STACKQUADRANT

jingyaogong/minimind

LLM Frameworks

🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!

7.5
GitHub Metrics
Stars
47.0k
Forks
5.8k
Open Issues
30
Watchers
235
Contributors
9
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
Apr 10, 2026
Created
Jul 27, 2024
Latest Release
v2
Release Date
Oct 21, 2025
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
7.2

Has docs site (https://jingyaogong.github.io/minimind). Description: 83 chars. Stars signal: 47,021. Contributors: 9. Score: 7.2/10

Community Healthw: 20%
7.6

Stars: 47,021. Contributors: 9. Watchers: 235. Forks: 5,845. Issue ratio: 0.1%. Score: 7.6/10

Maintenance Velocityw: 15%
6.6

Last commit: 6d ago. Weekly commits: 0. Latest release: v2. Maturity bonus: 1.7y old. Score: 6.6/10

API Design & DXw: 20%
8.4

Stars/issues ratio: 1567. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 47,021 stars. Score: 8.4/10

Production Readinessw: 15%
6.5

Battle-tested: 47,021 stars. Peer review: 9 contributors. Versioned: v2. Licensed: Apache-2.0. Age: 1.7 years. Maintenance: last commit 6d ago. Score: 6.5/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 5,845. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 47,021 stars. Has web presence. Score: 8.9/10

Tags
artificial-intelligencelarge-language-model
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration