A Chinese-language open tutorial that teaches LLM principles by building a small LLaMA2-style model from scratch, covering Transformer, pretraining, fine-tuning, RAG and agents.
34.5K3.3KJupyter NotebookOtherUpdated 2 months ago
skindhu/Build-A-Large-Language-Model-CN
Chinese translation of the book "Build a Large Language Model (From Scratch)", covering LLM principles and GPT-style implementation.
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What is it?
This repository hosts a Simplified Chinese translation of the book "Build a Large Language Model (From Scratch)", which walks through how large language models work and how to implement a GPT-style model step by step. The translation is organized by chapter, covering text data processing, attention mechanisms, GPT model implementation, pretraining, classification fine-tuning, and instruction fine-tuning, with appendices on PyTorch, LoRA and training-loop techniques.
The original English e-book is included alongside the Chinese chapters, and the Chinese version can be read online through a web page. The translator notes that the translation was produced in stages: an AI draft, an AI review pass, then manual revision. The repository also includes interpretive notes added by the translator where the original is brief.
The book's companion code lives in a separate official repository, which this translation references.
Key features
- 01Chinese translation organized to match the English book's chapters
- 02Includes the original English e-book for side-by-side reading
- 03Covers tokenization, attention, GPT implementation, pretraining and fine-tuning
- 04Appendices cover PyTorch basics and LoRA-based parameter-efficient fine-tuning
- 05Readable online via a web page
Use cases
- Learning how LLMs work from the ground up in Chinese
- Following along with hands-on coding to build a small GPT model
- Studying pretraining and instruction fine-tuning for LLMs
Quick start
- 1
Read the book online via the project's GitHub Pages site
- 2
Clone the repository to get the English e-book and images locally
Things to know
- This is a translated book, not a software library, and the README does not describe a runnable project.
- The README says the translation is partly AI-generated and not fully reviewed, and recommends reading the original English book.
- The license is listed as NOASSERTION, so reuse terms are unclear.
Topics
FAQ
- What is Build-A-Large-Language-Model-CN?
- Chinese translation of the book "Build a Large Language Model (From Scratch)", covering LLM principles and GPT-style implementation. This repository hosts a Simplified Chinese translation of the book "Build a Large Language Model (From Scratch)", which walks through how large language models work and how to implement a GPT-style model step by step. The translation is organized by chapter, covering text data processing, attention mechanisms, GPT model implementation, pretraining, classification fine-tuning, and instruction fine-tuning, with appendices on PyTorch, LoRA and training-loop techniques.
- Is Build-A-Large-Language-Model-CN free to use? What license does it have?
- Build-A-Large-Language-Model-CN is open source under the Other license. Check the license terms before using it in commercial products.
- Is Build-A-Large-Language-Model-CN still maintained?
- Updated within 6 months. The last commit to Build-A-Large-Language-Model-CN was on Aug 10, 2026.
- What can I use Build-A-Large-Language-Model-CN for?
- Learning how LLMs work from the ground up in Chinese Following along with hands-on coding to build a small GPT model Studying pretraining and instruction fine-tuning for LLMs
- How do I install Build-A-Large-Language-Model-CN?
- Read the book online via the project's GitHub Pages site Clone the repository to get the English e-book and images locally
- Where can I get Build-A-Large-Language-Model-CN?
- The source code and installation instructions are on GitHub: https://github.com/skindhu/Build-A-Large-Language-Model-CN
Summary generated by AI from the project's README. GitHub stats refresh daily.
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