Provence: lightweight context pruning models for retrieval-augmented generation. Blogpost: https://huggingface.co/blog/nadiinchi/provence

NAVER LABS Europe
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3D vision, speech, NLP, neural retrieval, computer vision, LLM, FMs, visual localization, robotics
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6
Compression Models for RAG
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Context Embeddings for Efficient Answer Generation in RAG
Paper • 2407.09252 • Published • 2 -
naver/cocom-v1-128-mistral-7b
Feature Extraction • Updated • 80 • 4 -
naver/cocom-v1-16-mistral-7b
Feature Extraction • Updated • 21 -
naver/cocom-v1-4-mistral-7b
Feature Extraction • Updated • 41 • 2
spaces
5
models
50

naver/oscar-mistral-small-24b
Updated
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35
•
1

naver/oscar-qwen2-7B
Updated
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73
•
1

naver/oscar-mistral-7B
Updated
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112
•
1

naver/pisco-llama
Updated
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54
•
3

naver/pisco-solar
Updated
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44
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4

naver/pisco-mistral
Updated
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118
•
3

naver/provence-reranker-debertav3-v1
Updated
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307
•
10

naver/multiHMR_896_L
Updated
•
3

naver/cocom-v1-128-mistral-7b
Feature Extraction
•
Updated
•
80
•
4

naver/cocom-v1-4-mistral-7b
Feature Extraction
•
Updated
•
41
•
2