datawhalechina/self-llm

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

32.8k
Stars
3.2k
Forks
74.5
Radar Score
Rising
Momentum

Scoring Breakdown

Impact96.5
Velocity60.2
Health59.3

Growth Metrics

7-Day Stars
+50
30-Day Stars
+318
Acceleration
0.67x
Language
Jupyter Notebook

Why it ranks

Strong momentum — adoption is accelerating week over week.

LLM Frameworks · fine-tuningTop 56% globallyLast push 13d ago+50 stars / 7d+318 stars / 30d

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🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
87%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
74.5
Composite of Impact, Velocity, and Health.
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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