Home› Projects› KVQuant

KVQuant

by SqueezeAILab · GitHub

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

# compression # efficient-inference# efficient-model# large-language-models

⭐ Stars

431

🍴 Forks

🔥 Trending

+1 today

📜 License

—

License not specified

📅 Created

2024

🔄 Last commit

1 yr ago

🏷️ Category

compression

💻 Language

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

📈 Star history

2026-07-202026-07-21

📄 About

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

❓ Frequently asked questions

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

KVQuant is an open-source project.

Yes. KVQuant is free and open source — you can use, modify and self-host it.

🏅 Maintainer of this project?

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![OpenSourceAI](https://opensourceai.tech/badge.php?tool=squeezeailab-kvquant)](https://opensourceai.tech/project/squeezeailab-kvquant.html)