SqueezeAILab / KVQuant

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Date Created 2024-01-31 (4 months ago)

Commits 10 (last one about a month ago)

Stargazers 217 (2 this week)

Watchers 14 (0 this week)

Forks 16

License unknown

Ranking

RepositoryStats indexes 523,840 repositories, of these SqueezeAILab/KVQuant is ranked #156,718 (70th percentile) for total stargazers, and #150,200 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #26,852/100,813.

SqueezeAILab/KVQuant is also tagged with popular topics, for these it's ranked: llm (#761/1875), natural-language-processing (#550/1311), transformer (#366/896), large-language-models (#331/795), compression (#162/417), llama (#199/411), text-generation (#66/151)

Other Information

SqueezeAILab/KVQuant has Github issues enabled, there are 6 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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10 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-05-31 @ 06:46pm, id: 750973875 / R_kgDOLMLzsw