microsoft/LLMLingua
View on GitHub[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
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- 6.7k
- Forks
- 428
- Open beginner issues
- 0
- Indexed issues
- 101
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 1
- Dominant language
- Python
- License
- MIT
- Last GitHub push
- Sep 10, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- Code of conduct
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Difficulty 5/5 Over a week Newbie friendliness 42/100
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[Bug]: When calling slingua through PromptCompressor, use_llmlingua2 should also be set to true. Openbug
Difficulty 2/5 1-3 hours Newbie friendliness 55/100
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Difficulty 1/5 Under an hour Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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microsoft/LLMLingua#220 · 2 comments · 1 reaction · 1 assignee ·
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microsoft/LLMLingua#210 · 4 comments · 1 reaction · 1 assignee ·
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Difficulty 4/5 3-5 days Newbie friendliness 28/100
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Difficulty 5/5 Over a week Newbie friendliness 15/100
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[Bug]: ZeroDivisionError: float division by zero upon using compress_json with `use_llmlingua2` Openbug
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[Feature Request]: How to improve the accuracy of compressor for large SFT models through training Openfeature request
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[Question]: Reproducing the score of official microsoft/llmlingua-2-xlm-roberta-large-meetingbank Openquestion
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[Bug]: 返回中文会出现乱码 Openbug
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