STACKQUADRANT

armbues/SiLLM

Fine-tuning Tools

SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.

3.6
GitHub Metrics
Stars
282
Forks
26
Open Issues
4
Watchers
9
Contributors
4
Weekly Commits
0
Language
Python
License
MIT
Last Commit
Jun 16, 2025
Created
Jan 11, 2024
Latest Release
—
Release Date
—
Synced: Oct 18, 2026
Quality Scores
Documentation Qualityw: 20%
3.6

No dedicated docs site. Description: 131 chars. Stars signal: 282. Contributors: 4. Score: 3.6/10

Community Healthw: 20%
3.1

Stars: 282. Contributors: 4. Watchers: 9. Forks: 26. Issue ratio: 1.4%. Score: 3.1/10

Maintenance Velocityw: 15%
1.0

Last commit: 488d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.8y old. Score: 1/10

API Design & DXw: 20%
6.5

Stars/issues ratio: 71. Dynamic language: Python. No dedicated API docs. Permissive license: MIT. Popularity signal: 282 stars. Score: 6.5/10

Production Readinessw: 15%
2.3

Battle-tested: 282 stars. Peer review: 4 contributors. No versioned releases. Licensed: MIT. Age: 2.8 years. Maintenance: last commit 488d ago. Score: 2.3/10

Ecosystem Integrationw: 10%
4.8

Fork interest: 26. Major ecosystem: Python. Integration-friendly: MIT. Adoption: 282 stars. Score: 4.8/10

Tags
apple-silicondpolarge-language-modelsllmllm-inferencellm-trainingloramlx
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration