LLaMA Factory vs TRL for instruction tuning in 2026: when to choose each stack
LLaMA Factory packages a broader turnkey training surface — 100+ models, multiple fine-tuning and preference-tuning methods, and a zero-code UI/CLI — while TRL stays closer to the Hugging Face ecosystem and is better when you want a lighter, library-first SFT/PPO/DPO workflow; the right choice depends on how much orchestration you want to absorb yourself.