datawhalechina/happy-llm
📚 从零开始的大语言模型原理与实践教程
This project is a comprehensive learning guide for building large language models (LLMs) from scratch. It takes you from understanding core NLP concepts to designing, training, and fine-tuning your own LLM, like LLaMA2. It's intended for students, researchers, and AI enthusiasts who want to grasp the inner workings of LLMs and develop practical skills.
27,292 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you are a student, researcher, or LLM enthusiast with some programming and deep learning background who wants to deeply understand LLM principles and implement them.
Not ideal if you are looking for a plug-and-play solution or an application-focused tool without delving into the underlying LLM architecture and training processes.
Stars
27,292
Forks
2,515
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 05, 2026
Commits (30d)
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/datawhalechina/happy-llm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Recent Releases
Related models
Xnhyacinth/Awesome-LLM-Long-Context-Modeling
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
PacktPublishing/Mastering-NLP-from-Foundations-to-LLMs
Mastering NLP from Foundations to LLMs, Published by Packt
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
HandsOnLLM/Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
louisfb01/start-llms
A complete guide to start and improve your LLM skills in 2026 with little background in the...