peft-fine-tuning

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

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78%

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Low

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Repository: synthetic-sciences/openscience
Path: backend/cli/skills/ml-training/peft/SKILL.md
Commit: fcd2e11

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