<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>INT8 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/int8/</link><description>Recent content in INT8 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 02 Jul 2026 10:59:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/int8/index.xml" rel="self" type="application/rss+xml"/><item><title>量化技术对比：INT4/INT8/FP8</title><link>https://guijiagi.com/posts/quantization-techniques-comparison/</link><pubDate>Thu, 02 Jul 2026 10:59:00 +0800</pubDate><guid>https://guijiagi.com/posts/quantization-techniques-comparison/</guid><description>系统对比INT4、INT8、FP8量化方案在LLM中的精度、速度与工程权衡</description></item><item><title>大模型量化技术2026：INT4/INT8/AWQ/GPTQ实测</title><link>https://guijiagi.com/posts/llm-quantization-2026/</link><pubDate>Tue, 30 Jun 2026 11:35:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-quantization-2026/</guid><description>全面评测2026年主流大模型量化技术，INT4/INT8/AWQ/GPTQ实测对比</description></item><item><title>大模型量化技术全景：从 INT8 到 GPTQ 与 AWQ</title><link>https://guijiagi.com/posts/quantization-techniques/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/quantization-techniques/</guid><description>系统梳理大语言模型量化技术，涵盖 PTQ 与 QAT、对称与非对称量化、GPTQ、AWQ、SmoothQuant 等方法的原理与实现。</description></item></channel></rss>