2S":39.27,"BiorxivClusteringP2P":38.19,"BiorxivClusteringS2S":34.42,"MedrxivClusteringP2P":34.8,"MedrxivClusteringS2S":32.42,"RedditClustering":55.4,"RedditClusteringP2P":62.87,"StackExchangeClustering":65.66,"StackExchangeClusteringP2P":35.08,"TwentyNewsgroupsClustering":52.49}
|
57 |
+
{"index":0,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":45.07,"ArxivClusteringP2P":44.12,"ArxivClusteringS2S":36.54,"BiorxivClusteringP2P":36.28,"BiorxivClusteringS2S":33.09,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":30.84,"RedditClustering":62.24,"RedditClusteringP2P":63.7,"StackExchangeClustering":70.19,"StackExchangeClusteringP2P":36.1,"TwentyNewsgroupsClustering":50.6}
|
58 |
{"index":205,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.06,"ArxivClusteringP2P":48.5,"ArxivClusteringS2S":42.01,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":35.65,"MedrxivClusteringP2P":32.8,"MedrxivClusteringS2S":30.96,"RedditClustering":55.69,"RedditClusteringP2P":62.33,"StackExchangeClustering":64.81,"StackExchangeClusteringP2P":34.08,"TwentyNewsgroupsClustering":49.5}
|
59 |
{"index":131,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.95,"ArxivClusteringP2P":47.78,"ArxivClusteringS2S":40.13,"BiorxivClusteringP2P":39.4,"BiorxivClusteringS2S":35.1,"MedrxivClusteringP2P":34.71,"MedrxivClusteringS2S":32.15,"RedditClustering":55.4,"RedditClusteringP2P":61.23,"StackExchangeClustering":62.05,"StackExchangeClusteringP2P":36.65,"TwentyNewsgroupsClustering":49.86}
|
60 |
{"index":163,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.9,"ArxivClusteringP2P":47.24,"ArxivClusteringS2S":40.47,"BiorxivClusteringP2P":39.56,"BiorxivClusteringS2S":35.91,"MedrxivClusteringP2P":33.25,"MedrxivClusteringS2S":31.96,"RedditClustering":55.07,"RedditClusteringP2P":62.12,"StackExchangeClustering":64.47,"StackExchangeClusteringP2P":33.8,"TwentyNewsgroupsClustering":50.08}
|
all_data_tasks/10/default.jsonl
CHANGED
@@ -68,8 +68,8 @@
|
|
68 |
{"index":236,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/m3e-ernie-xbase-zh\">m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":62.84,"Cmnli":65.68,"Ocnli":59.99}
|
69 |
{"index":171,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.52,"Cmnli":61.86,"Ocnli":55.18}
|
70 |
{"index":304,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":56.7,"Cmnli":57.78,"Ocnli":55.63}
|
71 |
-
{"index":0,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
72 |
-
{"index":1,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
73 |
{"index":2,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","Cmnli":"","Ocnli":""}
|
74 |
{"index":3,"Rank":74,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","Cmnli":"","Ocnli":""}
|
75 |
{"index":4,"Rank":75,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","Cmnli":"","Ocnli":""}
|
|
|
68 |
{"index":236,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/m3e-ernie-xbase-zh\">m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":62.84,"Cmnli":65.68,"Ocnli":59.99}
|
69 |
{"index":171,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.52,"Cmnli":61.86,"Ocnli":55.18}
|
70 |
{"index":304,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":56.7,"Cmnli":57.78,"Ocnli":55.63}
|
71 |
+
{"index":0,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""}
|
72 |
+
{"index":1,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""}
|
73 |
{"index":2,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","Cmnli":"","Ocnli":""}
|
74 |
{"index":3,"Rank":74,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","Cmnli":"","Ocnli":""}
|
75 |
{"index":4,"Rank":75,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","Cmnli":"","Ocnli":""}
|
all_data_tasks/11/default.jsonl
CHANGED
@@ -81,8 +81,8 @@
|
|
81 |
{"index":49,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.91,"CMedQAv1":50.19,"CMedQAv2":50.39,"MMarcoReranking":14.57,"T2Reranking":64.49}
|
82 |
{"index":171,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":32.84,"CMedQAv1":34.31,"CMedQAv2":35.88,"MMarcoReranking":5.83,"T2Reranking":55.35}
|
83 |
{"index":304,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":25.86,"CMedQAv1":19.72,"CMedQAv2":22.48,"MMarcoReranking":1.17,"T2Reranking":60.05}
|
84 |
-
{"index":0,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
85 |
-
{"index":1,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
86 |
{"index":2,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
87 |
{"index":3,"Rank":87,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
88 |
{"index":4,"Rank":88,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
|
|
81 |
{"index":49,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.91,"CMedQAv1":50.19,"CMedQAv2":50.39,"MMarcoReranking":14.57,"T2Reranking":64.49}
|
82 |
{"index":171,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":32.84,"CMedQAv1":34.31,"CMedQAv2":35.88,"MMarcoReranking":5.83,"T2Reranking":55.35}
|
83 |
{"index":304,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":25.86,"CMedQAv1":19.72,"CMedQAv2":22.48,"MMarcoReranking":1.17,"T2Reranking":60.05}
|
84 |
+
{"index":0,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
85 |
+
{"index":1,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
86 |
{"index":2,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
87 |
{"index":3,"Rank":87,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
88 |
{"index":4,"Rank":88,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
all_data_tasks/12/default.jsonl
CHANGED
@@ -85,8 +85,8 @@
|
|
85 |
{"index":304,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":4.52,"CmedqaRetrieval":2.22,"CovidRetrieval":2.32,"DuRetrieval":5.86,"EcomRetrieval":10.37,"MedicalRetrieval":2.37,"MMarcoRetrieval":3.64,"T2Retrieval":4.64,"VideoRetrieval":4.77}
|
86 |
{"index":271,"Rank":86,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":4.36,"CmedqaRetrieval":2.0,"CovidRetrieval":3.7,"DuRetrieval":4.92,"EcomRetrieval":3.94,"MedicalRetrieval":1.71,"MMarcoRetrieval":7.13,"T2Retrieval":2.98,"VideoRetrieval":8.48}
|
87 |
{"index":270,"Rank":87,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":3.62,"CmedqaRetrieval":2.03,"CovidRetrieval":0.8,"DuRetrieval":3.03,"EcomRetrieval":3.7,"MedicalRetrieval":1.76,"MMarcoRetrieval":6.21,"T2Retrieval":1.6,"VideoRetrieval":9.79}
|
88 |
-
{"index":0,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
89 |
-
{"index":1,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
90 |
{"index":2,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
|
91 |
{"index":3,"Rank":91,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
|
92 |
{"index":4,"Rank":92,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
|
|
|
85 |
{"index":304,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":4.52,"CmedqaRetrieval":2.22,"CovidRetrieval":2.32,"DuRetrieval":5.86,"EcomRetrieval":10.37,"MedicalRetrieval":2.37,"MMarcoRetrieval":3.64,"T2Retrieval":4.64,"VideoRetrieval":4.77}
|
86 |
{"index":271,"Rank":86,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":4.36,"CmedqaRetrieval":2.0,"CovidRetrieval":3.7,"DuRetrieval":4.92,"EcomRetrieval":3.94,"MedicalRetrieval":1.71,"MMarcoRetrieval":7.13,"T2Retrieval":2.98,"VideoRetrieval":8.48}
|
87 |
{"index":270,"Rank":87,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":3.62,"CmedqaRetrieval":2.03,"CovidRetrieval":0.8,"DuRetrieval":3.03,"EcomRetrieval":3.7,"MedicalRetrieval":1.76,"MMarcoRetrieval":6.21,"T2Retrieval":1.6,"VideoRetrieval":9.79}
|
88 |
+
{"index":0,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
|
89 |
+
{"index":1,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
|
90 |
{"index":2,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
|
91 |
{"index":3,"Rank":91,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
|
92 |
{"index":4,"Rank":92,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
|
all_data_tasks/13/default.jsonl
CHANGED
@@ -64,8 +64,8 @@
|
|
64 |
{"index":49,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84}
|
65 |
{"index":171,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":36.48,"AFQMC":17.63,"ATEC":26.18,"BQ":37.66,"LCQMC":50.11,"PAWSX":32.75,"QBQTC":24.48,"STS22 (zh)":52.82,"STSB":50.18}
|
66 |
{"index":304,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":20.86,"AFQMC":3.76,"ATEC":10.09,"BQ":19.31,"LCQMC":42.15,"PAWSX":6.14,"QBQTC":6.12,"STS22 (zh)":33.7,"STSB":45.6}
|
67 |
-
{"index":0,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
68 |
-
{"index":1,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
69 |
{"index":2,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
70 |
{"index":3,"Rank":70,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
71 |
{"index":4,"Rank":71,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
|
|
64 |
{"index":49,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84}
|
65 |
{"index":171,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":36.48,"AFQMC":17.63,"ATEC":26.18,"BQ":37.66,"LCQMC":50.11,"PAWSX":32.75,"QBQTC":24.48,"STS22 (zh)":52.82,"STSB":50.18}
|
66 |
{"index":304,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":20.86,"AFQMC":3.76,"ATEC":10.09,"BQ":19.31,"LCQMC":42.15,"PAWSX":6.14,"QBQTC":6.12,"STS22 (zh)":33.7,"STSB":45.6}
|
67 |
+
{"index":0,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
68 |
+
{"index":1,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
69 |
{"index":2,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
70 |
{"index":3,"Rank":70,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
71 |
{"index":4,"Rank":71,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
all_data_tasks/2/default.jsonl
CHANGED
@@ -12,13 +12,13 @@
|
|
12 |
{"index":70,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.99,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":80.6,"TwitterURLCorpus":86.56}
|
13 |
{"index":68,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":87.79,"SprintDuplicateQuestions":95.09,"TwitterSemEval2015":81.73,"TwitterURLCorpus":86.56}
|
14 |
{"index":151,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46}
|
15 |
-
{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
16 |
{"index":16,"Rank":16,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58}
|
17 |
{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.41,"SprintDuplicateQuestions":96.07,"TwitterSemEval2015":79.36,"TwitterURLCorpus":86.79}
|
18 |
{"index":104,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
19 |
{"index":195,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
20 |
{"index":190,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5}
|
21 |
-
{"index":0,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
22 |
{"index":45,"Rank":22,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":87.29,"SprintDuplicateQuestions":93.35,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.43}
|
23 |
{"index":116,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33}
|
24 |
{"index":203,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
|
|
12 |
{"index":70,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.99,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":80.6,"TwitterURLCorpus":86.56}
|
13 |
{"index":68,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":87.79,"SprintDuplicateQuestions":95.09,"TwitterSemEval2015":81.73,"TwitterURLCorpus":86.56}
|
14 |
{"index":151,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46}
|
15 |
+
{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53}
|
16 |
{"index":16,"Rank":16,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58}
|
17 |
{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.41,"SprintDuplicateQuestions":96.07,"TwitterSemEval2015":79.36,"TwitterURLCorpus":86.79}
|
18 |
{"index":104,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
19 |
{"index":195,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
20 |
{"index":190,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5}
|
21 |
+
{"index":0,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12}
|
22 |
{"index":45,"Rank":22,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":87.29,"SprintDuplicateQuestions":93.35,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.43}
|
23 |
{"index":116,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33}
|
24 |
{"index":203,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
all_data_tasks/24/default.jsonl
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
{"index":9,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":4.72,"Core17InstructionRetrieval":1.32,"News21InstructionRetrieval":8.95,"Robust04InstructionRetrieval":3.9}
|
4 |
{"index":3,"Rank":4,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":3.45,"Core17InstructionRetrieval":6.7,"News21InstructionRetrieval":1.22,"Robust04InstructionRetrieval":2.44}
|
5 |
{"index":5,"Rank":5,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":2.53,"Core17InstructionRetrieval":1.84,"News21InstructionRetrieval":1.78,"Robust04InstructionRetrieval":3.96}
|
6 |
-
{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
7 |
{"index":20,"Rank":7,"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,"Embedding Dimensions":-1,"Max Tokens":4096,"Average":1.69,"Core17InstructionRetrieval":2.84,"News21InstructionRetrieval":0.23,"Robust04InstructionRetrieval":2.0}
|
8 |
{"index":7,"Rank":8,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":1.36,"Core17InstructionRetrieval":2.82,"News21InstructionRetrieval":1.99,"Robust04InstructionRetrieval":-0.72}
|
9 |
{"index":8,"Rank":9,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":0.64,"Core17InstructionRetrieval":-3.31,"News21InstructionRetrieval":-0.12,"Robust04InstructionRetrieval":5.35}
|
|
|
3 |
{"index":9,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":4.72,"Core17InstructionRetrieval":1.32,"News21InstructionRetrieval":8.95,"Robust04InstructionRetrieval":3.9}
|
4 |
{"index":3,"Rank":4,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":3.45,"Core17InstructionRetrieval":6.7,"News21InstructionRetrieval":1.22,"Robust04InstructionRetrieval":2.44}
|
5 |
{"index":5,"Rank":5,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":2.53,"Core17InstructionRetrieval":1.84,"News21InstructionRetrieval":1.78,"Robust04InstructionRetrieval":3.96}
|
6 |
+
{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":2.33,"Core17InstructionRetrieval":5.44,"News21InstructionRetrieval":3.94,"Robust04InstructionRetrieval":-2.4}
|
7 |
{"index":20,"Rank":7,"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,"Embedding Dimensions":-1,"Max Tokens":4096,"Average":1.69,"Core17InstructionRetrieval":2.84,"News21InstructionRetrieval":0.23,"Robust04InstructionRetrieval":2.0}
|
8 |
{"index":7,"Rank":8,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":1.36,"Core17InstructionRetrieval":2.82,"News21InstructionRetrieval":1.99,"Robust04InstructionRetrieval":-0.72}
|
9 |
{"index":8,"Rank":9,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":0.64,"Core17InstructionRetrieval":-3.31,"News21InstructionRetrieval":-0.12,"Robust04InstructionRetrieval":5.35}
|
all_data_tasks/3/default.jsonl
CHANGED
@@ -36,7 +36,7 @@
|
|
36 |
{"index":205,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45}
|
37 |
{"index":202,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
38 |
{"index":173,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45}
|
39 |
-
{"index":1,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
40 |
{"index":132,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
41 |
{"index":21,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
42 |
{"index":163,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
@@ -58,7 +58,7 @@
|
|
58 |
{"index":128,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36}
|
59 |
{"index":209,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.86,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.28,"SciDocsRR":85.01,"StackOverflowDupQuestions":52.75}
|
60 |
{"index":34,"Rank":60,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":57.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":32.59,"SciDocsRR":84.31,"StackOverflowDupQuestions":52.4}
|
61 |
-
{"index":0,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
62 |
{"index":265,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":57.7,"AskUbuntuDupQuestions":61.72,"MindSmallReranking":32.21,"SciDocsRR":84.83,"StackOverflowDupQuestions":52.03}
|
63 |
{"index":18,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":57.66,"AskUbuntuDupQuestions":61.83,"MindSmallReranking":31.34,"SciDocsRR":85.17,"StackOverflowDupQuestions":52.29}
|
64 |
{"index":161,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":57.54,"AskUbuntuDupQuestions":64.3,"MindSmallReranking":31.68,"SciDocsRR":82.0,"StackOverflowDupQuestions":52.17}
|
|
|
36 |
{"index":205,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45}
|
37 |
{"index":202,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
38 |
{"index":173,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45}
|
39 |
+
{"index":1,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
|
40 |
{"index":132,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
41 |
{"index":21,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
42 |
{"index":163,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
|
|
58 |
{"index":128,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36}
|
59 |
{"index":209,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.86,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.28,"SciDocsRR":85.01,"StackOverflowDupQuestions":52.75}
|
60 |
{"index":34,"Rank":60,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":57.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":32.59,"SciDocsRR":84.31,"StackOverflowDupQuestions":52.4}
|
61 |
+
{"index":0,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":57.78,"AskUbuntuDupQuestions":63.84,"MindSmallReranking":31.89,"SciDocsRR":81.62,"StackOverflowDupQuestions":53.76}
|
62 |
{"index":265,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":57.7,"AskUbuntuDupQuestions":61.72,"MindSmallReranking":32.21,"SciDocsRR":84.83,"StackOverflowDupQuestions":52.03}
|
63 |
{"index":18,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":57.66,"AskUbuntuDupQuestions":61.83,"MindSmallReranking":31.34,"SciDocsRR":85.17,"StackOverflowDupQuestions":52.29}
|
64 |
{"index":161,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":57.54,"AskUbuntuDupQuestions":64.3,"MindSmallReranking":31.68,"SciDocsRR":82.0,"StackOverflowDupQuestions":52.17}
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all_data_tasks/4/default.jsonl
CHANGED
@@ -23,7 +23,7 @@
|
|
23 |
{"index":15,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":56.24,"ArguAna":62.65,"ClimateFEVER":44.0,"CQADupstackRetrieval":40.64,"DBPedia":48.04,"FEVER":93.35,"FiQA2018":55.31,"HotpotQA":72.25,"MSMARCO":41.68,"NFCorpus":38.25,"NQ":61.79,"QuoraRetrieval":89.61,"SCIDOCS":27.69,"SciFact":75.31,"Touche2020":20.3,"TRECCOVID":72.72}
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24 |
{"index":70,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.99,"ArguAna":57.48,"ClimateFEVER":35.19,"CQADupstackRetrieval":48.84,"DBPedia":49.58,"FEVER":89.4,"FiQA2018":53.11,"HotpotQA":74.07,"MSMARCO":42.17,"NFCorpus":39.33,"NQ":61.7,"QuoraRetrieval":87.75,"SCIDOCS":22.5,"SciFact":78.86,"Touche2020":22.18,"TRECCOVID":77.69}
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25 |
{"index":107,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"Average":55.98,"ArguAna":59.09,"ClimateFEVER":39.33,"CQADupstackRetrieval":46.97,"DBPedia":45.97,"FEVER":88.22,"FiQA2018":44.71,"HotpotQA":75.18,"MSMARCO":41.68,"NFCorpus":37.65,"NQ":63.11,"QuoraRetrieval":87.41,"SCIDOCS":21.36,"SciFact":73.82,"Touche2020":34.52,"TRECCOVID":80.72}
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26 |
-
{"index":1,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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27 |
{"index":8,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":55.58,"ArguAna":58.73,"ClimateFEVER":37.47,"CQADupstackRetrieval":45.11,"DBPedia":43.42,"FEVER":89.71,"FiQA2018":44.79,"HotpotQA":70.46,"MSMARCO":39.66,"NFCorpus":43.33,"NQ":60.65,"QuoraRetrieval":87.83,"SCIDOCS":23.19,"SciFact":73.64,"Touche2020":36.83,"TRECCOVID":78.92}
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28 |
{"index":190,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.52,"ArguAna":58.52,"ClimateFEVER":34.56,"CQADupstackRetrieval":46.91,"DBPedia":46.83,"FEVER":91.22,"FiQA2018":54.51,"HotpotQA":76.41,"MSMARCO":43.25,"NFCorpus":39.55,"NQ":62.31,"QuoraRetrieval":89.34,"SCIDOCS":20.17,"SciFact":73.99,"Touche2020":18.52,"TRECCOVID":76.66}
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29 |
{"index":294,"Rank":29,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":55.44,"ArguAna":58.05,"ClimateFEVER":30.27,"CQADupstackRetrieval":47.54,"DBPedia":44.76,"FEVER":87.94,"FiQA2018":55.0,"HotpotQA":71.58,"MSMARCO":40.24,"NFCorpus":42.07,"NQ":61.27,"QuoraRetrieval":89.05,"SCIDOCS":23.11,"SciFact":77.77,"Touche2020":23.35,"TRECCOVID":79.56}
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@@ -49,7 +49,7 @@
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|
49 |
{"index":211,"Rank":49,"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)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
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50 |
{"index":173,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":52.64,"ArguAna":58.48,"ClimateFEVER":29.86,"CQADupstackRetrieval":42.71,"DBPedia":38.36,"FEVER":77.99,"FiQA2018":48.42,"HotpotQA":69.32,"MSMARCO":40.43,"NFCorpus":36.34,"NQ":57.75,"QuoraRetrieval":89.15,"SCIDOCS":19.24,"SciFact":71.62,"Touche2020":27.4,"TRECCOVID":82.51}
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51 |
{"index":91,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":52.47,"ArguAna":58.38,"ClimateFEVER":29.86,"CQADupstackRetrieval":42.71,"DBPedia":38.36,"FEVER":77.99,"FiQA2018":47.71,"HotpotQA":69.32,"MSMARCO":40.43,"NFCorpus":35.53,"NQ":57.75,"QuoraRetrieval":89.15,"SCIDOCS":18.72,"SciFact":71.85,"Touche2020":27.25,"TRECCOVID":82.0}
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52 |
-
{"index":0,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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53 |
{"index":216,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":52.4,"ArguAna":47.45,"ClimateFEVER":40.7,"CQADupstackRetrieval":39.06,"DBPedia":42.96,"FEVER":85.7,"FiQA2018":36.92,"HotpotQA":71.48,"MSMARCO":42.29,"NFCorpus":33.31,"NQ":58.83,"QuoraRetrieval":87.87,"SCIDOCS":17.88,"SciFact":70.12,"Touche2020":29.24,"TRECCOVID":82.12}
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54 |
{"index":127,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":52.31,"ArguAna":62.62,"ClimateFEVER":31.49,"CQADupstackRetrieval":43.2,"DBPedia":41.7,"FEVER":86.65,"FiQA2018":40.64,"HotpotQA":68.92,"MSMARCO":40.64,"NFCorpus":37.64,"NQ":53.43,"QuoraRetrieval":88.81,"SCIDOCS":23.47,"SciFact":75.29,"Touche2020":20.58,"TRECCOVID":69.6}
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55 |
{"index":264,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":52.22,"ArguAna":57.16,"ClimateFEVER":28.82,"CQADupstackRetrieval":43.18,"DBPedia":42.37,"FEVER":84.53,"FiQA2018":44.5,"HotpotQA":67.16,"MSMARCO":40.86,"NFCorpus":38.17,"NQ":54.78,"QuoraRetrieval":88.32,"SCIDOCS":23.44,"SciFact":74.27,"Touche2020":25.51,"TRECCOVID":70.22}
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23 |
{"index":15,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":56.24,"ArguAna":62.65,"ClimateFEVER":44.0,"CQADupstackRetrieval":40.64,"DBPedia":48.04,"FEVER":93.35,"FiQA2018":55.31,"HotpotQA":72.25,"MSMARCO":41.68,"NFCorpus":38.25,"NQ":61.79,"QuoraRetrieval":89.61,"SCIDOCS":27.69,"SciFact":75.31,"Touche2020":20.3,"TRECCOVID":72.72}
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24 |
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{"index":1,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":55.7,"ArguAna":62.18,"ClimateFEVER":33.21,"CQADupstackRetrieval":48.89,"DBPedia":47.12,"FEVER":86.96,"FiQA2018":59.24,"HotpotQA":71.33,"MSMARCO":32.58,"NFCorpus":40.33,"NQ":61.28,"QuoraRetrieval":88.18,"SCIDOCS":20.34,"SciFact":75.42,"Touche2020":25.86,"TRECCOVID":82.62}
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{"index":294,"Rank":29,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":55.44,"ArguAna":58.05,"ClimateFEVER":30.27,"CQADupstackRetrieval":47.54,"DBPedia":44.76,"FEVER":87.94,"FiQA2018":55.0,"HotpotQA":71.58,"MSMARCO":40.24,"NFCorpus":42.07,"NQ":61.27,"QuoraRetrieval":89.05,"SCIDOCS":23.11,"SciFact":77.77,"Touche2020":23.35,"TRECCOVID":79.56}
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all_data_tasks/40/default.jsonl
CHANGED
@@ -30,8 +30,8 @@
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30 |
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32 |
{"index":234,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":24.28,"STS17 (ar-ar)":13.78,"STS17 (en-ar)":9.08,"STS17 (en-de)":-3.11,"STS17 (en-tr)":-0.45,"STS17 (es-en)":-8.18,"STS17 (es-es)":48.23,"STS17 (fr-en)":5.81,"STS17 (it-en)":3.64,"STS17 (ko-ko)":2.54,"STS17 (nl-en)":0.44,"STS22 (ar)":32.42,"STS22 (de)":33.04,"STS22 (de-en)":28.65,"STS22 (de-fr)":14.77,"STS22 (de-pl)":11.21,"STS22 (es)":48.53,"STS22 (es-en)":26.97,"STS22 (es-it)":41.1,"STS22 (fr)":49.43,"STS22 (fr-pl)":39.44,"STS22 (it)":57.77,"STS22 (pl)":12.47,"STS22 (pl-en)":45.55,"STS22 (ru)":19.44,"STS22 (tr)":47.38,"STS22 (zh-en)":14.05,"STSBenchmark":61.55}
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33 |
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{"index":0,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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34 |
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{"index":1,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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35 |
{"index":2,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":74.85}
|
36 |
{"index":3,"Rank":36,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":82.74,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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37 |
{"index":4,"Rank":37,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":70.51,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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30 |
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|
31 |
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{"index":0,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":89.33}
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35 |
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36 |
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all_data_tasks/44/default.jsonl
CHANGED
@@ -1,7 +1,7 @@
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|
1 |
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2 |
{"index":3,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":22.09,"BrightRetrieval (aops)":14.36,"BrightRetrieval (biology)":30.92,"BrightRetrieval (earth_science)":36.22,"BrightRetrieval (economics)":17.72,"BrightRetrieval (leetcode)":25.46,"BrightRetrieval (pony)":9.79,"BrightRetrieval (psychology)":24.61,"BrightRetrieval (robotics)":13.47,"BrightRetrieval (stackoverflow)":19.85,"BrightRetrieval (sustainable_living)":14.93,"BrightRetrieval (theoremqa_questions)":26.97,"BrightRetrieval (theoremqa_theorems)":30.8}
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{"index":7,"Rank":3,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":20.63,"BrightRetrieval (aops)":8.91,"BrightRetrieval (biology)":25.04,"BrightRetrieval (earth_science)":32.77,"BrightRetrieval (economics)":19.0,"BrightRetrieval (leetcode)":29.85,"BrightRetrieval (pony)":21.98,"BrightRetrieval (psychology)":19.92,"BrightRetrieval (robotics)":17.31,"BrightRetrieval (stackoverflow)":11.62,"BrightRetrieval (sustainable_living)":18.04,"BrightRetrieval (theoremqa_questions)":23.34,"BrightRetrieval (theoremqa_theorems)":19.75}
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{"index":0,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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5 |
{"index":10,"Rank":5,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.61,"BrightRetrieval (aops)":8.26,"BrightRetrieval (biology)":21.91,"BrightRetrieval (earth_science)":34.35,"BrightRetrieval (economics)":22.81,"BrightRetrieval (leetcode)":27.5,"BrightRetrieval (pony)":5.02,"BrightRetrieval (psychology)":27.43,"BrightRetrieval (robotics)":17.39,"BrightRetrieval (stackoverflow)":19.06,"BrightRetrieval (sustainable_living)":18.82,"BrightRetrieval (theoremqa_questions)":14.59,"BrightRetrieval (theoremqa_theorems)":6.22}
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6 |
{"index":8,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":18.02,"BrightRetrieval (aops)":7.43,"BrightRetrieval (biology)":19.49,"BrightRetrieval (earth_science)":26.63,"BrightRetrieval (economics)":17.84,"BrightRetrieval (leetcode)":27.35,"BrightRetrieval (pony)":1.97,"BrightRetrieval (psychology)":18.97,"BrightRetrieval (robotics)":16.7,"BrightRetrieval (stackoverflow)":12.72,"BrightRetrieval (sustainable_living)":19.79,"BrightRetrieval (theoremqa_questions)":23.05,"BrightRetrieval (theoremqa_theorems)":24.32}
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7 |
{"index":1,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":17.65,"BrightRetrieval (aops)":7.45,"BrightRetrieval (biology)":23.55,"BrightRetrieval (earth_science)":25.09,"BrightRetrieval (economics)":19.85,"BrightRetrieval (leetcode)":30.6,"BrightRetrieval (pony)":1.48,"BrightRetrieval (psychology)":24.79,"BrightRetrieval (robotics)":11.21,"BrightRetrieval (stackoverflow)":15.03,"BrightRetrieval (sustainable_living)":15.58,"BrightRetrieval (theoremqa_questions)":26.06,"BrightRetrieval (theoremqa_theorems)":11.1}
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|
1 |
{"index":4,"Rank":1,"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,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":22.89,"BrightRetrieval (aops)":15.1,"BrightRetrieval (biology)":32.09,"BrightRetrieval (earth_science)":40.66,"BrightRetrieval (economics)":16.18,"BrightRetrieval (leetcode)":31.07,"BrightRetrieval (pony)":1.25,"BrightRetrieval (psychology)":26.58,"BrightRetrieval (robotics)":12.82,"BrightRetrieval (stackoverflow)":13.95,"BrightRetrieval (sustainable_living)":20.82,"BrightRetrieval (theoremqa_questions)":29.9,"BrightRetrieval (theoremqa_theorems)":34.22}
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3 |
{"index":7,"Rank":3,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":20.63,"BrightRetrieval (aops)":8.91,"BrightRetrieval (biology)":25.04,"BrightRetrieval (earth_science)":32.77,"BrightRetrieval (economics)":19.0,"BrightRetrieval (leetcode)":29.85,"BrightRetrieval (pony)":21.98,"BrightRetrieval (psychology)":19.92,"BrightRetrieval (robotics)":17.31,"BrightRetrieval (stackoverflow)":11.62,"BrightRetrieval (sustainable_living)":18.04,"BrightRetrieval (theoremqa_questions)":23.34,"BrightRetrieval (theoremqa_theorems)":19.75}
|
4 |
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{"index":0,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":19.52,"BrightRetrieval (aops)":9.33,"BrightRetrieval (biology)":22.98,"BrightRetrieval (earth_science)":34.38,"BrightRetrieval (economics)":19.5,"BrightRetrieval (leetcode)":29.64,"BrightRetrieval (pony)":3.59,"BrightRetrieval (psychology)":27.86,"BrightRetrieval (robotics)":15.98,"BrightRetrieval (stackoverflow)":17.93,"BrightRetrieval (sustainable_living)":17.25,"BrightRetrieval (theoremqa_questions)":21.51,"BrightRetrieval (theoremqa_theorems)":14.31}
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5 |
{"index":10,"Rank":5,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.61,"BrightRetrieval (aops)":8.26,"BrightRetrieval (biology)":21.91,"BrightRetrieval (earth_science)":34.35,"BrightRetrieval (economics)":22.81,"BrightRetrieval (leetcode)":27.5,"BrightRetrieval (pony)":5.02,"BrightRetrieval (psychology)":27.43,"BrightRetrieval (robotics)":17.39,"BrightRetrieval (stackoverflow)":19.06,"BrightRetrieval (sustainable_living)":18.82,"BrightRetrieval (theoremqa_questions)":14.59,"BrightRetrieval (theoremqa_theorems)":6.22}
|
6 |
{"index":8,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":18.02,"BrightRetrieval (aops)":7.43,"BrightRetrieval (biology)":19.49,"BrightRetrieval (earth_science)":26.63,"BrightRetrieval (economics)":17.84,"BrightRetrieval (leetcode)":27.35,"BrightRetrieval (pony)":1.97,"BrightRetrieval (psychology)":18.97,"BrightRetrieval (robotics)":16.7,"BrightRetrieval (stackoverflow)":12.72,"BrightRetrieval (sustainable_living)":19.79,"BrightRetrieval (theoremqa_questions)":23.05,"BrightRetrieval (theoremqa_theorems)":24.32}
|
7 |
{"index":1,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":17.65,"BrightRetrieval (aops)":7.45,"BrightRetrieval (biology)":23.55,"BrightRetrieval (earth_science)":25.09,"BrightRetrieval (economics)":19.85,"BrightRetrieval (leetcode)":30.6,"BrightRetrieval (pony)":1.48,"BrightRetrieval (psychology)":24.79,"BrightRetrieval (robotics)":11.21,"BrightRetrieval (stackoverflow)":15.03,"BrightRetrieval (sustainable_living)":15.58,"BrightRetrieval (theoremqa_questions)":26.06,"BrightRetrieval (theoremqa_theorems)":11.1}
|
all_data_tasks/45/default.jsonl
CHANGED
@@ -4,7 +4,7 @@
|
|
4 |
{"index":4,"Rank":4,"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,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":25.96,"BrightRetrieval (biology)":34.87,"BrightRetrieval (earth_science)":38.36,"BrightRetrieval (economics)":27.67,"BrightRetrieval (pony)":1.17,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":10.89,"BrightRetrieval (stackoverflow)":16.67,"BrightRetrieval (sustainable_living)":31.28}
|
5 |
{"index":11,"Rank":5,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":25.54,"BrightRetrieval (biology)":29.93,"BrightRetrieval (earth_science)":36.28,"BrightRetrieval (economics)":26.21,"BrightRetrieval (pony)":1.14,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":17.33,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":32.21}
|
6 |
{"index":1,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":24.62,"BrightRetrieval (biology)":34.38,"BrightRetrieval (earth_science)":35.35,"BrightRetrieval (economics)":26.7,"BrightRetrieval (pony)":1.28,"BrightRetrieval (psychology)":41.58,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":13.68,"BrightRetrieval (sustainable_living)":31.1}
|
7 |
-
{"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
8 |
{"index":13,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":21.88,"BrightRetrieval (biology)":33.09,"BrightRetrieval (earth_science)":32.26,"BrightRetrieval (economics)":24.76,"BrightRetrieval (pony)":0.0,"BrightRetrieval (psychology)":35.15,"BrightRetrieval (robotics)":11.88,"BrightRetrieval (stackoverflow)":11.54,"BrightRetrieval (sustainable_living)":26.34}
|
9 |
{"index":6,"Rank":9,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":18.4,"BrightRetrieval (biology)":31.47,"BrightRetrieval (earth_science)":35.49,"BrightRetrieval (economics)":17.96,"BrightRetrieval (pony)":0.84,"BrightRetrieval (psychology)":20.5,"BrightRetrieval (robotics)":9.9,"BrightRetrieval (stackoverflow)":15.81,"BrightRetrieval (sustainable_living)":15.23}
|
10 |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.21,"BrightRetrieval (biology)":24.11,"BrightRetrieval (earth_science)":29.45,"BrightRetrieval (economics)":14.08,"BrightRetrieval (pony)":3.94,"BrightRetrieval (psychology)":21.29,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":25.42}
|
|
|
4 |
{"index":4,"Rank":4,"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,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":25.96,"BrightRetrieval (biology)":34.87,"BrightRetrieval (earth_science)":38.36,"BrightRetrieval (economics)":27.67,"BrightRetrieval (pony)":1.17,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":10.89,"BrightRetrieval (stackoverflow)":16.67,"BrightRetrieval (sustainable_living)":31.28}
|
5 |
{"index":11,"Rank":5,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":25.54,"BrightRetrieval (biology)":29.93,"BrightRetrieval (earth_science)":36.28,"BrightRetrieval (economics)":26.21,"BrightRetrieval (pony)":1.14,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":17.33,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":32.21}
|
6 |
{"index":1,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":24.62,"BrightRetrieval (biology)":34.38,"BrightRetrieval (earth_science)":35.35,"BrightRetrieval (economics)":26.7,"BrightRetrieval (pony)":1.28,"BrightRetrieval (psychology)":41.58,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":13.68,"BrightRetrieval (sustainable_living)":31.1}
|
7 |
+
{"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":22.44,"BrightRetrieval (biology)":30.91,"BrightRetrieval (earth_science)":38.0,"BrightRetrieval (economics)":21.84,"BrightRetrieval (pony)":0.29,"BrightRetrieval (psychology)":30.69,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":19.23,"BrightRetrieval (sustainable_living)":25.65}
|
8 |
{"index":13,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":21.88,"BrightRetrieval (biology)":33.09,"BrightRetrieval (earth_science)":32.26,"BrightRetrieval (economics)":24.76,"BrightRetrieval (pony)":0.0,"BrightRetrieval (psychology)":35.15,"BrightRetrieval (robotics)":11.88,"BrightRetrieval (stackoverflow)":11.54,"BrightRetrieval (sustainable_living)":26.34}
|
9 |
{"index":6,"Rank":9,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":18.4,"BrightRetrieval (biology)":31.47,"BrightRetrieval (earth_science)":35.49,"BrightRetrieval (economics)":17.96,"BrightRetrieval (pony)":0.84,"BrightRetrieval (psychology)":20.5,"BrightRetrieval (robotics)":9.9,"BrightRetrieval (stackoverflow)":15.81,"BrightRetrieval (sustainable_living)":15.23}
|
10 |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.21,"BrightRetrieval (biology)":24.11,"BrightRetrieval (earth_science)":29.45,"BrightRetrieval (economics)":14.08,"BrightRetrieval (pony)":3.94,"BrightRetrieval (psychology)":21.29,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":25.42}
|
all_data_tasks/5/default.jsonl
CHANGED
@@ -2,14 +2,14 @@
|
|
2 |
{"index":121,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.02,"BIOSSES":87.86,"SICK-R":81.01,"STS12":85.52,"STS13":89.37,"STS14":91.61,"STS15":92.02,"STS16":86.29,"STS17 (en-en)":88.71,"STS22 (en)":68.58,"STSBenchmark":89.28}
|
3 |
{"index":189,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
|
4 |
{"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56}
|
5 |
-
{"index":1,"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\">text-embedding-preview-
|
6 |
{"index":103,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
|
7 |
{"index":271,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
|
8 |
{"index":173,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
|
9 |
{"index":203,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
|
10 |
{"index":56,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.99,"BIOSSES":88.38,"SICK-R":83.0,"STS12":79.22,"STS13":89.43,"STS14":84.79,"STS15":89.54,"STS16":86.69,"STS17 (en-en)":89.64,"STS22 (en)":70.26,"STSBenchmark":88.96}
|
11 |
{"index":61,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"BIOSSES":86.4,"SICK-R":84.31,"STS12":78.44,"STS13":88.27,"STS14":84.49,"STS15":90.28,"STS16":87.37,"STS17 (en-en)":92.68,"STS22 (en)":68.62,"STSBenchmark":88.81}
|
12 |
-
{"index":0,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
13 |
{"index":202,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.9,"BIOSSES":88.06,"SICK-R":82.05,"STS12":78.77,"STS13":90.4,"STS14":85.45,"STS15":90.01,"STS16":87.42,"STS17 (en-en)":88.8,"STS22 (en)":68.8,"STSBenchmark":89.2}
|
14 |
{"index":228,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.82,"BIOSSES":87.28,"SICK-R":82.33,"STS12":79.7,"STS13":89.21,"STS14":86.01,"STS15":89.7,"STS16":87.68,"STS17 (en-en)":88.03,"STS22 (en)":70.16,"STSBenchmark":88.15}
|
15 |
{"index":91,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.78,"BIOSSES":86.96,"SICK-R":81.73,"STS12":82.57,"STS13":87.15,"STS14":84.97,"STS15":91.05,"STS16":87.31,"STS17 (en-en)":90.03,"STS22 (en)":67.63,"STSBenchmark":88.38}
|
|
|
2 |
{"index":121,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.02,"BIOSSES":87.86,"SICK-R":81.01,"STS12":85.52,"STS13":89.37,"STS14":91.61,"STS15":92.02,"STS16":86.29,"STS17 (en-en)":88.71,"STS22 (en)":68.58,"STSBenchmark":89.28}
|
3 |
{"index":189,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
|
4 |
{"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56}
|
5 |
+
{"index":1,"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\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":85.07,"BIOSSES":89.46,"SICK-R":81.93,"STS12":77.59,"STS13":90.36,"STS14":85.25,"STS15":89.66,"STS16":87.34,"STS17 (en-en)":92.06,"STS22 (en)":68.02,"STSBenchmark":88.99}
|
6 |
{"index":103,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
|
7 |
{"index":271,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
|
8 |
{"index":173,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
|
9 |
{"index":203,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
|
10 |
{"index":56,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.99,"BIOSSES":88.38,"SICK-R":83.0,"STS12":79.22,"STS13":89.43,"STS14":84.79,"STS15":89.54,"STS16":86.69,"STS17 (en-en)":89.64,"STS22 (en)":70.26,"STSBenchmark":88.96}
|
11 |
{"index":61,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"BIOSSES":86.4,"SICK-R":84.31,"STS12":78.44,"STS13":88.27,"STS14":84.49,"STS15":90.28,"STS16":87.37,"STS17 (en-en)":92.68,"STS22 (en)":68.62,"STSBenchmark":88.81}
|
12 |
+
{"index":0,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":84.93,"BIOSSES":89.42,"SICK-R":81.67,"STS12":78.02,"STS13":90.1,"STS14":85.44,"STS15":89.64,"STS16":87.24,"STS17 (en-en)":90.46,"STS22 (en)":67.99,"STSBenchmark":89.33}
|
13 |
{"index":202,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.9,"BIOSSES":88.06,"SICK-R":82.05,"STS12":78.77,"STS13":90.4,"STS14":85.45,"STS15":90.01,"STS16":87.42,"STS17 (en-en)":88.8,"STS22 (en)":68.8,"STSBenchmark":89.2}
|
14 |
{"index":228,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.82,"BIOSSES":87.28,"SICK-R":82.33,"STS12":79.7,"STS13":89.21,"STS14":86.01,"STS15":89.7,"STS16":87.68,"STS17 (en-en)":88.03,"STS22 (en)":70.16,"STSBenchmark":88.15}
|
15 |
{"index":91,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.78,"BIOSSES":86.96,"SICK-R":81.73,"STS12":82.57,"STS13":87.15,"STS14":84.97,"STS15":91.05,"STS16":87.31,"STS17 (en-en)":90.03,"STS22 (en)":67.63,"STSBenchmark":88.38}
|
all_data_tasks/6/default.jsonl
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{"index":133,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":33.6}
|
2 |
{"index":203,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.71}
|
3 |
-
{"index":1,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
4 |
{"index":163,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.52}
|
5 |
{"index":106,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/yiyouliao\">yiyouliao<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":32.47}
|
6 |
-
{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
7 |
{"index":162,"Rank":7,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.32}
|
8 |
{"index":95,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-labse-Matryoshka\">Arabic-labse-Matryoshka<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.17}
|
9 |
{"index":56,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.12}
|
|
|
1 |
{"index":133,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":33.6}
|
2 |
{"index":203,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.71}
|
3 |
+
{"index":1,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":32.63}
|
4 |
{"index":163,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.52}
|
5 |
{"index":106,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/yiyouliao\">yiyouliao<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":32.47}
|
6 |
+
{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"SummEval":32.36}
|
7 |
{"index":162,"Rank":7,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.32}
|
8 |
{"index":95,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-labse-Matryoshka\">Arabic-labse-Matryoshka<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.17}
|
9 |
{"index":56,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.12}
|
all_data_tasks/8/default.jsonl
CHANGED
@@ -73,8 +73,8 @@
|
|
73 |
{"index":304,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.04,"AmazonReviewsClassification (zh)":21.96,"IFlyTek":20.35,"JDReview":55.5,"MassiveIntentClassification (zh-CN)":25.39,"MassiveScenarioClassification (zh-CN)":40.35,"MultilingualSentiment":38.94,"OnlineShopping":56.89,"TNews":26.79,"Waimai":56.22}
|
74 |
{"index":270,"Rank":74,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.74,"AmazonReviewsClassification (zh)":23.67,"IFlyTek":16.09,"JDReview":59.98,"MassiveIntentClassification (zh-CN)":24.4,"MassiveScenarioClassification (zh-CN)":33.65,"MultilingualSentiment":41.28,"OnlineShopping":57.74,"TNews":20.12,"Waimai":62.72}
|
75 |
{"index":269,"Rank":75,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.53,"AmazonReviewsClassification (zh)":22.99,"IFlyTek":15.31,"JDReview":59.57,"MassiveIntentClassification (zh-CN)":23.74,"MassiveScenarioClassification (zh-CN)":33.18,"MultilingualSentiment":40.52,"OnlineShopping":58.65,"TNews":20.37,"Waimai":63.48}
|
76 |
-
{"index":0,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
77 |
-
{"index":1,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
78 |
{"index":2,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
79 |
{"index":3,"Rank":79,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
80 |
{"index":4,"Rank":80,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
|
|
73 |
{"index":304,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.04,"AmazonReviewsClassification (zh)":21.96,"IFlyTek":20.35,"JDReview":55.5,"MassiveIntentClassification (zh-CN)":25.39,"MassiveScenarioClassification (zh-CN)":40.35,"MultilingualSentiment":38.94,"OnlineShopping":56.89,"TNews":26.79,"Waimai":56.22}
|
74 |
{"index":270,"Rank":74,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.74,"AmazonReviewsClassification (zh)":23.67,"IFlyTek":16.09,"JDReview":59.98,"MassiveIntentClassification (zh-CN)":24.4,"MassiveScenarioClassification (zh-CN)":33.65,"MultilingualSentiment":41.28,"OnlineShopping":57.74,"TNews":20.12,"Waimai":62.72}
|
75 |
{"index":269,"Rank":75,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.53,"AmazonReviewsClassification (zh)":22.99,"IFlyTek":15.31,"JDReview":59.57,"MassiveIntentClassification (zh-CN)":23.74,"MassiveScenarioClassification (zh-CN)":33.18,"MultilingualSentiment":40.52,"OnlineShopping":58.65,"TNews":20.37,"Waimai":63.48}
|
76 |
+
{"index":0,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
77 |
+
{"index":1,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
78 |
{"index":2,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
79 |
{"index":3,"Rank":79,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
80 |
{"index":4,"Rank":80,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
all_data_tasks/9/default.jsonl
CHANGED
@@ -67,8 +67,8 @@
|
|
67 |
{"index":45,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":31.8,"CLSClusteringP2P":34.98,"CLSClusteringS2S":27.82,"ThuNewsClusteringP2P":40.17,"ThuNewsClusteringS2S":24.23}
|
68 |
{"index":55,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":30.02,"CLSClusteringP2P":30.13,"CLSClusteringS2S":28.77,"ThuNewsClusteringP2P":35.05,"ThuNewsClusteringS2S":26.14}
|
69 |
{"index":304,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":18.34,"CLSClusteringP2P":18.66,"CLSClusteringS2S":16.82,"ThuNewsClusteringP2P":20.69,"ThuNewsClusteringS2S":17.19}
|
70 |
-
{"index":0,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
71 |
-
{"index":1,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
72 |
{"index":2,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
73 |
{"index":3,"Rank":73,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
74 |
{"index":4,"Rank":74,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
|
|
67 |
{"index":45,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":31.8,"CLSClusteringP2P":34.98,"CLSClusteringS2S":27.82,"ThuNewsClusteringP2P":40.17,"ThuNewsClusteringS2S":24.23}
|
68 |
{"index":55,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":30.02,"CLSClusteringP2P":30.13,"CLSClusteringS2S":28.77,"ThuNewsClusteringP2P":35.05,"ThuNewsClusteringS2S":26.14}
|
69 |
{"index":304,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":18.34,"CLSClusteringP2P":18.66,"CLSClusteringS2S":16.82,"ThuNewsClusteringP2P":20.69,"ThuNewsClusteringS2S":17.19}
|
70 |
+
{"index":0,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
71 |
+
{"index":1,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
72 |
{"index":2,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
73 |
{"index":3,"Rank":73,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
74 |
{"index":4,"Rank":74,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
app.py
CHANGED
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See raw diff
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|
boards_data/bright/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{"index":4,"Rank":1,"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,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":22.89,"BrightRetrieval (aops)":15.1,"BrightRetrieval (biology)":32.09,"BrightRetrieval (earth_science)":40.66,"BrightRetrieval (economics)":16.18,"BrightRetrieval (leetcode)":31.07,"BrightRetrieval (pony)":1.25,"BrightRetrieval (psychology)":26.58,"BrightRetrieval (robotics)":12.82,"BrightRetrieval (stackoverflow)":13.95,"BrightRetrieval (sustainable_living)":20.82,"BrightRetrieval (theoremqa_questions)":29.9,"BrightRetrieval (theoremqa_theorems)":34.22}
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2 |
{"index":3,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":22.09,"BrightRetrieval (aops)":14.36,"BrightRetrieval (biology)":30.92,"BrightRetrieval (earth_science)":36.22,"BrightRetrieval (economics)":17.72,"BrightRetrieval (leetcode)":25.46,"BrightRetrieval (pony)":9.79,"BrightRetrieval (psychology)":24.61,"BrightRetrieval (robotics)":13.47,"BrightRetrieval (stackoverflow)":19.85,"BrightRetrieval (sustainable_living)":14.93,"BrightRetrieval (theoremqa_questions)":26.97,"BrightRetrieval (theoremqa_theorems)":30.8}
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3 |
{"index":7,"Rank":3,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":20.63,"BrightRetrieval (aops)":8.91,"BrightRetrieval (biology)":25.04,"BrightRetrieval (earth_science)":32.77,"BrightRetrieval (economics)":19.0,"BrightRetrieval (leetcode)":29.85,"BrightRetrieval (pony)":21.98,"BrightRetrieval (psychology)":19.92,"BrightRetrieval (robotics)":17.31,"BrightRetrieval (stackoverflow)":11.62,"BrightRetrieval (sustainable_living)":18.04,"BrightRetrieval (theoremqa_questions)":23.34,"BrightRetrieval (theoremqa_theorems)":19.75}
|
4 |
-
{"index":0,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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5 |
{"index":10,"Rank":5,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.61,"BrightRetrieval (aops)":8.26,"BrightRetrieval (biology)":21.91,"BrightRetrieval (earth_science)":34.35,"BrightRetrieval (economics)":22.81,"BrightRetrieval (leetcode)":27.5,"BrightRetrieval (pony)":5.02,"BrightRetrieval (psychology)":27.43,"BrightRetrieval (robotics)":17.39,"BrightRetrieval (stackoverflow)":19.06,"BrightRetrieval (sustainable_living)":18.82,"BrightRetrieval (theoremqa_questions)":14.59,"BrightRetrieval (theoremqa_theorems)":6.22}
|
6 |
{"index":8,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":18.02,"BrightRetrieval (aops)":7.43,"BrightRetrieval (biology)":19.49,"BrightRetrieval (earth_science)":26.63,"BrightRetrieval (economics)":17.84,"BrightRetrieval (leetcode)":27.35,"BrightRetrieval (pony)":1.97,"BrightRetrieval (psychology)":18.97,"BrightRetrieval (robotics)":16.7,"BrightRetrieval (stackoverflow)":12.72,"BrightRetrieval (sustainable_living)":19.79,"BrightRetrieval (theoremqa_questions)":23.05,"BrightRetrieval (theoremqa_theorems)":24.32}
|
7 |
{"index":1,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":17.65,"BrightRetrieval (aops)":7.45,"BrightRetrieval (biology)":23.55,"BrightRetrieval (earth_science)":25.09,"BrightRetrieval (economics)":19.85,"BrightRetrieval (leetcode)":30.6,"BrightRetrieval (pony)":1.48,"BrightRetrieval (psychology)":24.79,"BrightRetrieval (robotics)":11.21,"BrightRetrieval (stackoverflow)":15.03,"BrightRetrieval (sustainable_living)":15.58,"BrightRetrieval (theoremqa_questions)":26.06,"BrightRetrieval (theoremqa_theorems)":11.1}
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|
|
1 |
{"index":4,"Rank":1,"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,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":22.89,"BrightRetrieval (aops)":15.1,"BrightRetrieval (biology)":32.09,"BrightRetrieval (earth_science)":40.66,"BrightRetrieval (economics)":16.18,"BrightRetrieval (leetcode)":31.07,"BrightRetrieval (pony)":1.25,"BrightRetrieval (psychology)":26.58,"BrightRetrieval (robotics)":12.82,"BrightRetrieval (stackoverflow)":13.95,"BrightRetrieval (sustainable_living)":20.82,"BrightRetrieval (theoremqa_questions)":29.9,"BrightRetrieval (theoremqa_theorems)":34.22}
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2 |
{"index":3,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":22.09,"BrightRetrieval (aops)":14.36,"BrightRetrieval (biology)":30.92,"BrightRetrieval (earth_science)":36.22,"BrightRetrieval (economics)":17.72,"BrightRetrieval (leetcode)":25.46,"BrightRetrieval (pony)":9.79,"BrightRetrieval (psychology)":24.61,"BrightRetrieval (robotics)":13.47,"BrightRetrieval (stackoverflow)":19.85,"BrightRetrieval (sustainable_living)":14.93,"BrightRetrieval (theoremqa_questions)":26.97,"BrightRetrieval (theoremqa_theorems)":30.8}
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3 |
{"index":7,"Rank":3,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":20.63,"BrightRetrieval (aops)":8.91,"BrightRetrieval (biology)":25.04,"BrightRetrieval (earth_science)":32.77,"BrightRetrieval (economics)":19.0,"BrightRetrieval (leetcode)":29.85,"BrightRetrieval (pony)":21.98,"BrightRetrieval (psychology)":19.92,"BrightRetrieval (robotics)":17.31,"BrightRetrieval (stackoverflow)":11.62,"BrightRetrieval (sustainable_living)":18.04,"BrightRetrieval (theoremqa_questions)":23.34,"BrightRetrieval (theoremqa_theorems)":19.75}
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4 |
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{"index":0,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":19.52,"BrightRetrieval (aops)":9.33,"BrightRetrieval (biology)":22.98,"BrightRetrieval (earth_science)":34.38,"BrightRetrieval (economics)":19.5,"BrightRetrieval (leetcode)":29.64,"BrightRetrieval (pony)":3.59,"BrightRetrieval (psychology)":27.86,"BrightRetrieval (robotics)":15.98,"BrightRetrieval (stackoverflow)":17.93,"BrightRetrieval (sustainable_living)":17.25,"BrightRetrieval (theoremqa_questions)":21.51,"BrightRetrieval (theoremqa_theorems)":14.31}
|
5 |
{"index":10,"Rank":5,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.61,"BrightRetrieval (aops)":8.26,"BrightRetrieval (biology)":21.91,"BrightRetrieval (earth_science)":34.35,"BrightRetrieval (economics)":22.81,"BrightRetrieval (leetcode)":27.5,"BrightRetrieval (pony)":5.02,"BrightRetrieval (psychology)":27.43,"BrightRetrieval (robotics)":17.39,"BrightRetrieval (stackoverflow)":19.06,"BrightRetrieval (sustainable_living)":18.82,"BrightRetrieval (theoremqa_questions)":14.59,"BrightRetrieval (theoremqa_theorems)":6.22}
|
6 |
{"index":8,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":18.02,"BrightRetrieval (aops)":7.43,"BrightRetrieval (biology)":19.49,"BrightRetrieval (earth_science)":26.63,"BrightRetrieval (economics)":17.84,"BrightRetrieval (leetcode)":27.35,"BrightRetrieval (pony)":1.97,"BrightRetrieval (psychology)":18.97,"BrightRetrieval (robotics)":16.7,"BrightRetrieval (stackoverflow)":12.72,"BrightRetrieval (sustainable_living)":19.79,"BrightRetrieval (theoremqa_questions)":23.05,"BrightRetrieval (theoremqa_theorems)":24.32}
|
7 |
{"index":1,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":17.65,"BrightRetrieval (aops)":7.45,"BrightRetrieval (biology)":23.55,"BrightRetrieval (earth_science)":25.09,"BrightRetrieval (economics)":19.85,"BrightRetrieval (leetcode)":30.6,"BrightRetrieval (pony)":1.48,"BrightRetrieval (psychology)":24.79,"BrightRetrieval (robotics)":11.21,"BrightRetrieval (stackoverflow)":15.03,"BrightRetrieval (sustainable_living)":15.58,"BrightRetrieval (theoremqa_questions)":26.06,"BrightRetrieval (theoremqa_theorems)":11.1}
|
boards_data/bright_long/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -4,7 +4,7 @@
|
|
4 |
{"index":4,"Rank":4,"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,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":25.96,"BrightRetrieval (biology)":34.87,"BrightRetrieval (earth_science)":38.36,"BrightRetrieval (economics)":27.67,"BrightRetrieval (pony)":1.17,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":10.89,"BrightRetrieval (stackoverflow)":16.67,"BrightRetrieval (sustainable_living)":31.28}
|
5 |
{"index":11,"Rank":5,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":25.54,"BrightRetrieval (biology)":29.93,"BrightRetrieval (earth_science)":36.28,"BrightRetrieval (economics)":26.21,"BrightRetrieval (pony)":1.14,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":17.33,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":32.21}
|
6 |
{"index":1,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":24.62,"BrightRetrieval (biology)":34.38,"BrightRetrieval (earth_science)":35.35,"BrightRetrieval (economics)":26.7,"BrightRetrieval (pony)":1.28,"BrightRetrieval (psychology)":41.58,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":13.68,"BrightRetrieval (sustainable_living)":31.1}
|
7 |
-
{"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
8 |
{"index":13,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":21.88,"BrightRetrieval (biology)":33.09,"BrightRetrieval (earth_science)":32.26,"BrightRetrieval (economics)":24.76,"BrightRetrieval (pony)":0.0,"BrightRetrieval (psychology)":35.15,"BrightRetrieval (robotics)":11.88,"BrightRetrieval (stackoverflow)":11.54,"BrightRetrieval (sustainable_living)":26.34}
|
9 |
{"index":6,"Rank":9,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":18.4,"BrightRetrieval (biology)":31.47,"BrightRetrieval (earth_science)":35.49,"BrightRetrieval (economics)":17.96,"BrightRetrieval (pony)":0.84,"BrightRetrieval (psychology)":20.5,"BrightRetrieval (robotics)":9.9,"BrightRetrieval (stackoverflow)":15.81,"BrightRetrieval (sustainable_living)":15.23}
|
10 |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.21,"BrightRetrieval (biology)":24.11,"BrightRetrieval (earth_science)":29.45,"BrightRetrieval (economics)":14.08,"BrightRetrieval (pony)":3.94,"BrightRetrieval (psychology)":21.29,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":25.42}
|
|
|
4 |
{"index":4,"Rank":4,"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,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":25.96,"BrightRetrieval (biology)":34.87,"BrightRetrieval (earth_science)":38.36,"BrightRetrieval (economics)":27.67,"BrightRetrieval (pony)":1.17,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":10.89,"BrightRetrieval (stackoverflow)":16.67,"BrightRetrieval (sustainable_living)":31.28}
|
5 |
{"index":11,"Rank":5,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":25.54,"BrightRetrieval (biology)":29.93,"BrightRetrieval (earth_science)":36.28,"BrightRetrieval (economics)":26.21,"BrightRetrieval (pony)":1.14,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":17.33,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":32.21}
|
6 |
{"index":1,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":24.62,"BrightRetrieval (biology)":34.38,"BrightRetrieval (earth_science)":35.35,"BrightRetrieval (economics)":26.7,"BrightRetrieval (pony)":1.28,"BrightRetrieval (psychology)":41.58,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":13.68,"BrightRetrieval (sustainable_living)":31.1}
|
7 |
+
{"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":22.44,"BrightRetrieval (biology)":30.91,"BrightRetrieval (earth_science)":38.0,"BrightRetrieval (economics)":21.84,"BrightRetrieval (pony)":0.29,"BrightRetrieval (psychology)":30.69,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":19.23,"BrightRetrieval (sustainable_living)":25.65}
|
8 |
{"index":13,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":21.88,"BrightRetrieval (biology)":33.09,"BrightRetrieval (earth_science)":32.26,"BrightRetrieval (economics)":24.76,"BrightRetrieval (pony)":0.0,"BrightRetrieval (psychology)":35.15,"BrightRetrieval (robotics)":11.88,"BrightRetrieval (stackoverflow)":11.54,"BrightRetrieval (sustainable_living)":26.34}
|
9 |
{"index":6,"Rank":9,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":18.4,"BrightRetrieval (biology)":31.47,"BrightRetrieval (earth_science)":35.49,"BrightRetrieval (economics)":17.96,"BrightRetrieval (pony)":0.84,"BrightRetrieval (psychology)":20.5,"BrightRetrieval (robotics)":9.9,"BrightRetrieval (stackoverflow)":15.81,"BrightRetrieval (sustainable_living)":15.23}
|
10 |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.21,"BrightRetrieval (biology)":24.11,"BrightRetrieval (earth_science)":29.45,"BrightRetrieval (economics)":14.08,"BrightRetrieval (pony)":3.94,"BrightRetrieval (psychology)":21.29,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":25.42}
|
boards_data/en/data_overall/default.jsonl
CHANGED
@@ -15,7 +15,7 @@
|
|
15 |
{"index":9,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":67.13,"Classification Average (12 datasets)":79.25,"Clustering Average (11 datasets)":52.42,"PairClassification Average (3 datasets)":86.87,"Reranking Average (4 datasets)":58.24,"Retrieval Average (15 datasets)":56.6,"STS Average (10 datasets)":85.79,"Summarization Average (1 datasets)":31.01}
|
16 |
{"index":45,"Rank":16,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average (56 datasets)":66.58,"Classification Average (12 datasets)":78.65,"Clustering Average (11 datasets)":50.61,"PairClassification Average (3 datasets)":87.29,"Reranking Average (4 datasets)":60.48,"Retrieval Average (15 datasets)":57.36,"STS Average (10 datasets)":83.35,"Summarization Average (1 datasets)":30.39}
|
17 |
{"index":168,"Rank":17,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":66.4,"Classification Average (12 datasets)":77.37,"Clustering Average (11 datasets)":50.26,"PairClassification Average (3 datasets)":88.42,"Reranking Average (4 datasets)":60.21,"Retrieval Average (15 datasets)":56.87,"STS Average (10 datasets)":84.62,"Summarization Average (1 datasets)":31.53}
|
18 |
-
{"index":1,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
19 |
{"index":228,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":65.96,"Classification Average (12 datasets)":77.17,"Clustering Average (11 datasets)":47.86,"PairClassification Average (3 datasets)":88.27,"Reranking Average (4 datasets)":60.46,"Retrieval Average (15 datasets)":57.05,"STS Average (10 datasets)":84.82,"Summarization Average (1 datasets)":30.83}
|
20 |
{"index":46,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":65.66,"Classification Average (12 datasets)":78.53,"Clustering Average (11 datasets)":50.14,"PairClassification Average (3 datasets)":84.97,"Reranking Average (4 datasets)":59.8,"Retrieval Average (15 datasets)":55.09,"STS Average (10 datasets)":83.26,"Summarization Average (1 datasets)":29.82}
|
21 |
{"index":189,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (56 datasets)":65.51,"Classification Average (12 datasets)":82.58,"Clustering Average (11 datasets)":45.21,"PairClassification Average (3 datasets)":84.01,"Reranking Average (4 datasets)":58.13,"Retrieval Average (15 datasets)":53.88,"STS Average (10 datasets)":85.81,"Summarization Average (1 datasets)":29.71}
|
@@ -30,7 +30,7 @@
|
|
30 |
{"index":8,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":64.49,"Classification Average (12 datasets)":74.79,"Clustering Average (11 datasets)":47.4,"PairClassification Average (3 datasets)":86.57,"Reranking Average (4 datasets)":59.74,"Retrieval Average (15 datasets)":55.58,"STS Average (10 datasets)":82.93,"Summarization Average (1 datasets)":30.97}
|
31 |
{"index":32,"Rank":31,"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)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":64.47,"Classification Average (12 datasets)":76.49,"Clustering Average (11 datasets)":47.43,"PairClassification Average (3 datasets)":85.84,"Reranking Average (4 datasets)":58.01,"Retrieval Average (15 datasets)":55.0,"STS Average (10 datasets)":82.62,"Summarization Average (1 datasets)":30.18}
|
32 |
{"index":91,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":64.41,"Classification Average (12 datasets)":77.56,"Clustering Average (11 datasets)":47.1,"PairClassification Average (3 datasets)":86.19,"Reranking Average (4 datasets)":58.58,"Retrieval Average (15 datasets)":52.47,"STS Average (10 datasets)":84.78,"Summarization Average (1 datasets)":30.39}
|
33 |
-
{"index":0,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
34 |
{"index":129,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":64.34,"Classification Average (12 datasets)":76.01,"Clustering Average (11 datasets)":46.55,"PairClassification Average (3 datasets)":86.7,"Reranking Average (4 datasets)":60.05,"Retrieval Average (15 datasets)":53.44,"STS Average (10 datasets)":84.59,"Summarization Average (1 datasets)":30.96}
|
35 |
{"index":23,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":64.23,"Classification Average (12 datasets)":75.97,"Clustering Average (11 datasets)":46.08,"PairClassification Average (3 datasets)":87.12,"Reranking Average (4 datasets)":60.03,"Retrieval Average (15 datasets)":54.29,"STS Average (10 datasets)":83.11,"Summarization Average (1 datasets)":31.61}
|
36 |
{"index":271,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":64.21,"Classification Average (12 datasets)":75.16,"Clustering Average (11 datasets)":46.46,"PairClassification Average (3 datasets)":87.07,"Reranking Average (4 datasets)":60.0,"Retrieval Average (15 datasets)":53.3,"STS Average (10 datasets)":85.04,"Summarization Average (1 datasets)":31.93}
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15 |
{"index":9,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":67.13,"Classification Average (12 datasets)":79.25,"Clustering Average (11 datasets)":52.42,"PairClassification Average (3 datasets)":86.87,"Reranking Average (4 datasets)":58.24,"Retrieval Average (15 datasets)":56.6,"STS Average (10 datasets)":85.79,"Summarization Average (1 datasets)":31.01}
|
16 |
{"index":45,"Rank":16,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average (56 datasets)":66.58,"Classification Average (12 datasets)":78.65,"Clustering Average (11 datasets)":50.61,"PairClassification Average (3 datasets)":87.29,"Reranking Average (4 datasets)":60.48,"Retrieval Average (15 datasets)":57.36,"STS Average (10 datasets)":83.35,"Summarization Average (1 datasets)":30.39}
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17 |
{"index":168,"Rank":17,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":66.4,"Classification Average (12 datasets)":77.37,"Clustering Average (11 datasets)":50.26,"PairClassification Average (3 datasets)":88.42,"Reranking Average (4 datasets)":60.21,"Retrieval Average (15 datasets)":56.87,"STS Average (10 datasets)":84.62,"Summarization Average (1 datasets)":31.53}
|
18 |
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{"index":1,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average (56 datasets)":66.31,"Classification Average (12 datasets)":81.17,"Clustering Average (11 datasets)":47.48,"PairClassification Average (3 datasets)":87.61,"Reranking Average (4 datasets)":58.9,"Retrieval Average (15 datasets)":55.7,"STS Average (10 datasets)":85.07,"Summarization Average (1 datasets)":32.63}
|
19 |
{"index":228,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":65.96,"Classification Average (12 datasets)":77.17,"Clustering Average (11 datasets)":47.86,"PairClassification Average (3 datasets)":88.27,"Reranking Average (4 datasets)":60.46,"Retrieval Average (15 datasets)":57.05,"STS Average (10 datasets)":84.82,"Summarization Average (1 datasets)":30.83}
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20 |
{"index":46,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":65.66,"Classification Average (12 datasets)":78.53,"Clustering Average (11 datasets)":50.14,"PairClassification Average (3 datasets)":84.97,"Reranking Average (4 datasets)":59.8,"Retrieval Average (15 datasets)":55.09,"STS Average (10 datasets)":83.26,"Summarization Average (1 datasets)":29.82}
|
21 |
{"index":189,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (56 datasets)":65.51,"Classification Average (12 datasets)":82.58,"Clustering Average (11 datasets)":45.21,"PairClassification Average (3 datasets)":84.01,"Reranking Average (4 datasets)":58.13,"Retrieval Average (15 datasets)":53.88,"STS Average (10 datasets)":85.81,"Summarization Average (1 datasets)":29.71}
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|
30 |
{"index":8,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":64.49,"Classification Average (12 datasets)":74.79,"Clustering Average (11 datasets)":47.4,"PairClassification Average (3 datasets)":86.57,"Reranking Average (4 datasets)":59.74,"Retrieval Average (15 datasets)":55.58,"STS Average (10 datasets)":82.93,"Summarization Average (1 datasets)":30.97}
|
31 |
{"index":32,"Rank":31,"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)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":64.47,"Classification Average (12 datasets)":76.49,"Clustering Average (11 datasets)":47.43,"PairClassification Average (3 datasets)":85.84,"Reranking Average (4 datasets)":58.01,"Retrieval Average (15 datasets)":55.0,"STS Average (10 datasets)":82.62,"Summarization Average (1 datasets)":30.18}
|
32 |
{"index":91,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":64.41,"Classification Average (12 datasets)":77.56,"Clustering Average (11 datasets)":47.1,"PairClassification Average (3 datasets)":86.19,"Reranking Average (4 datasets)":58.58,"Retrieval Average (15 datasets)":52.47,"STS Average (10 datasets)":84.78,"Summarization Average (1 datasets)":30.39}
|
33 |
+
{"index":0,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average (56 datasets)":64.37,"Classification Average (12 datasets)":79.0,"Clustering Average (11 datasets)":45.07,"PairClassification Average (3 datasets)":87.29,"Reranking Average (4 datasets)":57.78,"Retrieval Average (15 datasets)":52.44,"STS Average (10 datasets)":84.93,"Summarization Average (1 datasets)":32.36}
|
34 |
{"index":129,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":64.34,"Classification Average (12 datasets)":76.01,"Clustering Average (11 datasets)":46.55,"PairClassification Average (3 datasets)":86.7,"Reranking Average (4 datasets)":60.05,"Retrieval Average (15 datasets)":53.44,"STS Average (10 datasets)":84.59,"Summarization Average (1 datasets)":30.96}
|
35 |
{"index":23,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":64.23,"Classification Average (12 datasets)":75.97,"Clustering Average (11 datasets)":46.08,"PairClassification Average (3 datasets)":87.12,"Reranking Average (4 datasets)":60.03,"Retrieval Average (15 datasets)":54.29,"STS Average (10 datasets)":83.11,"Summarization Average (1 datasets)":31.61}
|
36 |
{"index":271,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":64.21,"Classification Average (12 datasets)":75.16,"Clustering Average (11 datasets)":46.46,"PairClassification Average (3 datasets)":87.07,"Reranking Average (4 datasets)":60.0,"Retrieval Average (15 datasets)":53.3,"STS Average (10 datasets)":85.04,"Summarization Average (1 datasets)":31.93}
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boards_data/en/data_tasks/Classification/default.jsonl
CHANGED
@@ -10,11 +10,11 @@
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|
10 |
{"index":16,"Rank":10,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.47,"AmazonCounterfactualClassification (en)":83.99,"AmazonPolarityClassification":96.61,"AmazonReviewsClassification (en)":55.61,"Banking77Classification":87.31,"EmotionClassification":61.37,"ImdbClassification":95.83,"MassiveIntentClassification (en)":82.4,"MassiveScenarioClassification (en)":84.5,"MTOPDomainClassification (en)":97.69,"MTOPIntentClassification (en)":88.76,"ToxicConversationsClassification":82.66,"TweetSentimentExtractionClassification":72.95}
|
11 |
{"index":191,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.7,"AmazonCounterfactualClassification (en)":87.01,"AmazonPolarityClassification":94.65,"AmazonReviewsClassification (en)":55.76,"Banking77Classification":88.6,"EmotionClassification":74.86,"ImdbClassification":93.59,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":78.93,"MTOPDomainClassification (en)":96.04,"MTOPIntentClassification (en)":89.13,"ToxicConversationsClassification":72.82,"TweetSentimentExtractionClassification":72.54}
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12 |
{"index":6,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":81.49,"AmazonCounterfactualClassification (en)":77.6,"AmazonPolarityClassification":96.58,"AmazonReviewsClassification (en)":50.77,"Banking77Classification":86.96,"EmotionClassification":59.81,"ImdbClassification":96.13,"MassiveIntentClassification (en)":81.08,"MassiveScenarioClassification (en)":87.95,"MTOPDomainClassification (en)":98.86,"MTOPIntentClassification (en)":86.97,"ToxicConversationsClassification":83.58,"TweetSentimentExtractionClassification":71.55}
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13 |
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{"index":1,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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14 |
{"index":61,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.2,"AmazonCounterfactualClassification (en)":84.43,"AmazonPolarityClassification":95.7,"AmazonReviewsClassification (en)":57.64,"Banking77Classification":87.88,"EmotionClassification":51.82,"ImdbClassification":94.78,"MassiveIntentClassification (en)":82.67,"MassiveScenarioClassification (en)":85.01,"MTOPDomainClassification (en)":96.83,"MTOPIntentClassification (en)":89.57,"ToxicConversationsClassification":71.29,"TweetSentimentExtractionClassification":64.76}
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15 |
{"index":15,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":79.6,"AmazonCounterfactualClassification (en)":83.16,"AmazonPolarityClassification":96.7,"AmazonReviewsClassification (en)":62.17,"Banking77Classification":81.68,"EmotionClassification":54.53,"ImdbClassification":95.58,"MassiveIntentClassification (en)":78.47,"MassiveScenarioClassification (en)":78.19,"MTOPDomainClassification (en)":95.75,"MTOPIntentClassification (en)":84.26,"ToxicConversationsClassification":78.75,"TweetSentimentExtractionClassification":66.0}
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16 |
{"index":9,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":79.25,"AmazonCounterfactualClassification (en)":88.31,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":56.25,"Banking77Classification":88.59,"EmotionClassification":50.28,"ImdbClassification":95.75,"MassiveIntentClassification (en)":73.97,"MassiveScenarioClassification (en)":83.99,"MTOPDomainClassification (en)":97.65,"MTOPIntentClassification (en)":75.16,"ToxicConversationsClassification":81.75,"TweetSentimentExtractionClassification":62.98}
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17 |
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{"index":0,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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18 |
{"index":280,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.77,"AmazonCounterfactualClassification (en)":77.76,"AmazonPolarityClassification":96.62,"AmazonReviewsClassification (en)":59.26,"Banking77Classification":83.11,"EmotionClassification":57.72,"ImdbClassification":95.5,"MassiveIntentClassification (en)":77.31,"MassiveScenarioClassification (en)":79.98,"MTOPDomainClassification (en)":96.35,"MTOPIntentClassification (en)":80.52,"ToxicConversationsClassification":75.88,"TweetSentimentExtractionClassification":65.22}
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20 |
{"index":46,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.53,"AmazonCounterfactualClassification (en)":80.48,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":57.18,"Banking77Classification":87.46,"EmotionClassification":50.06,"ImdbClassification":94.32,"MassiveIntentClassification (en)":79.72,"MassiveScenarioClassification (en)":81.09,"MTOPDomainClassification (en)":95.29,"MTOPIntentClassification (en)":87.08,"ToxicConversationsClassification":70.89,"TweetSentimentExtractionClassification":62.48}
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10 |
{"index":16,"Rank":10,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.47,"AmazonCounterfactualClassification (en)":83.99,"AmazonPolarityClassification":96.61,"AmazonReviewsClassification (en)":55.61,"Banking77Classification":87.31,"EmotionClassification":61.37,"ImdbClassification":95.83,"MassiveIntentClassification (en)":82.4,"MassiveScenarioClassification (en)":84.5,"MTOPDomainClassification (en)":97.69,"MTOPIntentClassification (en)":88.76,"ToxicConversationsClassification":82.66,"TweetSentimentExtractionClassification":72.95}
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11 |
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{"index":6,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":81.49,"AmazonCounterfactualClassification (en)":77.6,"AmazonPolarityClassification":96.58,"AmazonReviewsClassification (en)":50.77,"Banking77Classification":86.96,"EmotionClassification":59.81,"ImdbClassification":96.13,"MassiveIntentClassification (en)":81.08,"MassiveScenarioClassification (en)":87.95,"MTOPDomainClassification (en)":98.86,"MTOPIntentClassification (en)":86.97,"ToxicConversationsClassification":83.58,"TweetSentimentExtractionClassification":71.55}
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{"index":1,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":81.17,"AmazonCounterfactualClassification (en)":75.34,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":51.17,"Banking77Classification":88.62,"EmotionClassification":52.51,"ImdbClassification":95.65,"MassiveIntentClassification (en)":80.22,"MassiveScenarioClassification (en)":87.19,"MTOPDomainClassification (en)":98.35,"MTOPIntentClassification (en)":83.43,"ToxicConversationsClassification":89.67,"TweetSentimentExtractionClassification":74.52}
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{"index":61,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.2,"AmazonCounterfactualClassification (en)":84.43,"AmazonPolarityClassification":95.7,"AmazonReviewsClassification (en)":57.64,"Banking77Classification":87.88,"EmotionClassification":51.82,"ImdbClassification":94.78,"MassiveIntentClassification (en)":82.67,"MassiveScenarioClassification (en)":85.01,"MTOPDomainClassification (en)":96.83,"MTOPIntentClassification (en)":89.57,"ToxicConversationsClassification":71.29,"TweetSentimentExtractionClassification":64.76}
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15 |
{"index":15,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":79.6,"AmazonCounterfactualClassification (en)":83.16,"AmazonPolarityClassification":96.7,"AmazonReviewsClassification (en)":62.17,"Banking77Classification":81.68,"EmotionClassification":54.53,"ImdbClassification":95.58,"MassiveIntentClassification (en)":78.47,"MassiveScenarioClassification (en)":78.19,"MTOPDomainClassification (en)":95.75,"MTOPIntentClassification (en)":84.26,"ToxicConversationsClassification":78.75,"TweetSentimentExtractionClassification":66.0}
|
16 |
{"index":9,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":79.25,"AmazonCounterfactualClassification (en)":88.31,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":56.25,"Banking77Classification":88.59,"EmotionClassification":50.28,"ImdbClassification":95.75,"MassiveIntentClassification (en)":73.97,"MassiveScenarioClassification (en)":83.99,"MTOPDomainClassification (en)":97.65,"MTOPIntentClassification (en)":75.16,"ToxicConversationsClassification":81.75,"TweetSentimentExtractionClassification":62.98}
|
17 |
+
{"index":0,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":79.0,"AmazonCounterfactualClassification (en)":70.93,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":48.47,"Banking77Classification":86.01,"EmotionClassification":51.53,"ImdbClassification":95.7,"MassiveIntentClassification (en)":75.67,"MassiveScenarioClassification (en)":85.16,"MTOPDomainClassification (en)":98.02,"MTOPIntentClassification (en)":77.82,"ToxicConversationsClassification":88.33,"TweetSentimentExtractionClassification":72.97}
|
18 |
{"index":280,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.77,"AmazonCounterfactualClassification (en)":77.76,"AmazonPolarityClassification":96.62,"AmazonReviewsClassification (en)":59.26,"Banking77Classification":83.11,"EmotionClassification":57.72,"ImdbClassification":95.5,"MassiveIntentClassification (en)":77.31,"MassiveScenarioClassification (en)":79.98,"MTOPDomainClassification (en)":96.35,"MTOPIntentClassification (en)":80.52,"ToxicConversationsClassification":75.88,"TweetSentimentExtractionClassification":65.22}
|
19 |
{"index":45,"Rank":19,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":78.65,"AmazonCounterfactualClassification (en)":80.54,"AmazonPolarityClassification":96.64,"AmazonReviewsClassification (en)":59.91,"Banking77Classification":84.44,"EmotionClassification":56.01,"ImdbClassification":95.07,"MassiveIntentClassification (en)":79.1,"MassiveScenarioClassification (en)":80.37,"MTOPDomainClassification (en)":95.37,"MTOPIntentClassification (en)":81.23,"ToxicConversationsClassification":68.81,"TweetSentimentExtractionClassification":66.26}
|
20 |
{"index":46,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.53,"AmazonCounterfactualClassification (en)":80.48,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":57.18,"Banking77Classification":87.46,"EmotionClassification":50.06,"ImdbClassification":94.32,"MassiveIntentClassification (en)":79.72,"MassiveScenarioClassification (en)":81.09,"MTOPDomainClassification (en)":95.29,"MTOPIntentClassification (en)":87.08,"ToxicConversationsClassification":70.89,"TweetSentimentExtractionClassification":62.48}
|
boards_data/en/data_tasks/Clustering/default.jsonl
CHANGED
@@ -20,7 +20,7 @@
|
|
20 |
{"index":191,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.4,"ArxivClusteringP2P":48.55,"ArxivClusteringS2S":40.59,"BiorxivClusteringP2P":44.78,"BiorxivClusteringS2S":38.16,"MedrxivClusteringP2P":37.5,"MedrxivClusteringS2S":35.73,"RedditClustering":59.36,"RedditClusteringP2P":64.68,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":38.98,"TwentyNewsgroupsClustering":57.42}
|
21 |
{"index":19,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91}
|
22 |
{"index":228,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
|
23 |
-
{"index":1,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
24 |
{"index":32,"Rank":24,"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)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64}
|
25 |
{"index":8,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":47.4,"ArxivClusteringP2P":47.92,"ArxivClusteringS2S":42.42,"BiorxivClusteringP2P":38.72,"BiorxivClusteringS2S":36.6,"MedrxivClusteringP2P":34.04,"MedrxivClusteringS2S":32.81,"RedditClustering":61.56,"RedditClusteringP2P":65.35,"StackExchangeClustering":70.16,"StackExchangeClusteringP2P":38.23,"TwentyNewsgroupsClustering":53.56}
|
26 |
{"index":91,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":47.1,"ArxivClusteringP2P":46.4,"ArxivClusteringS2S":40.49,"BiorxivClusteringP2P":40.94,"BiorxivClusteringS2S":36.28,"MedrxivClusteringP2P":36.93,"MedrxivClusteringS2S":35.54,"RedditClustering":56.6,"RedditClusteringP2P":64.27,"StackExchangeClustering":66.85,"StackExchangeClusteringP2P":42.46,"TwentyNewsgroupsClustering":51.33}
|
@@ -54,7 +54,7 @@
|
|
54 |
{"index":66,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
|
55 |
{"index":118,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/kalm-embedding-multilingual-mini\">kalm-embedding-multilingual-mini<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.22,"ArxivClusteringP2P":47.38,"ArxivClusteringS2S":38.89,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":33.32,"MedrxivClusteringP2P":34.19,"MedrxivClusteringS2S":32.3,"RedditClustering":56.68,"RedditClusteringP2P":64.65,"StackExchangeClustering":66.98,"StackExchangeClusteringP2P":34.35,"TwentyNewsgroupsClustering":49.19}
|
56 |
{"index":189,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":45.21,"ArxivClusteringP2P":46.66,"ArxivClusteringS2S":39.27,"BiorxivClusteringP2P":38.19,"BiorxivClusteringS2S":34.42,"MedrxivClusteringP2P":34.8,"MedrxivClusteringS2S":32.42,"RedditClustering":55.4,"RedditClusteringP2P":62.87,"StackExchangeClustering":65.66,"StackExchangeClusteringP2P":35.08,"TwentyNewsgroupsClustering":52.49}
|
57 |
-
{"index":0,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
58 |
{"index":205,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.06,"ArxivClusteringP2P":48.5,"ArxivClusteringS2S":42.01,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":35.65,"MedrxivClusteringP2P":32.8,"MedrxivClusteringS2S":30.96,"RedditClustering":55.69,"RedditClusteringP2P":62.33,"StackExchangeClustering":64.81,"StackExchangeClusteringP2P":34.08,"TwentyNewsgroupsClustering":49.5}
|
59 |
{"index":131,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.95,"ArxivClusteringP2P":47.78,"ArxivClusteringS2S":40.13,"BiorxivClusteringP2P":39.4,"BiorxivClusteringS2S":35.1,"MedrxivClusteringP2P":34.71,"MedrxivClusteringS2S":32.15,"RedditClustering":55.4,"RedditClusteringP2P":61.23,"StackExchangeClustering":62.05,"StackExchangeClusteringP2P":36.65,"TwentyNewsgroupsClustering":49.86}
|
60 |
{"index":163,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.9,"ArxivClusteringP2P":47.24,"ArxivClusteringS2S":40.47,"BiorxivClusteringP2P":39.56,"BiorxivClusteringS2S":35.91,"MedrxivClusteringP2P":33.25,"MedrxivClusteringS2S":31.96,"RedditClustering":55.07,"RedditClusteringP2P":62.12,"StackExchangeClustering":64.47,"StackExchangeClusteringP2P":33.8,"TwentyNewsgroupsClustering":50.08}
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|
20 |
{"index":191,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.4,"ArxivClusteringP2P":48.55,"ArxivClusteringS2S":40.59,"BiorxivClusteringP2P":44.78,"BiorxivClusteringS2S":38.16,"MedrxivClusteringP2P":37.5,"MedrxivClusteringS2S":35.73,"RedditClustering":59.36,"RedditClusteringP2P":64.68,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":38.98,"TwentyNewsgroupsClustering":57.42}
|
21 |
{"index":19,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91}
|
22 |
{"index":228,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
|
23 |
+
{"index":1,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":47.48,"ArxivClusteringP2P":46.27,"ArxivClusteringS2S":38.36,"BiorxivClusteringP2P":37.87,"BiorxivClusteringS2S":35.67,"MedrxivClusteringP2P":33.11,"MedrxivClusteringS2S":31.54,"RedditClustering":65.81,"RedditClusteringP2P":66.62,"StackExchangeClustering":74.52,"StackExchangeClusteringP2P":37.63,"TwentyNewsgroupsClustering":54.87}
|
24 |
{"index":32,"Rank":24,"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)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64}
|
25 |
{"index":8,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":47.4,"ArxivClusteringP2P":47.92,"ArxivClusteringS2S":42.42,"BiorxivClusteringP2P":38.72,"BiorxivClusteringS2S":36.6,"MedrxivClusteringP2P":34.04,"MedrxivClusteringS2S":32.81,"RedditClustering":61.56,"RedditClusteringP2P":65.35,"StackExchangeClustering":70.16,"StackExchangeClusteringP2P":38.23,"TwentyNewsgroupsClustering":53.56}
|
26 |
{"index":91,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":47.1,"ArxivClusteringP2P":46.4,"ArxivClusteringS2S":40.49,"BiorxivClusteringP2P":40.94,"BiorxivClusteringS2S":36.28,"MedrxivClusteringP2P":36.93,"MedrxivClusteringS2S":35.54,"RedditClustering":56.6,"RedditClusteringP2P":64.27,"StackExchangeClustering":66.85,"StackExchangeClusteringP2P":42.46,"TwentyNewsgroupsClustering":51.33}
|
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|
54 |
{"index":66,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
|
55 |
{"index":118,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/kalm-embedding-multilingual-mini\">kalm-embedding-multilingual-mini<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.22,"ArxivClusteringP2P":47.38,"ArxivClusteringS2S":38.89,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":33.32,"MedrxivClusteringP2P":34.19,"MedrxivClusteringS2S":32.3,"RedditClustering":56.68,"RedditClusteringP2P":64.65,"StackExchangeClustering":66.98,"StackExchangeClusteringP2P":34.35,"TwentyNewsgroupsClustering":49.19}
|
56 |
{"index":189,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":45.21,"ArxivClusteringP2P":46.66,"ArxivClusteringS2S":39.27,"BiorxivClusteringP2P":38.19,"BiorxivClusteringS2S":34.42,"MedrxivClusteringP2P":34.8,"MedrxivClusteringS2S":32.42,"RedditClustering":55.4,"RedditClusteringP2P":62.87,"StackExchangeClustering":65.66,"StackExchangeClusteringP2P":35.08,"TwentyNewsgroupsClustering":52.49}
|
57 |
+
{"index":0,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":45.07,"ArxivClusteringP2P":44.12,"ArxivClusteringS2S":36.54,"BiorxivClusteringP2P":36.28,"BiorxivClusteringS2S":33.09,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":30.84,"RedditClustering":62.24,"RedditClusteringP2P":63.7,"StackExchangeClustering":70.19,"StackExchangeClusteringP2P":36.1,"TwentyNewsgroupsClustering":50.6}
|
58 |
{"index":205,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.06,"ArxivClusteringP2P":48.5,"ArxivClusteringS2S":42.01,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":35.65,"MedrxivClusteringP2P":32.8,"MedrxivClusteringS2S":30.96,"RedditClustering":55.69,"RedditClusteringP2P":62.33,"StackExchangeClustering":64.81,"StackExchangeClusteringP2P":34.08,"TwentyNewsgroupsClustering":49.5}
|
59 |
{"index":131,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.95,"ArxivClusteringP2P":47.78,"ArxivClusteringS2S":40.13,"BiorxivClusteringP2P":39.4,"BiorxivClusteringS2S":35.1,"MedrxivClusteringP2P":34.71,"MedrxivClusteringS2S":32.15,"RedditClustering":55.4,"RedditClusteringP2P":61.23,"StackExchangeClustering":62.05,"StackExchangeClusteringP2P":36.65,"TwentyNewsgroupsClustering":49.86}
|
60 |
{"index":163,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.9,"ArxivClusteringP2P":47.24,"ArxivClusteringS2S":40.47,"BiorxivClusteringP2P":39.56,"BiorxivClusteringS2S":35.91,"MedrxivClusteringP2P":33.25,"MedrxivClusteringS2S":31.96,"RedditClustering":55.07,"RedditClusteringP2P":62.12,"StackExchangeClustering":64.47,"StackExchangeClusteringP2P":33.8,"TwentyNewsgroupsClustering":50.08}
|
boards_data/en/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -12,13 +12,13 @@
|
|
12 |
{"index":70,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.99,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":80.6,"TwitterURLCorpus":86.56}
|
13 |
{"index":68,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":87.79,"SprintDuplicateQuestions":95.09,"TwitterSemEval2015":81.73,"TwitterURLCorpus":86.56}
|
14 |
{"index":151,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46}
|
15 |
-
{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
16 |
{"index":16,"Rank":16,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58}
|
17 |
{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.41,"SprintDuplicateQuestions":96.07,"TwitterSemEval2015":79.36,"TwitterURLCorpus":86.79}
|
18 |
{"index":104,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
19 |
{"index":195,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
20 |
{"index":190,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5}
|
21 |
-
{"index":0,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
22 |
{"index":45,"Rank":22,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":87.29,"SprintDuplicateQuestions":93.35,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.43}
|
23 |
{"index":116,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33}
|
24 |
{"index":203,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
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|
|
12 |
{"index":70,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.99,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":80.6,"TwitterURLCorpus":86.56}
|
13 |
{"index":68,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":87.79,"SprintDuplicateQuestions":95.09,"TwitterSemEval2015":81.73,"TwitterURLCorpus":86.56}
|
14 |
{"index":151,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46}
|
15 |
+
{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53}
|
16 |
{"index":16,"Rank":16,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58}
|
17 |
{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.41,"SprintDuplicateQuestions":96.07,"TwitterSemEval2015":79.36,"TwitterURLCorpus":86.79}
|
18 |
{"index":104,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
19 |
{"index":195,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98}
|
20 |
{"index":190,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5}
|
21 |
+
{"index":0,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12}
|
22 |
{"index":45,"Rank":22,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":87.29,"SprintDuplicateQuestions":93.35,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.43}
|
23 |
{"index":116,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33}
|
24 |
{"index":203,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
boards_data/en/data_tasks/Reranking/default.jsonl
CHANGED
@@ -36,7 +36,7 @@
|
|
36 |
{"index":205,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45}
|
37 |
{"index":202,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
38 |
{"index":173,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45}
|
39 |
-
{"index":1,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
40 |
{"index":132,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
41 |
{"index":21,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61}
|
42 |
{"index":163,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81}
|
@@ -58,7 +58,7 @@
|
|
58 |
{"index":128,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36}
|
59 |
{"index":209,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.86,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.28,"SciDocsRR":85.01,"StackOverflowDupQuestions":52.75}
|
60 |
{"index":34,"Rank":60,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":57.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":32.59,"SciDocsRR":84.31,"StackOverflowDupQuestions":52.4}
|
61 |
-
{"index":0,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
62 |
{"index":265,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":57.7,"AskUbuntuDupQuestions":61.72,"MindSmallReranking":32.21,"SciDocsRR":84.83,"StackOverflowDupQuestions":52.03}
|
63 |
{"index":18,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":57.66,"AskUbuntuDupQuestions":61.83,"MindSmallReranking":31.34,"SciDocsRR":85.17,"StackOverflowDupQuestions":52.29}
|
64 |
{"index":161,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":57.54,"AskUbuntuDupQuestions":64.3,"MindSmallReranking":31.68,"SciDocsRR":82.0,"StackOverflowDupQuestions":52.17}
|
|
|
36 |
{"index":205,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45}
|
37 |
{"index":202,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16}
|
38 |
{"index":173,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45}
|
39 |
+
{"index":1,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56}
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42 |
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{"index":128,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36}
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59 |
{"index":209,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.86,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.28,"SciDocsRR":85.01,"StackOverflowDupQuestions":52.75}
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60 |
{"index":34,"Rank":60,"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)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":57.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":32.59,"SciDocsRR":84.31,"StackOverflowDupQuestions":52.4}
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{"index":0,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":57.78,"AskUbuntuDupQuestions":63.84,"MindSmallReranking":31.89,"SciDocsRR":81.62,"StackOverflowDupQuestions":53.76}
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62 |
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{"index":18,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":57.66,"AskUbuntuDupQuestions":61.83,"MindSmallReranking":31.34,"SciDocsRR":85.17,"StackOverflowDupQuestions":52.29}
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boards_data/en/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -23,7 +23,7 @@
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|
23 |
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24 |
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26 |
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{"index":1,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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27 |
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29 |
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@@ -49,7 +49,7 @@
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49 |
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50 |
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51 |
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52 |
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{"index":0,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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53 |
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55 |
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23 |
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24 |
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{"index":1,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":55.7,"ArguAna":62.18,"ClimateFEVER":33.21,"CQADupstackRetrieval":48.89,"DBPedia":47.12,"FEVER":86.96,"FiQA2018":59.24,"HotpotQA":71.33,"MSMARCO":32.58,"NFCorpus":40.33,"NQ":61.28,"QuoraRetrieval":88.18,"SCIDOCS":20.34,"SciFact":75.42,"Touche2020":25.86,"TRECCOVID":82.62}
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{"index":294,"Rank":29,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":55.44,"ArguAna":58.05,"ClimateFEVER":30.27,"CQADupstackRetrieval":47.54,"DBPedia":44.76,"FEVER":87.94,"FiQA2018":55.0,"HotpotQA":71.58,"MSMARCO":40.24,"NFCorpus":42.07,"NQ":61.27,"QuoraRetrieval":89.05,"SCIDOCS":23.11,"SciFact":77.77,"Touche2020":23.35,"TRECCOVID":79.56}
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53 |
{"index":216,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":52.4,"ArguAna":47.45,"ClimateFEVER":40.7,"CQADupstackRetrieval":39.06,"DBPedia":42.96,"FEVER":85.7,"FiQA2018":36.92,"HotpotQA":71.48,"MSMARCO":42.29,"NFCorpus":33.31,"NQ":58.83,"QuoraRetrieval":87.87,"SCIDOCS":17.88,"SciFact":70.12,"Touche2020":29.24,"TRECCOVID":82.12}
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54 |
{"index":127,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":52.31,"ArguAna":62.62,"ClimateFEVER":31.49,"CQADupstackRetrieval":43.2,"DBPedia":41.7,"FEVER":86.65,"FiQA2018":40.64,"HotpotQA":68.92,"MSMARCO":40.64,"NFCorpus":37.64,"NQ":53.43,"QuoraRetrieval":88.81,"SCIDOCS":23.47,"SciFact":75.29,"Touche2020":20.58,"TRECCOVID":69.6}
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55 |
{"index":264,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":52.22,"ArguAna":57.16,"ClimateFEVER":28.82,"CQADupstackRetrieval":43.18,"DBPedia":42.37,"FEVER":84.53,"FiQA2018":44.5,"HotpotQA":67.16,"MSMARCO":40.86,"NFCorpus":38.17,"NQ":54.78,"QuoraRetrieval":88.32,"SCIDOCS":23.44,"SciFact":74.27,"Touche2020":25.51,"TRECCOVID":70.22}
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boards_data/en/data_tasks/STS/default.jsonl
CHANGED
@@ -2,14 +2,14 @@
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|
2 |
{"index":121,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.02,"BIOSSES":87.86,"SICK-R":81.01,"STS12":85.52,"STS13":89.37,"STS14":91.61,"STS15":92.02,"STS16":86.29,"STS17 (en-en)":88.71,"STS22 (en)":68.58,"STSBenchmark":89.28}
|
3 |
{"index":189,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
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4 |
{"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56}
|
5 |
-
{"index":1,"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\">text-embedding-preview-
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6 |
{"index":103,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
|
7 |
{"index":271,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
|
8 |
{"index":173,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
|
9 |
{"index":203,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
|
10 |
{"index":56,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.99,"BIOSSES":88.38,"SICK-R":83.0,"STS12":79.22,"STS13":89.43,"STS14":84.79,"STS15":89.54,"STS16":86.69,"STS17 (en-en)":89.64,"STS22 (en)":70.26,"STSBenchmark":88.96}
|
11 |
{"index":61,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"BIOSSES":86.4,"SICK-R":84.31,"STS12":78.44,"STS13":88.27,"STS14":84.49,"STS15":90.28,"STS16":87.37,"STS17 (en-en)":92.68,"STS22 (en)":68.62,"STSBenchmark":88.81}
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12 |
-
{"index":0,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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13 |
{"index":202,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.9,"BIOSSES":88.06,"SICK-R":82.05,"STS12":78.77,"STS13":90.4,"STS14":85.45,"STS15":90.01,"STS16":87.42,"STS17 (en-en)":88.8,"STS22 (en)":68.8,"STSBenchmark":89.2}
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14 |
{"index":228,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.82,"BIOSSES":87.28,"SICK-R":82.33,"STS12":79.7,"STS13":89.21,"STS14":86.01,"STS15":89.7,"STS16":87.68,"STS17 (en-en)":88.03,"STS22 (en)":70.16,"STSBenchmark":88.15}
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15 |
{"index":91,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.78,"BIOSSES":86.96,"SICK-R":81.73,"STS12":82.57,"STS13":87.15,"STS14":84.97,"STS15":91.05,"STS16":87.31,"STS17 (en-en)":90.03,"STS22 (en)":67.63,"STSBenchmark":88.38}
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|
2 |
{"index":121,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.02,"BIOSSES":87.86,"SICK-R":81.01,"STS12":85.52,"STS13":89.37,"STS14":91.61,"STS15":92.02,"STS16":86.29,"STS17 (en-en)":88.71,"STS22 (en)":68.58,"STSBenchmark":89.28}
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3 |
{"index":189,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":85.81,"BIOSSES":88.69,"SICK-R":89.62,"STS12":82.44,"STS13":89.49,"STS14":84.95,"STS15":89.31,"STS16":86.85,"STS17 (en-en)":90.0,"STS22 (en)":67.28,"STSBenchmark":89.44}
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{"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":85.79,"BIOSSES":89.7,"SICK-R":78.44,"STS12":86.46,"STS13":87.76,"STS14":86.6,"STS15":90.1,"STS16":86.39,"STS17 (en-en)":86.98,"STS22 (en)":76.89,"STSBenchmark":88.56}
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{"index":103,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":85.05,"BIOSSES":86.07,"SICK-R":82.92,"STS12":79.47,"STS13":89.15,"STS14":84.93,"STS15":90.74,"STS16":87.82,"STS17 (en-en)":92.02,"STS22 (en)":68.36,"STSBenchmark":89.0}
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{"index":271,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.04,"BIOSSES":89.15,"SICK-R":82.83,"STS12":78.65,"STS13":90.0,"STS14":84.97,"STS15":89.81,"STS16":86.71,"STS17 (en-en)":89.8,"STS22 (en)":69.67,"STSBenchmark":88.77}
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{"index":173,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.03,"BIOSSES":87.46,"SICK-R":81.73,"STS12":82.53,"STS13":88.05,"STS14":84.83,"STS15":91.02,"STS16":87.32,"STS17 (en-en)":90.33,"STS22 (en)":68.67,"STSBenchmark":88.39}
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{"index":203,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.0,"BIOSSES":88.41,"SICK-R":82.92,"STS12":78.76,"STS13":90.35,"STS14":85.46,"STS15":89.62,"STS16":86.58,"STS17 (en-en)":89.5,"STS22 (en)":69.34,"STSBenchmark":89.1}
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{"index":56,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.99,"BIOSSES":88.38,"SICK-R":83.0,"STS12":79.22,"STS13":89.43,"STS14":84.79,"STS15":89.54,"STS16":86.69,"STS17 (en-en)":89.64,"STS22 (en)":70.26,"STSBenchmark":88.96}
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11 |
{"index":61,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"BIOSSES":86.4,"SICK-R":84.31,"STS12":78.44,"STS13":88.27,"STS14":84.49,"STS15":90.28,"STS16":87.37,"STS17 (en-en)":92.68,"STS22 (en)":68.62,"STSBenchmark":88.81}
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{"index":0,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":84.93,"BIOSSES":89.42,"SICK-R":81.67,"STS12":78.02,"STS13":90.1,"STS14":85.44,"STS15":89.64,"STS16":87.24,"STS17 (en-en)":90.46,"STS22 (en)":67.99,"STSBenchmark":89.33}
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13 |
{"index":202,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.9,"BIOSSES":88.06,"SICK-R":82.05,"STS12":78.77,"STS13":90.4,"STS14":85.45,"STS15":90.01,"STS16":87.42,"STS17 (en-en)":88.8,"STS22 (en)":68.8,"STSBenchmark":89.2}
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14 |
{"index":228,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.82,"BIOSSES":87.28,"SICK-R":82.33,"STS12":79.7,"STS13":89.21,"STS14":86.01,"STS15":89.7,"STS16":87.68,"STS17 (en-en)":88.03,"STS22 (en)":70.16,"STSBenchmark":88.15}
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15 |
{"index":91,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.78,"BIOSSES":86.96,"SICK-R":81.73,"STS12":82.57,"STS13":87.15,"STS14":84.97,"STS15":91.05,"STS16":87.31,"STS17 (en-en)":90.03,"STS22 (en)":67.63,"STSBenchmark":88.38}
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boards_data/en/data_tasks/Summarization/default.jsonl
CHANGED
@@ -1,9 +1,9 @@
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1 |
{"index":133,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":33.6}
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2 |
{"index":203,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.71}
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3 |
-
{"index":1,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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4 |
{"index":163,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.52}
|
5 |
{"index":106,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/yiyouliao\">yiyouliao<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":32.47}
|
6 |
-
{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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7 |
{"index":162,"Rank":7,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.32}
|
8 |
{"index":95,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-labse-Matryoshka\">Arabic-labse-Matryoshka<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.17}
|
9 |
{"index":56,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.12}
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1 |
{"index":133,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":33.6}
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2 |
{"index":203,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.71}
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3 |
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{"index":1,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":32.63}
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4 |
{"index":163,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.52}
|
5 |
{"index":106,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/yiyouliao\">yiyouliao<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":32.47}
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6 |
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{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"SummEval":32.36}
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7 |
{"index":162,"Rank":7,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.32}
|
8 |
{"index":95,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-labse-Matryoshka\">Arabic-labse-Matryoshka<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.17}
|
9 |
{"index":56,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.12}
|
boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
{"index":9,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":4.72,"Core17InstructionRetrieval":1.32,"News21InstructionRetrieval":8.95,"Robust04InstructionRetrieval":3.9}
|
4 |
{"index":3,"Rank":4,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":3.45,"Core17InstructionRetrieval":6.7,"News21InstructionRetrieval":1.22,"Robust04InstructionRetrieval":2.44}
|
5 |
{"index":5,"Rank":5,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":2.53,"Core17InstructionRetrieval":1.84,"News21InstructionRetrieval":1.78,"Robust04InstructionRetrieval":3.96}
|
6 |
-
{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
7 |
{"index":20,"Rank":7,"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,"Embedding Dimensions":-1,"Max Tokens":4096,"Average":1.69,"Core17InstructionRetrieval":2.84,"News21InstructionRetrieval":0.23,"Robust04InstructionRetrieval":2.0}
|
8 |
{"index":7,"Rank":8,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":1.36,"Core17InstructionRetrieval":2.82,"News21InstructionRetrieval":1.99,"Robust04InstructionRetrieval":-0.72}
|
9 |
{"index":8,"Rank":9,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":0.64,"Core17InstructionRetrieval":-3.31,"News21InstructionRetrieval":-0.12,"Robust04InstructionRetrieval":5.35}
|
|
|
3 |
{"index":9,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":4.72,"Core17InstructionRetrieval":1.32,"News21InstructionRetrieval":8.95,"Robust04InstructionRetrieval":3.9}
|
4 |
{"index":3,"Rank":4,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":3.45,"Core17InstructionRetrieval":6.7,"News21InstructionRetrieval":1.22,"Robust04InstructionRetrieval":2.44}
|
5 |
{"index":5,"Rank":5,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":2.53,"Core17InstructionRetrieval":1.84,"News21InstructionRetrieval":1.78,"Robust04InstructionRetrieval":3.96}
|
6 |
+
{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":2.33,"Core17InstructionRetrieval":5.44,"News21InstructionRetrieval":3.94,"Robust04InstructionRetrieval":-2.4}
|
7 |
{"index":20,"Rank":7,"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,"Embedding Dimensions":-1,"Max Tokens":4096,"Average":1.69,"Core17InstructionRetrieval":2.84,"News21InstructionRetrieval":0.23,"Robust04InstructionRetrieval":2.0}
|
8 |
{"index":7,"Rank":8,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":1.36,"Core17InstructionRetrieval":2.82,"News21InstructionRetrieval":1.99,"Robust04InstructionRetrieval":-0.72}
|
9 |
{"index":8,"Rank":9,"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,"Embedding Dimensions":-1,"Max Tokens":512,"Average":0.64,"Core17InstructionRetrieval":-3.31,"News21InstructionRetrieval":-0.12,"Robust04InstructionRetrieval":5.35}
|
boards_data/other-sts/data_tasks/STS/default.jsonl
CHANGED
@@ -30,8 +30,8 @@
|
|
30 |
{"index":78,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":27.72,"STS17 (ar-ar)":54.16,"STS17 (en-ar)":1.72,"STS17 (en-de)":25.48,"STS17 (en-tr)":2.09,"STS17 (es-en)":21.93,"STS17 (es-es)":67.8,"STS17 (fr-en)":18.91,"STS17 (it-en)":16.39,"STS17 (ko-ko)":45.66,"STS17 (nl-en)":23.49,"STS22 (ar)":5.17,"STS22 (de)":11.0,"STS22 (de-en)":53.93,"STS22 (de-fr)":25.11,"STS22 (de-pl)":20.94,"STS22 (es)":43.05,"STS22 (es-en)":32.74,"STS22 (es-it)":35.99,"STS22 (fr)":54.56,"STS22 (fr-pl)":5.63,"STS22 (it)":33.68,"STS22 (pl)":14.91,"STS22 (pl-en)":20.54,"STS22 (ru)":3.36,"STS22 (tr)":3.82,"STS22 (zh-en)":26.71,"STSBenchmark":79.54}
|
31 |
{"index":232,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/allenai-specter\">allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":25.1,"STS17 (ar-ar)":27.14,"STS17 (en-ar)":6.9,"STS17 (en-de)":11.59,"STS17 (en-tr)":6.46,"STS17 (es-en)":10.86,"STS17 (es-es)":55.45,"STS17 (fr-en)":16.02,"STS17 (it-en)":19.87,"STS17 (ko-ko)":8.08,"STS17 (nl-en)":24.92,"STS22 (ar)":19.57,"STS22 (de)":17.31,"STS22 (de-en)":26.03,"STS22 (de-fr)":10.26,"STS22 (de-pl)":16.94,"STS22 (es)":48.89,"STS22 (es-en)":51.79,"STS22 (es-it)":25.24,"STS22 (fr)":53.92,"STS22 (fr-pl)":39.44,"STS22 (it)":39.43,"STS22 (pl)":13.56,"STS22 (pl-en)":25.36,"STS22 (ru)":1.11,"STS22 (tr)":31.73,"STS22 (zh-en)":8.44,"STSBenchmark":61.26}
|
32 |
{"index":234,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":24.28,"STS17 (ar-ar)":13.78,"STS17 (en-ar)":9.08,"STS17 (en-de)":-3.11,"STS17 (en-tr)":-0.45,"STS17 (es-en)":-8.18,"STS17 (es-es)":48.23,"STS17 (fr-en)":5.81,"STS17 (it-en)":3.64,"STS17 (ko-ko)":2.54,"STS17 (nl-en)":0.44,"STS22 (ar)":32.42,"STS22 (de)":33.04,"STS22 (de-en)":28.65,"STS22 (de-fr)":14.77,"STS22 (de-pl)":11.21,"STS22 (es)":48.53,"STS22 (es-en)":26.97,"STS22 (es-it)":41.1,"STS22 (fr)":49.43,"STS22 (fr-pl)":39.44,"STS22 (it)":57.77,"STS22 (pl)":12.47,"STS22 (pl-en)":45.55,"STS22 (ru)":19.44,"STS22 (tr)":47.38,"STS22 (zh-en)":14.05,"STSBenchmark":61.55}
|
33 |
-
{"index":0,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
34 |
-
{"index":1,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
35 |
{"index":2,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":74.85}
|
36 |
{"index":3,"Rank":36,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":82.74,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
|
37 |
{"index":4,"Rank":37,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":70.51,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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|
|
30 |
{"index":78,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":27.72,"STS17 (ar-ar)":54.16,"STS17 (en-ar)":1.72,"STS17 (en-de)":25.48,"STS17 (en-tr)":2.09,"STS17 (es-en)":21.93,"STS17 (es-es)":67.8,"STS17 (fr-en)":18.91,"STS17 (it-en)":16.39,"STS17 (ko-ko)":45.66,"STS17 (nl-en)":23.49,"STS22 (ar)":5.17,"STS22 (de)":11.0,"STS22 (de-en)":53.93,"STS22 (de-fr)":25.11,"STS22 (de-pl)":20.94,"STS22 (es)":43.05,"STS22 (es-en)":32.74,"STS22 (es-it)":35.99,"STS22 (fr)":54.56,"STS22 (fr-pl)":5.63,"STS22 (it)":33.68,"STS22 (pl)":14.91,"STS22 (pl-en)":20.54,"STS22 (ru)":3.36,"STS22 (tr)":3.82,"STS22 (zh-en)":26.71,"STSBenchmark":79.54}
|
31 |
{"index":232,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/allenai-specter\">allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":25.1,"STS17 (ar-ar)":27.14,"STS17 (en-ar)":6.9,"STS17 (en-de)":11.59,"STS17 (en-tr)":6.46,"STS17 (es-en)":10.86,"STS17 (es-es)":55.45,"STS17 (fr-en)":16.02,"STS17 (it-en)":19.87,"STS17 (ko-ko)":8.08,"STS17 (nl-en)":24.92,"STS22 (ar)":19.57,"STS22 (de)":17.31,"STS22 (de-en)":26.03,"STS22 (de-fr)":10.26,"STS22 (de-pl)":16.94,"STS22 (es)":48.89,"STS22 (es-en)":51.79,"STS22 (es-it)":25.24,"STS22 (fr)":53.92,"STS22 (fr-pl)":39.44,"STS22 (it)":39.43,"STS22 (pl)":13.56,"STS22 (pl-en)":25.36,"STS22 (ru)":1.11,"STS22 (tr)":31.73,"STS22 (zh-en)":8.44,"STSBenchmark":61.26}
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32 |
{"index":234,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average":24.28,"STS17 (ar-ar)":13.78,"STS17 (en-ar)":9.08,"STS17 (en-de)":-3.11,"STS17 (en-tr)":-0.45,"STS17 (es-en)":-8.18,"STS17 (es-es)":48.23,"STS17 (fr-en)":5.81,"STS17 (it-en)":3.64,"STS17 (ko-ko)":2.54,"STS17 (nl-en)":0.44,"STS22 (ar)":32.42,"STS22 (de)":33.04,"STS22 (de-en)":28.65,"STS22 (de-fr)":14.77,"STS22 (de-pl)":11.21,"STS22 (es)":48.53,"STS22 (es-en)":26.97,"STS22 (es-it)":41.1,"STS22 (fr)":49.43,"STS22 (fr-pl)":39.44,"STS22 (it)":57.77,"STS22 (pl)":12.47,"STS22 (pl-en)":45.55,"STS22 (ru)":19.44,"STS22 (tr)":47.38,"STS22 (zh-en)":14.05,"STSBenchmark":61.55}
|
33 |
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{"index":0,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":89.33}
|
34 |
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{"index":1,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":88.99}
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35 |
{"index":2,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":74.85}
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36 |
{"index":3,"Rank":36,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":82.74,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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37 |
{"index":4,"Rank":37,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":70.51,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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boards_data/zh/data_overall/default.jsonl
CHANGED
@@ -63,8 +63,8 @@
|
|
63 |
{"index":49,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":44.59,"Classification Average (9 datasets)":62.7,"Clustering Average (4 datasets)":39.67,"PairClassification Average (2 datasets)":80.9,"Reranking Average (4 datasets)":44.91,"Retrieval Average (8 datasets)":22.92,"STS Average (8 datasets)":39.11}
|
64 |
{"index":171,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":35.89,"Classification Average (9 datasets)":57.87,"Clustering Average (4 datasets)":34.44,"PairClassification Average (2 datasets)":58.52,"Reranking Average (4 datasets)":32.84,"Retrieval Average (8 datasets)":7.15,"STS Average (8 datasets)":36.48}
|
65 |
{"index":304,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":23.88,"Classification Average (9 datasets)":38.04,"Clustering Average (4 datasets)":18.34,"PairClassification Average (2 datasets)":56.7,"Reranking Average (4 datasets)":25.86,"Retrieval Average (8 datasets)":4.52,"STS Average (8 datasets)":20.86}
|
66 |
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{"index":0,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
67 |
-
{"index":1,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
68 |
{"index":2,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
|
69 |
{"index":4,"Rank":70,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
|
70 |
{"index":5,"Rank":71,"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)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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|
|
63 |
{"index":49,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":44.59,"Classification Average (9 datasets)":62.7,"Clustering Average (4 datasets)":39.67,"PairClassification Average (2 datasets)":80.9,"Reranking Average (4 datasets)":44.91,"Retrieval Average (8 datasets)":22.92,"STS Average (8 datasets)":39.11}
|
64 |
{"index":171,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":35.89,"Classification Average (9 datasets)":57.87,"Clustering Average (4 datasets)":34.44,"PairClassification Average (2 datasets)":58.52,"Reranking Average (4 datasets)":32.84,"Retrieval Average (8 datasets)":7.15,"STS Average (8 datasets)":36.48}
|
65 |
{"index":304,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":23.88,"Classification Average (9 datasets)":38.04,"Clustering Average (4 datasets)":18.34,"PairClassification Average (2 datasets)":56.7,"Reranking Average (4 datasets)":25.86,"Retrieval Average (8 datasets)":4.52,"STS Average (8 datasets)":20.86}
|
66 |
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{"index":0,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
|
67 |
+
{"index":1,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
|
68 |
{"index":2,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
|
69 |
{"index":4,"Rank":70,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
|
70 |
{"index":5,"Rank":71,"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)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
|
boards_data/zh/data_tasks/Classification/default.jsonl
CHANGED
@@ -73,8 +73,8 @@
|
|
73 |
{"index":304,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.04,"AmazonReviewsClassification (zh)":21.96,"IFlyTek":20.35,"JDReview":55.5,"MassiveIntentClassification (zh-CN)":25.39,"MassiveScenarioClassification (zh-CN)":40.35,"MultilingualSentiment":38.94,"OnlineShopping":56.89,"TNews":26.79,"Waimai":56.22}
|
74 |
{"index":270,"Rank":74,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.74,"AmazonReviewsClassification (zh)":23.67,"IFlyTek":16.09,"JDReview":59.98,"MassiveIntentClassification (zh-CN)":24.4,"MassiveScenarioClassification (zh-CN)":33.65,"MultilingualSentiment":41.28,"OnlineShopping":57.74,"TNews":20.12,"Waimai":62.72}
|
75 |
{"index":269,"Rank":75,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.53,"AmazonReviewsClassification (zh)":22.99,"IFlyTek":15.31,"JDReview":59.57,"MassiveIntentClassification (zh-CN)":23.74,"MassiveScenarioClassification (zh-CN)":33.18,"MultilingualSentiment":40.52,"OnlineShopping":58.65,"TNews":20.37,"Waimai":63.48}
|
76 |
-
{"index":0,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
77 |
-
{"index":1,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
78 |
{"index":2,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
79 |
{"index":3,"Rank":79,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
80 |
{"index":4,"Rank":80,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
|
|
73 |
{"index":304,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.04,"AmazonReviewsClassification (zh)":21.96,"IFlyTek":20.35,"JDReview":55.5,"MassiveIntentClassification (zh-CN)":25.39,"MassiveScenarioClassification (zh-CN)":40.35,"MultilingualSentiment":38.94,"OnlineShopping":56.89,"TNews":26.79,"Waimai":56.22}
|
74 |
{"index":270,"Rank":74,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.74,"AmazonReviewsClassification (zh)":23.67,"IFlyTek":16.09,"JDReview":59.98,"MassiveIntentClassification (zh-CN)":24.4,"MassiveScenarioClassification (zh-CN)":33.65,"MultilingualSentiment":41.28,"OnlineShopping":57.74,"TNews":20.12,"Waimai":62.72}
|
75 |
{"index":269,"Rank":75,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.53,"AmazonReviewsClassification (zh)":22.99,"IFlyTek":15.31,"JDReview":59.57,"MassiveIntentClassification (zh-CN)":23.74,"MassiveScenarioClassification (zh-CN)":33.18,"MultilingualSentiment":40.52,"OnlineShopping":58.65,"TNews":20.37,"Waimai":63.48}
|
76 |
+
{"index":0,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
77 |
+
{"index":1,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
78 |
{"index":2,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
79 |
{"index":3,"Rank":79,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
|
80 |
{"index":4,"Rank":80,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""}
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boards_data/zh/data_tasks/Clustering/default.jsonl
CHANGED
@@ -67,8 +67,8 @@
|
|
67 |
{"index":45,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":31.8,"CLSClusteringP2P":34.98,"CLSClusteringS2S":27.82,"ThuNewsClusteringP2P":40.17,"ThuNewsClusteringS2S":24.23}
|
68 |
{"index":55,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":30.02,"CLSClusteringP2P":30.13,"CLSClusteringS2S":28.77,"ThuNewsClusteringP2P":35.05,"ThuNewsClusteringS2S":26.14}
|
69 |
{"index":304,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":18.34,"CLSClusteringP2P":18.66,"CLSClusteringS2S":16.82,"ThuNewsClusteringP2P":20.69,"ThuNewsClusteringS2S":17.19}
|
70 |
-
{"index":0,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
71 |
-
{"index":1,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
72 |
{"index":2,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
73 |
{"index":3,"Rank":73,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
74 |
{"index":4,"Rank":74,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
|
|
67 |
{"index":45,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":31.8,"CLSClusteringP2P":34.98,"CLSClusteringS2S":27.82,"ThuNewsClusteringP2P":40.17,"ThuNewsClusteringS2S":24.23}
|
68 |
{"index":55,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":30.02,"CLSClusteringP2P":30.13,"CLSClusteringS2S":28.77,"ThuNewsClusteringP2P":35.05,"ThuNewsClusteringS2S":26.14}
|
69 |
{"index":304,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":18.34,"CLSClusteringP2P":18.66,"CLSClusteringS2S":16.82,"ThuNewsClusteringP2P":20.69,"ThuNewsClusteringS2S":17.19}
|
70 |
+
{"index":0,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
71 |
+
{"index":1,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
72 |
{"index":2,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
73 |
{"index":3,"Rank":73,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
|
74 |
{"index":4,"Rank":74,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""}
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boards_data/zh/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -68,8 +68,8 @@
|
|
68 |
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{"index":0,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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72 |
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{"index":1,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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73 |
{"index":2,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","Cmnli":"","Ocnli":""}
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74 |
{"index":3,"Rank":74,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","Cmnli":"","Ocnli":""}
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{"index":4,"Rank":75,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","Cmnli":"","Ocnli":""}
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68 |
{"index":236,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/m3e-ernie-xbase-zh\">m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":62.84,"Cmnli":65.68,"Ocnli":59.99}
|
69 |
{"index":171,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.52,"Cmnli":61.86,"Ocnli":55.18}
|
70 |
{"index":304,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":56.7,"Cmnli":57.78,"Ocnli":55.63}
|
71 |
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{"index":0,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""}
|
72 |
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{"index":1,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""}
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73 |
{"index":2,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","Cmnli":"","Ocnli":""}
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74 |
{"index":3,"Rank":74,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","Cmnli":"","Ocnli":""}
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75 |
{"index":4,"Rank":75,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","Cmnli":"","Ocnli":""}
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boards_data/zh/data_tasks/Reranking/default.jsonl
CHANGED
@@ -81,8 +81,8 @@
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|
81 |
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82 |
{"index":171,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":32.84,"CMedQAv1":34.31,"CMedQAv2":35.88,"MMarcoReranking":5.83,"T2Reranking":55.35}
|
83 |
{"index":304,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":25.86,"CMedQAv1":19.72,"CMedQAv2":22.48,"MMarcoReranking":1.17,"T2Reranking":60.05}
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84 |
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{"index":0,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
85 |
-
{"index":1,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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86 |
{"index":2,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
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87 |
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88 |
{"index":4,"Rank":88,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
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81 |
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|
82 |
{"index":171,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":32.84,"CMedQAv1":34.31,"CMedQAv2":35.88,"MMarcoReranking":5.83,"T2Reranking":55.35}
|
83 |
{"index":304,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":25.86,"CMedQAv1":19.72,"CMedQAv2":22.48,"MMarcoReranking":1.17,"T2Reranking":60.05}
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84 |
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{"index":0,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
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85 |
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{"index":1,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
|
86 |
{"index":2,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
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87 |
{"index":3,"Rank":87,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
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88 |
{"index":4,"Rank":88,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
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boards_data/zh/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -85,8 +85,8 @@
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85 |
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86 |
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87 |
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{"index":0,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
|
89 |
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{"index":1,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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90 |
{"index":2,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
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91 |
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92 |
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85 |
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86 |
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88 |
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89 |
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90 |
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91 |
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|
92 |
{"index":4,"Rank":92,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
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boards_data/zh/data_tasks/STS/default.jsonl
CHANGED
@@ -64,8 +64,8 @@
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|
64 |
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65 |
{"index":171,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":36.48,"AFQMC":17.63,"ATEC":26.18,"BQ":37.66,"LCQMC":50.11,"PAWSX":32.75,"QBQTC":24.48,"STS22 (zh)":52.82,"STSB":50.18}
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66 |
{"index":304,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":20.86,"AFQMC":3.76,"ATEC":10.09,"BQ":19.31,"LCQMC":42.15,"PAWSX":6.14,"QBQTC":6.12,"STS22 (zh)":33.7,"STSB":45.6}
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67 |
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{"index":0,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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68 |
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{"index":1,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-
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69 |
{"index":2,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
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70 |
{"index":3,"Rank":70,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
71 |
{"index":4,"Rank":71,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
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|
64 |
{"index":49,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84}
|
65 |
{"index":171,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":36.48,"AFQMC":17.63,"ATEC":26.18,"BQ":37.66,"LCQMC":50.11,"PAWSX":32.75,"QBQTC":24.48,"STS22 (zh)":52.82,"STSB":50.18}
|
66 |
{"index":304,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":20.86,"AFQMC":3.76,"ATEC":10.09,"BQ":19.31,"LCQMC":42.15,"PAWSX":6.14,"QBQTC":6.12,"STS22 (zh)":33.7,"STSB":45.6}
|
67 |
+
{"index":0,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
68 |
+
{"index":1,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
69 |
{"index":2,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
70 |
{"index":3,"Rank":70,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
71 |
{"index":4,"Rank":71,"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)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""}
|
model_meta.yaml
CHANGED
@@ -811,7 +811,7 @@ model_meta:
|
|
811 |
is_proprietary: false
|
812 |
is_sentence_transformers_compatible: true
|
813 |
uses_instruct: false
|
814 |
-
google-gecko__text-embedding-preview-
|
815 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
816 |
seq_len: 2048
|
817 |
size: 1200
|
@@ -820,7 +820,7 @@ model_meta:
|
|
820 |
is_proprietary: true
|
821 |
is_sentence_transformers_compatible: false
|
822 |
uses_instruct: false
|
823 |
-
google-gecko__text-embedding-preview-
|
824 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
825 |
seq_len: 2048
|
826 |
size: 1200
|
|
|
811 |
is_proprietary: false
|
812 |
is_sentence_transformers_compatible: true
|
813 |
uses_instruct: false
|
814 |
+
google-gecko__text-embedding-preview-004-256:
|
815 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
816 |
seq_len: 2048
|
817 |
size: 1200
|
|
|
820 |
is_proprietary: true
|
821 |
is_sentence_transformers_compatible: false
|
822 |
uses_instruct: false
|
823 |
+
google-gecko__text-embedding-preview-004:
|
824 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
825 |
seq_len: 2048
|
826 |
size: 1200
|
refresh.py
CHANGED
@@ -472,6 +472,7 @@ def get_mteb_data(
|
|
472 |
for res in task_results
|
473 |
]
|
474 |
except Exception as e:
|
|
|
475 |
print("ERROR", model.modelId, e)
|
476 |
continue
|
477 |
out = {k: v for d in out for k, v in d.items()}
|
|
|
472 |
for res in task_results
|
473 |
]
|
474 |
except Exception as e:
|
475 |
+
if 'ILKT' in model.modelId: continue
|
476 |
print("ERROR", model.modelId, e)
|
477 |
continue
|
478 |
out = {k: v for d in out for k, v in d.items()}
|