datawhalechina/code-your-own-llm
一份全栈式大语言模型参考指南，用最简洁的代码帮助你端到端定义模型从零训练到工程落地的每一个细节
This project is a comprehensive guide for those who want to build their own large language models (LLMs) from scratch. It provides clear, simplified code and detailed explanations for every step of the process, from initial data preparation and model architecture design to training, fine-tuning, and deployment. The ideal user is a machine learning engineer, researcher, or advanced student looking to deeply understand and implement LLMs.
136 stars.
Use this if you need to develop a custom large language model and require an end-to-end reference that simplifies complex concepts into actionable code and theoretical understanding.
Not ideal if you are looking for a high-level API to quickly use pre-built LLMs without needing to understand their internal mechanics or customize their core architecture.
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Last pushed
Jan 15, 2026
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