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microsoft / LLMLingua

[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.

Repository stars
6,806All-time #8,499
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451
Last push
updated 1 months ago
Repository created
since 2023
Apps & systemsAI appsPythonMIT · Permissive
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Summarised by AI from the README; the original prevails

Author description: [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.

Basic listing based on official public information; functionality has not been independently evaluated.

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Star trend

Includes values estimated from GitHub history
6,7256,7626,79810-0710-1210-1710-2210-2711-0111-05
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 09:24 UTC6,806Source
2026-11-03 08:25 UTC6,798Source

First collected 2026-11-03Measured at 2026-11-06 09:24 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.