SqueezeAILab / KVQuant

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

Date Created 2024-01-31 (9 months ago)

Commits 12 (last one 4 months ago)

Stargazers 305 (0 this week)

Watchers 13 (0 this week)

Forks 26

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Ranking

RepositoryStats indexes 584,353 repositories, of these SqueezeAILab/KVQuant is ranked #131,468 (78th percentile) for total stargazers, and #165,621 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #22,571/116,326.

SqueezeAILab/KVQuant is also tagged with popular topics, for these it's ranked: llm (#889/2726), natural-language-processing (#476/1411), large-language-models (#358/1045), transformer (#310/1000), llama (#217/519), compression (#136/444), text-generation (#56/160), model-compression (#35/106)

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 11 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: 2024-11-13 @ 05:38am, id: 750973875 / R_kgDOLMLzsw