📄 中文摘要
针对不同硬件配置，分析了125种本地大语言模型（LLM），并开发了一款免费的工具，以帮助用户选择适合自己设备的模型。文章提供了一份2026年2月的速查表，涵盖了各种硬件层级的推荐，旨在为用户解答常见问题，如“我该在16GB的Mac上运行哪个模型？”或“DeepSeek R1能否在我的4060上运行？”
2026年适合您硬件的最佳本地LLM（分析了125种模型）
出处: Best Local LLM for Your Hardware in 2026 (125 Models analysed)
发布: 2026年2月13日
📄 English Summary
Best Local LLM for Your Hardware in 2026 (125 Models analysed)
An analysis of over 125 local large language models (LLMs) tailored for various hardware configurations has been conducted, resulting in a free tool to assist users in selecting the most suitable model for their devices. A cheat sheet for February 2026 is provided, offering recommendations across different hardware tiers. This resource aims to address common queries such as 'What model should I run on my 16GB Mac?' or 'Will DeepSeek R1 fit on my 4060?'