<?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>大模型部署 on 1630.top 技术博客</title><link>https://www.1630.top/tags/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2.html</link><description>Recent content in 大模型部署 on 1630.top 技术博客</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Fri, 10 Jul 2026 08:00:00 +0800</lastBuildDate><atom:link href="https://www.1630.top/tags/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2/rss.xml" rel="self" type="application/rss+xml"/><item><title>大模型微调与部署实战：从LoRA到vLLM生产环境完整指南</title><link>https://www.1630.top/articles/llm-fine-tuning-deployment-guide.html</link><pubDate>Fri, 10 Jul 2026 08:00:00 +0800</pubDate><guid>https://www.1630.top/articles/llm-fine-tuning-deployment-guide.html</guid><description>大模型落地最后一公里的关键，在于如何以最低成本完成微调并将模型高效部署到生产环境。本文系统讲解基于LoRA的轻量化微调方案，以及使用vLLM实现高吞吐推理的完整生产链路。</description></item></channel></rss>