Fine Tuning With Trl

This gives you a Claude Code template for fine-tuning language models using TRL (Transformer Reinforcement Learning), a library focused on post-training alignment methods. It's a quick setup for supervised fine-tuning, DPO, and other alignment techniques without writing boilerplate from scratch. The skill comes from davila7's template collection and pulls in the core dependencies you need: TRL, transformers, datasets, peft, and accelerate. Worth having if you're doing any kind of instruction tuning or RLHF work and want to skip the initial config headache. The security audits show mostly green, though Snyk flagged a warning you should check.