STACKQUADRANT

awslabs/awsome-distributed-training

Fine-tuning Tools

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

5.8
GitHub Metrics
Stars
490
Forks
213
Open Issues
40
Watchers
17
Contributors
120
Weekly Commits
0
Language
Shell
License
MIT-0
Last Commit
Oct 26, 2026
Created
Sep 30, 2023
Latest Release
v2.0.0
Release Date
Sep 1, 2026
Synced: Oct 27, 2026
Quality Scores
Documentation Qualityw: 20%
5.2

No dedicated docs site. Description: 123 chars. Stars signal: 490. Contributors: 120. Score: 5.2/10

Community Healthw: 20%
5.9

Stars: 490. Contributors: 120. Watchers: 17. Forks: 213. Issue ratio: 8.2%. Score: 5.9/10

Maintenance Velocityw: 15%
7.5

Last commit: 0d ago. Weekly commits: 0. Latest release: v2.0.0. Maturity bonus: 3.1y old. Score: 7.5/10

API Design & DXw: 20%
5.2

Stars/issues ratio: 12. No dedicated API docs. License: MIT-0. Popularity signal: 490 stars. Score: 5.2/10

Production Readinessw: 15%
5.6

Battle-tested: 490 stars. Peer review: 120 contributors. Versioned: v2.0.0. Licensed: MIT-0. Age: 3.1 years. Maintenance: last commit 0d ago. Score: 5.6/10

Ecosystem Integrationw: 10%
5.6

Fork interest: 213. Ecosystem: Shell. License: MIT-0. Adoption: 490 stars. Score: 5.6/10

Tags
awsawsbatchdistributed-trainingefaeksgenerative-aigpuhyperpodllm-trainingparallelcluster
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration