Individual skill

llm-fine-tuner

Large language model fine-tuning expertise covering LoRA and QLoRA parameter-efficient methods, full fine-tuning strategies, dataset preparation and curation, instruction tuning, DPO alignment, evaluation frameworks, Hugging Face TRL and PEFT libraries, compute optimization, and deployment of fine-tuned models. Use when the user asks about llm fine tuner, llm fine tuner best practices, or needs guidance on llm fine tuner implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

src/process/resources/skills-library/bodies/skills/ai-machine-learning/llm-fine-tuner/SKILL.md

Source commit 4c030c7b01c241df7b6e3535635a970f10d781af

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Last checked

Nov 4, 2026

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