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
53.5k
Forks
6.9k
Open Issues
48
Watchers
248
Contributors
11
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
Jun 28, 2026
Created
Jul 27, 2024
Latest Release
v2
Release Date
Oct 21, 2025
Synced: Jul 18, 2026
Quality Scores
Documentation Qualityw: 20%
7.3

Has docs site (https://jingyaogong.github.io/minimind). Description: 83 chars. Stars signal: 53,543. Contributors: 11. Score: 7.3/10

Community Healthw: 20%
7.8

Stars: 53,543. Contributors: 11. Watchers: 248. Forks: 6,938. Issue ratio: 0.1%. Score: 7.8/10

Maintenance Velocityw: 15%
5.8

Last commit: 20d ago. Weekly commits: 0. Latest release: v2. Maturity bonus: 2.0y old. Score: 5.8/10

API Design & DXw: 20%
8.4

Stars/issues ratio: 1115. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 53,543 stars. Score: 8.4/10

Production Readinessw: 15%
6.7

Battle-tested: 53,543 stars. Peer review: 11 contributors. Versioned: v2. Licensed: Apache-2.0. Age: 2.0 years. Maintenance: last commit 20d ago. Score: 6.7/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 6,938. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 53,543 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