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
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Installation for Agentic Skill
View all platforms →skilz install kntism/skills/model-trainer skilz install kntism/skills/model-trainer --agent opencode skilz install kntism/skills/model-trainer --agent codex skilz install kntism/skills/model-trainer --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/kntism/skills cp -r skills/model-trainer ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- skills
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- learning models model
- Market Score
- 50.2
Browse Category
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