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!

7.7
GitHub Metrics
Stars
56.9k
Forks
7.4k
Open Issues
59
Watchers
259
Contributors
13
Weekly Commits
2
Language
Python
License
Apache-2.0
Last Commit
Aug 31, 2026
Created
Jul 27, 2024
Latest Release
v2
Release Date
Oct 21, 2025
Synced: Sep 1, 2026
Quality Scores
Documentation Qualityw: 20%
7.4

Has docs site (https://jingyaogong.github.io/minimind). Description: 83 chars. Stars signal: 56,874. Contributors: 13. Score: 7.4/10

Community Healthw: 20%
7.9

Stars: 56,874. Contributors: 13. Watchers: 259. Forks: 7,405. Issue ratio: 0.1%. Score: 7.9/10

Maintenance Velocityw: 15%
6.7

Last commit: 1d ago. Weekly commits: 2. Latest release: v2. Maturity bonus: 2.1y old. Score: 6.7/10

API Design & DXw: 20%
8.4

Stars/issues ratio: 964. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 56,874 stars. Score: 8.4/10

Production Readinessw: 15%
7.1

Battle-tested: 56,874 stars. Peer review: 13 contributors. Versioned: v2. Licensed: Apache-2.0. Age: 2.1 years. Maintenance: last commit 1d ago. Score: 7.1/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 7,405. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 56,874 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
jingyaogong/minimind — 7.7/10 — AI/LLM Repository Review — StackQuadrant