Skillzwave

model-trainer

1 stars 0 forks Updated Dec 24, 2025
66.3

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

Commands Marketplace
#training#dataset#model#print#Hub

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

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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Download Skill ZIP

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

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

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

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Details

Owner
kntism
Repository
skills
Stars
1
Forks
0
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Sub-Domain
learning models model
Skill Size
125.2 KB
Files
15
Quality Score
66.3

AI-Detected Topics

Extracted using NLP analysis

training dataset model print Hub

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