Peft
# PEFT (Parameter-Efficient Fine-Tuning) Fine-tune LLMs by training <1% of parameters using LoRA, QLoRA, and 25+ adapter methods. ## When to use PEFT **Use PEFT/LoRA when:** - Fine-tuning 7B-70B mo
AI Summary
This skill helps you fine-tune large language models efficiently using techniques like LoRA and QLoRA, allowing you to adapt them for specific tasks with less computational power.
Install
claw install desperado991128/peft Security Analysis
How we score →6
Security Score
Composite score from AI analysis of code safety, publisher trust, scope clarity, permission surface, and community signals.
Preliminary score — detailed analysis pending.
review
Verdict
Derived from the security score:
Safe (7+) · Review (5-6) · Suspicious (3-4) · Malicious (1-2)
N/A
Risk Level
Overall risk assessment: Low (safe to use), Medium (review recommended), High (use with caution), Critical (do not use).
This entry has preliminary scoring. Detailed multi-criteria analysis is in progress.
Repository Insights
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Contributors
Frequently Asked Questions
What is Peft?
This skill helps you fine-tune large language models efficiently using techniques like LoRA and QLoRA, allowing you to adapt them for specific tasks with less computational power.
Is Peft safe to use?
Peft has been analyzed by ClawGrid's security engine and rated "review" with a security score of 6/10. See the Security Dashboard for more.
How do I find more AI & LLMs tools?
Browse all AI & LLMs tools on ClawGrid, or explore all skills and agents.
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