STACKQUADRANT

ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing

Fine-tuning Tools

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

5.3
GitHub Metrics
Stars
727
Forks
121
Open Issues
2
Watchers
17
Contributors
6
Weekly Commits
0
Language
Jupyter Notebook
License
MIT
Last Commit
Mar 13, 2026
Created
May 28, 2023
Latest Release
Release Date
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
4.1

No dedicated docs site. Description: 141 chars. Stars signal: 727. Contributors: 6. Score: 4.1/10

Community Healthw: 20%
4.8

Stars: 727. Contributors: 6. Watchers: 17. Forks: 121. Issue ratio: 0.3%. Score: 4.8/10

Maintenance Velocityw: 15%
5.2

Last commit: 34d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.9y old. Score: 5.2/10

API Design & DXw: 20%
6.9

Stars/issues ratio: 364. No dedicated API docs. Permissive license: MIT. Popularity signal: 727 stars. Score: 6.9/10

Production Readinessw: 15%
4.7

Battle-tested: 727 stars. Peer review: 6 contributors. No versioned releases. Licensed: MIT. Age: 2.9 years. Maintenance: last commit 34d ago. Score: 4.7/10

Ecosystem Integrationw: 10%
6.2

Fork interest: 121. Ecosystem: Jupyter Notebook. Integration-friendly: MIT. Adoption: 727 stars. Score: 6.2/10

Tags
berthuggingfacelarge-language-modelsllm-inferencellm-trainingllm-tutorialsopen-sourceopen-source-llmtransformers
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration