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.

5.7
GitHub Metrics
Stars
407
Forks
182
Open Issues
35
Watchers
14
Contributors
102
Weekly Commits
0
Language
Shell
License
MIT-0
Last Commit
Apr 15, 2026
Created
Sep 30, 2023
Latest Release
v1.2.0
Release Date
Feb 14, 2026
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
5.1

No dedicated docs site. Description: 123 chars. Stars signal: 407. Contributors: 102. Score: 5.1/10

Community Healthw: 20%
5.6

Stars: 407. Contributors: 102. Watchers: 14. Forks: 182. Issue ratio: 8.6%. Score: 5.6/10

Maintenance Velocityw: 15%
7.4

Last commit: 1d ago. Weekly commits: 0. Latest release: v1.2.0. Maturity bonus: 2.5y old. Score: 7.4/10

API Design & DXw: 20%
5.2

Stars/issues ratio: 12. No dedicated API docs. License: MIT-0. Popularity signal: 407 stars. Score: 5.2/10

Production Readinessw: 15%
5.6

Battle-tested: 407 stars. Peer review: 102 contributors. Versioned: v1.2.0. Licensed: MIT-0. Age: 2.5 years. Maintenance: last commit 1d ago. Score: 5.6/10

Ecosystem Integrationw: 10%
5.4

Fork interest: 182. Ecosystem: Shell. License: MIT-0. Adoption: 407 stars. Score: 5.4/10

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