Real Skill packageSource verifiedGitHub repository

huggingface-llm-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 clo…

Identity and source

Publisher attributionOpenAIrepository owner unverified by skillvetai
Functional categoryDevOps, Cloud & Observabilityautomatically inferred · 90% rule confidence
Package forminstruction with code19 recorded files
Canonical sourceGitHub repositorygithub:openai/plugins:plugins/hugging-face/skills/llm-trainer
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OpenAI Codexdeclared onlyProvenance: platform official

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Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/13/2026.claude/skills/huggingface-llm-trainer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/13/2026.agents/skills/huggingface-llm-trainer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/13/2026skills/huggingface-llm-trainer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

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Status
completed
Coverage
full text content
Files
19 / 19 inspected as text
Checked
8/13/2026, 7:58:57 AM
Scanner
0.1.3
Policy
1.0.3
4 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem write — automatically inferred
  • credential access — automatically inferred
9 dependency and API indicators
  • api: datasets-server.huggingface.co
  • api: discuss.huggingface.co
  • api: docs.astral.sh
  • api: gist.githubusercontent.com
  • api: github.com
  • api: hf.co
  • api: huggingface.co
  • api: raw.githubusercontent.com
  • api: unsloth.ai

Recorded files

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Package content hashsha256:c56f19a930a6d4d657d1d6578199db000e972c28bf3d7ee6966040ea75e50b9f
Show up to 19 recorded paths
  • SKILL.md
  • agents/openai.yaml
  • references/gguf_conversion.md
  • references/hardware_guide.md
  • references/hub_saving.md
  • references/local_training_macos.md
  • references/reliability_principles.md
  • references/trackio_guide.md
  • references/training_methods.md
  • references/training_patterns.md
  • references/troubleshooting.md
  • references/unsloth.md
  • scripts/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/unsloth_sft_example.py