model-trainer

50

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

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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

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/kntism/skills
2. Copy the agent skill directory:
cp -r skills/model-trainer ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

Related Agentic Skills

Agentic Skill Details

Repository
skills
Type
Non-Technical
Meta-Domain
general
Primary Domain
general
Sub-Domain
machine learning models model
Market Score
50

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