datawhalechina/diy-llm

Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐,6 项渐进代码作业,掌握 LLM 全栈知识

2.9k stars · 281 forks · Jupyter Notebook

Quick update: star history is from the full report of Nov 1, 2026.

Caution

No license file.

Why

What would change this

Maintenance

Partial

Slowing

Human commits, 30 days
36
Human commits, 90 days
60
Human commits, 365 days
771
Bot share of commits, 365 days
0%
Last commit
Nov 9, 2026 (2 days ago)
Last human commit
Nov 9, 2026 (2 days ago)
Authors, 90 days
8
Last release
Aug 17, 2026 (2 months ago)
Median PR merge time
11 hours

Responsiveness: of 5 recent issues, 100% got a maintainer reply. Median first response: 17 hours.

Sources: Commits, Releases, Merged pull requests, Issues

People

Complete
Owner
Organization
Commits sampled
100 since Nov 12, 2025
Authors for half of commits
2
Authors for 80% of commits
3
Contributors
15

Top committers

Sources: Commits, Contributors

Stars

Complete

Organic, confidence medium

Stars per week, 2025-11-23 to 2026-10-25. 7 weeks overlap a burst.Peak 815 a week2025-11-232026-10-25
Bars show stars gained each week. Red bars overlap a burst.

Bursts

Anyone can buy stars for any repo; bursts alone don't prove the owner did.

Sources: How star history is analyzed

Risk

Complete

Flags

License

Now
No license found
A year ago
Not known

Packages

No published packages found.

Sources: GitHub: datawhalechina/diy-llm

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Computed 9 hours ago · method 2026.10.2