hugging-face-model-trainer
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on 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, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install patchy631-ai-engineering-hub-hugging-face-model-trainer
Repository
Skill path: hugging-face-skills/skills/hugging-face-model-trainer
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on 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, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Open repositoryBest for
Primary workflow: Run DevOps.
Technical facets: Full Stack, DevOps.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: patchy631.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install hugging-face-model-trainer into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/patchy631/ai-engineering-hub before adding hugging-face-model-trainer to shared team environments
- Use hugging-face-model-trainer for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.