SqueezeAILab / KVQuant

[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Date Created 2024-01-31 (about a year ago)

Commits 12 (last one 8 months ago)

Stargazers 335 (0 this week)

Watchers 11 (0 this week)

Forks 30

License unknown

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RepositoryStats indexes 625,486 repositories, of these SqueezeAILab/KVQuant is ranked #127,704 (80th percentile) for total stargazers, and #185,370 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #22,165/127,154.

SqueezeAILab/KVQuant is also tagged with popular topics, for these it's ranked: llm (#1,019/3418), natural-language-processing (#468/1464), large-language-models (#380/1201), transformer (#304/1064), llama (#238/595), compression (#132/460), text-generation (#56/165), model-compression (#34/108)

Other Information

SqueezeAILab/KVQuant has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 14 open issues and 4 closed issues.

Homepage URL: https://arxiv.org/abs/2401.18079

All Topics

llm llama mistral localllm localllama compression transformer quantization small-models efficient-model text-generation model-compression efficient-inference large-language-models natural-language-processing

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12 commits on the default branch (main) since jan '22

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updated: 2025-03-01 @ 12:49am, id: 750973875 / R_kgDOLMLzsw