datawhalechina/happy-llm
📚 从零开始构建大模型
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 284 days ago, with 27 contributors on GitHub.
Use Cases & Benefits
- Provides a comprehensive tutorial to build and understand large language models from scratch using practical code and theory.
- Offers a systematic, free, and open-source learning path combining foundational NLP concepts with hands-on LLM implementation and training.
- Use for university students and researchers seeking to deeply understand LLM architectures and training processes.
- Use for developers wanting to implement and fine-tune LLaMA2-style models with step-by-step PyTorch guidance.
- Use for AI practitioners interested in applying advanced LLM techniques like retrieval-augmented generation and intelligent agents.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
📚 在线阅读地址 📚 从零开始的大语言模型原理与实践教程 深入理解 LLM 核心原理，动手实现你的第一个大模型
很多小伙伴在看完 Datawhale开源项目： self-llm 开源大模型食用指南 后，感觉意犹未尽，想要深入了解大语言模型的原理和训练过程。于是我们（Datawhale）决定推出《Happy-LLM》项目，旨在帮助大家深入理解大语言模型的 原理和训练过程。
本项目是一个系统性的 LLM 学习教程，将从 NLP 的基本研究方法出发，根据 LLM 的思路及原理逐层深入，依次为读者剖析 LLM 的架构基础和训练过程。同时，我们会结合目前 LLM 领域最主流的代码框架，演练如何亲手搭建、训练一个 LLM，期以实现授之以鱼，更授之以渔。希望大家能从这本书开始走入 LLM 的浩瀚世界，探索 LLM 的无尽可能。
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
3.3K+169
Open issues
78+14
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 450.0K | +22.9K | 75 | 16 days ago |
| vercel-labs/agent-desktop | 21.4K | +8.7K | 75 | 5 days ago |
| milind-soni/OpenMausBot | 20.6K | +8.4K | 75 | today |
| stablyai/orca | 121.4K | +6.7K | 75 | today |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| datawhalechina/happy-llm | 34.8K | — | 26 | 284 days ago |
| Category median | 115.8K | +8.4K | 75 | — |
Also by datawhalechina
Other repositories from this maintainer that GStars tracks
- Python86.2K stars
hello-agents
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
- Jupyter Notebook24.9K stars
llm-cookbook
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
- JavaScript20.4K stars
easy-vibe
💻 Vibe Coding 101｜Your First Course For AI Product Builders.
- Python12.9K stars
all-in-rag
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
Discover Repositories
Search across tracked repositories by name or description