#557 · Primary category： Education & Research
LLM-quickstart
Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门（理论学习与微调实战）
Project last updated：06/09/25
GitHub Stars
1.1K
Forks
588
Contributors
5
License
Apache-2.0
Why we included this project
If you are planning to fine-tune a large model for the first time, this repo gives you a concrete route from an empty GPU server to a running training job. The Jupyter notebooks pair the theory of instruction tuning and LoRA-style adaptation with practical setup steps, including installing CUDA drivers and a Python 3.10 environment on Ubuntu. Working through them teaches the same workflow you would use in a real project, so the effort carries beyond the notebooks. It reads like a structured reference rather than a blog post, with data preparation and training workflows collected in one place.
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