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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…

Skill by hongmaple0820

IndexedComplete terms in LICENSE.txt★ 11
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/hongmaple0820-hugging-face-model-trainer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: devops, ml

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/hugging-face-model-trainer

What's inside

Skill name
hugging-face-model-trainer
Description
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.
License
Complete terms in LICENSE.txt
Instructions
702 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • body: 702 lines (spec recommends under 500)

Files (15)

  • SKILL.md
  • gguf_conversion.md · references/
  • hardware_guide.md · references/
  • hub_saving.md · references/
  • reliability_principles.md · references/
  • trackio_guide.md · references/
  • training_methods.md · references/
  • training_patterns.md · references/
  • troubleshooting.md · references/
  • convert_to_gguf.py · scripts/
  • dataset_inspector.py · scripts/
  • estimate_cost.py · scripts/
  • train_dpo_example.py · scripts/
  • train_grpo_example.py · scripts/
  • train_sft_example.py · scripts/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from hongmaple0820/agent-academy

Signals

Stars
11
Forks
2
Open issues
0
Last commit (this folder)
Mar 12, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Complete terms in LICENSE.txt
Repository
github.com/hongmaple0820/agent-academy
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from hongmaple0820

Cite this page

hugging-face-model-trainer skill. Agent Mart. https://agentmart.dev/skills/hongmaple0820-hugging-face-model-trainer (last updated 2026-10-24)