Enping-Hu / minimind-deep-dive
从 MiniMind 源码读起,再延伸到现代大模型技术体系的中文学习笔记。主线逐行精读预训练 / SFT / DPO / PPO / GRPO 与训练机制;附录 17 篇进阶卷覆盖量化、投机解码、RLHF 全景、模型代际史等 MiniMind 没涉及、但进阶绕不开的主题。
Why this job: says: rlhf; topics: fine-tuning, rlhf, llm-training
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 19 days ago
- Stars
- 217
- On GitHub
- Licence
- CC-BY-4.0
- Read the terms
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 74% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| hiyouga / LlamaFactory | 75,952 | today | Apache-2.0 | No downloads |
| oumi-ai / oumi | 9,429 | 3 days ago | Apache-2.0 | No downloads |
| shibing624 / MedicalGPT | 5,888 | 55 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 74%
- HTML 26%
Topics
- deep-learning
- dpo
- fine-tuning
- from-scratch
- grpo
- large-language-models
- llm
- llm-training
- minimind
- moe
- nlp
- ppo
Project record
- JobFine-tuning
- StatusListed
- Commits102
- Forks14
- Watching0
- Stars in 28 days+9
- CreatedJun 19, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026