# SqueezeAILab/KVQuant

<https://repo.masters-masters.com/en/repos/SqueezeAILab/KVQuant>

[Home](https://repo.masters-masters.com/en) › [SqueezeAILab](https://repo.masters-masters.com/en/owners/SqueezeAILab) › [KVQuant](https://repo.masters-masters.com/en/repos/SqueezeAILab/KVQuant)

SqueezeAILab/KVQuant has 436 stars on GitHub. Its RepoMasters card: Alpha tier. \[NeurIPS 2024\] KVQuant: Towards 10 Million Context Length LLM Inference with…

| Field | Value |
| --- | --- |
| Owner | [SqueezeAILab](https://repo.masters-masters.com/en/owners/SqueezeAILab) |
| Stars | 436 |
| Forks | 49 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | compression, efficient-inference, efficient-model, large-language-models, llama, llm, localllama, localllm, mistral, model-compression |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [SqueezeAILab/KVQuant](https://github.com/SqueezeAILab/KVQuant) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.