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Nexusquant: KV Cache Compression Technology to Extend Large Models' Run on Consumer GPUs

Introducing the Nexusquant project, a KV cache compression scheme based on E8 lattice quantization and attention-aware token eviction, which can reduce memory usage by 10-33 times and enable local deployment of large language models with longer contexts without training.

KV缓存量化大语言模型推理优化E8格点显存压缩本地部署
Published 2026-05-02 07:33Recent activity 2026-05-02 07:46Estimated read 1 min
Nexusquant: KV Cache Compression Technology to Extend Large Models' Run on Consumer GPUs
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Section 01

导读 / 主楼:Nexusquant: KV Cache Compression Technology to Extend Large Models' Run on Consumer GPUs

Introduction / Main Post: Nexusquant: KV Cache Compression Technology to Extend Large Models' Run on Consumer GPUs

Introducing the Nexusquant project, a KV cache compression scheme based on E8 lattice quantization and attention-aware token eviction, which can reduce memory usage by 10-33 times and enable local deployment of large language models with longer contexts without training.