byhuggingface· 63 skills
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
$npx -y skills add huggingface/skills --skill huggingface-llm-trainerInstalls into the current project.
Run `npx skills use "https://github.com/huggingface/skills" --skill "huggingface/skills/huggingface-llm-trainer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/huggingface/skills" that are relevant to the current task. Run `npx skills add "https://github.com/huggingface/skills"` and select the relevant skills, then follow their instructions.