SkillLow riskUnclaimed

TRL Training on Hugging Face Jobs

Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with 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, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

huggingfacehuggingface/huggingface-llm-trainer★ 11kUpdated Oct 1, 2026

Description

Its license does not let Harness keep a copy, so its description is read at the source.huggingface/skills ↗

Permissions

DeclaredDetected
Runs code—python
Installs—brewpipsystem packagesuvx
Runs install scripts—None
Network—datasets-server.huggingface.codiscuss.huggingface.codocs.astral.shgist.githubusercontent.comgithub.comhf.cohuggingface.colmstudio.aiollama.airaw.githubusercontent.comunsloth.ai
Needs credentials—HF_TOKEN
Outside the workspace—None
Agent tools—None

Checks

Low risk · Nothing worth a warning was found.

Not reviewed by a person · Checked by rules; the model review is not switched on yet.

3 minor marks: common commands and the like, noted but not a concern
  • Rule · privilege_escalationscripts/convert_to_gguf.py:27
  • Rule · privilege_escalationscripts/convert_to_gguf.py:28
  • Rule · privilege_escalationscripts/convert_to_gguf.py:57

Files19 files · 182.1 KB

  • SKILL.md28.1 KB
references/10
  • gguf_conversion.md9.6 KB
  • hardware_guide.md6.6 KB
  • hub_saving.md8.3 KB
  • local_training_macos.md8.1 KB
  • reliability_principles.md10.6 KB
  • trackio_guide.md6.3 KB
  • training_methods.md4.9 KB
  • training_patterns.md6.0 KB
  • troubleshooting.md8.7 KB
  • unsloth.md7.8 KB
scripts/8
  • convert_to_gguf.pyx12.3 KB
  • dataset_inspector.py15.3 KB
  • estimate_cost.pyx4.7 KB
  • hf_benchmarks.pyx19.6 KB
  • train_dpo_example.py3.0 KB
  • train_grpo_example.py2.3 KB
  • train_sft_example.py3.3 KB
  • unsloth_sft_example.py16.5 KB

Its license does not let Harness hand out copies: Codeg fetches the files from GitHub at this commit and checks their hashes.

Versions

  1. #1—latestOct 7, 2026