datawhalechina/self-llm
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
This guide helps students, researchers, and anyone interested in large language models (LLMs) to quickly get started. It provides step-by-step instructions on setting up the necessary environment, deploying various open-source LLMs like LLaMA and ChatGLM, and fine-tuning them for specific tasks. The outcome is a personalized, domain-specific LLM that can be used for various applications without relying on external APIs.
28,927 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you want to deploy and customize open-source large language models on your own Linux system for long-term, low-cost, and specialized applications.
Not ideal if you prefer using commercial API-based LLM services or if you lack a Linux environment and basic command-line familiarity.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Mar 08, 2026
Commits (30d)
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