<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LoRA :: 标签 :: x7peeps</title><link>https://x7peeps.com/tags/LoRA/index.html</link><description/><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 08 Jul 2026 16:07:58 +0000</lastBuildDate><atom:link href="https://x7peeps.com/tags/LoRA/index.xml" rel="self" type="application/rss+xml"/><item><title>模型微调技术全景：LoRA、QLoRA、全参数微调与实战选型指南</title><link>https://x7peeps.com/AI/10-%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83/%E6%A8%A1%E5%9E%8B%E5%BE%AE%E8%B0%83%E6%8A%80%E6%9C%AF%E5%85%A8%E6%99%AFLoRAQLoRA%E5%85%A8%E5%8F%82%E6%95%B0%E5%BE%AE%E8%B0%83%E4%B8%8E%E5%AE%9E%E6%88%98%E9%80%89%E5%9E%8B%E6%8C%87%E5%8D%97/index.html</link><pubDate>Wed, 08 Jul 2026 16:07:58 +0000</pubDate><guid>https://x7peeps.com/AI/10-%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83/%E6%A8%A1%E5%9E%8B%E5%BE%AE%E8%B0%83%E6%8A%80%E6%9C%AF%E5%85%A8%E6%99%AFLoRAQLoRA%E5%85%A8%E5%8F%82%E6%95%B0%E5%BE%AE%E8%B0%83%E4%B8%8E%E5%AE%9E%E6%88%98%E9%80%89%E5%9E%8B%E6%8C%87%E5%8D%97/index.html</guid><description>模型微调技术全景：LoRA、QLoRA、全参数微调与实战选型指南 大语言模型（LLM）的预训练已经形成了"少数巨头训练基座模型、大量开发者微调适配任务"的生态格局。然而，全参数微调一个 7B 模型就需要 100-120GB 显存——这意味着你需要至少 2 张 H100 80GB 才能跑起来一次训练。对于绝大多数团队来说，这不是一个可以随意承担的成本。</description></item></channel></rss>