Educational Tutorial
30.2k 2026-04-30
datawhalechina/self-llm
A comprehensive Linux-based guide for beginners to quickly fine-tune and deploy open-source LLMs and MLLMs, tailored for Chinese learners.
Core Features
Detailed Linux environment configuration for various LLMs.
Deployment and usage tutorials for mainstream open-source LLMs (e.g., LLaMA, ChatGLM, InternLM).
Application guidance including command-line, online demo deployment, and LangChain integration.
Full-parameter and efficient fine-tuning methods (e.g., distributed full fine-tuning, LoRA, P-tuning).
Support for over 50 mainstream LLMs with dedicated deployment, fine-tuning, and usage tutorials.
Detailed Introduction
The rapid proliferation of open-source Large Language Models (LLMs) presents both opportunities and challenges, as their deployment and utilization often require significant technical expertise. This project serves as a crucial bridge, simplifying the complex process of setting up, deploying, and fine-tuning open-source LLMs and MLLMs on Linux. It aims to empower students and researchers, particularly in China, to effectively leverage these powerful models, fostering their integration into academic and practical applications and promoting the spirit of open-source accessibility.