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.

5.9
GitHub Metrics
Stars
486
Forks
211
Open Issues
38
Watchers
17
Contributors
119
Weekly Commits
3
Language
Shell
License
MIT-0
Last Commit
Oct 15, 2026
Created
Sep 30, 2023
Latest Release
v2.0.0
Release Date
Sep 1, 2026
Synced: Oct 18, 2026
Quality Scores
Documentation Qualityw: 20%
5.1

No dedicated docs site. Description: 123 chars. Stars signal: 486. Contributors: 119. Score: 5.1/10

Community Healthw: 20%
5.9

Stars: 486. Contributors: 119. Watchers: 17. Forks: 211. Issue ratio: 7.8%. Score: 5.9/10

Maintenance Velocityw: 15%
8.7

Last commit: 3d ago. Weekly commits: 3. Latest release: v2.0.0. Maturity bonus: 3.0y old. Score: 8.7/10

API Design & DXw: 20%
5.2

Stars/issues ratio: 13. No dedicated API docs. License: MIT-0. Popularity signal: 486 stars. Score: 5.2/10

Production Readinessw: 15%
5.6

Battle-tested: 486 stars. Peer review: 119 contributors. Versioned: v2.0.0. Licensed: MIT-0. Age: 3.0 years. Maintenance: last commit 3d ago. Score: 5.6/10

Ecosystem Integrationw: 10%
5.6

Fork interest: 211. Ecosystem: Shell. License: MIT-0. Adoption: 486 stars. Score: 5.6/10

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