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hands-on-llm
Python

hands-on-llm

动手学大模型全栈:CS336 中文精讲 · PyTorch 手搓 Transformer · 单卡复现 Pretrain/SFT/LoRA/DPO/GRPO/RLVR · PEFT/Agent/RAG 落地(含真实实验、曲线与复现脚本)

by FRS2003 · GitHub
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cs336deep-learningdpoMITPythonSelf-hostable
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Learn to build and experiment with large language models using practical examples and hands-on coding.

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📈 Star history
130119
2026-09-242026-11-10
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📄 About

动手学大模型全栈:CS336 中文精讲 · PyTorch 手搓 Transformer · 单卡复现 Pretrain/SFT/LoRA/DPO/GRPO/RLVR · PEFT/Agent/RAG 落地(含真实实验、曲线与复现脚本)

hands-on-llm has 122 stars on GitHub. It has been forked 12 times. hands-on-llm is written mainly in Python. It has been in active development since 2026. hands-on-llm is available under the MIT license. Its main topics are cs336, deep-learning, dpo, from-scratch.

❓ Frequently asked questions

What is hands-on-llm?

动手学大模型全栈:CS336 中文精讲 · PyTorch 手搓 Transformer · 单卡复现 Pretrain/SFT/LoRA/DPO/GRPO/RLVR · PEFT/Agent/RAG 落地(含真实实验、曲线与复现脚本)

Is hands-on-llm open source?

hands-on-llm is an open-source project. It is released under the MIT license.

Is hands-on-llm free?

Yes. hands-on-llm is free and open source — you can use, modify and self-host it.

What license does hands-on-llm use?

hands-on-llm is available under the MIT license.

What language is hands-on-llm written in?

hands-on-llm is written mainly in Python.

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