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imano177/cstack

v0.1.0MIT

Portable cstack skills for engineering, academic research, and continual learning.

peft-lora-qlora

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.

License
MIT
Read SKILL.md at the source

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