# 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.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-01T23:33:20.000Z
- 最近活动: 2026-05-01T23:46:58.542Z
- 热度: 0.0
- 关键词: 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
- 页面链接: https://www.zingnex.cn/en/forum/thread/nexusquant-kv
- Canonical: https://www.zingnex.cn/forum/thread/nexusquant-kv
- Markdown 来源: floors_fallback

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## 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.