Curated-Awesome-Lists/awesome-llms-fine-tuning

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!

525
Stars
79
Forks
39.6
Radar Score
Stable
Momentum

Scoring Breakdown

Impact57.4
Velocity22.6
Health35.0

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—

Why it ranks

Modest but positive momentum.

LLM Frameworks · fine-tuningTop 61% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
67%
Moderate Confidence
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
39.6
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Maintenance cadence: Last push 709 days ago.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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