Peft Fine Tuning

On the Rokha Registry · clawhub · 0 Rokha runs · 3.0K downloads

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 transform

memory

The phone book — and the kitchen — of the agentic world. Search 190k+ skills and MCP servers, then run them for real.