This entry duplicates huggingface-llm-trainer, which is the one we list in search.

huggingface-llm-trainer

Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure.

Skill by sediman-agent

IndexedComplete terms in LICENSE.txt★ 394

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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/sediman-agent-huggingface-llm-trainer

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About

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.

Use cases: devops, ml

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What's inside

Skill name: huggingface-llm-trainer
Description: 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.
License: Complete terms in LICENSE.txt
Instructions: 734 lines in SKILL.md · view on GitHub

Before installing

Ships executable scripts

Agent Skills spec issues

body: 734 lines (spec recommends under 500)

Files (19)

SKILL.md
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 · references/
convert_to_gguf.py · scripts/
dataset_inspector.py · scripts/
estimate_cost.py · scripts/
hf_benchmarks.py · scripts/
train_dpo_example.py · scripts/
train_grpo_example.py · scripts/
train_sft_example.py · scripts/
unsloth_sft_example.py · scripts/

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

Signals

Stars: 394
Forks: 44
Open issues: 135
Last commit (this folder): May 30, 2026 (5 months ago)
Last release: Jun 4, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Complete terms in LICENSE.txt
Repository: github.com/sediman-agent/OpenSkynet
Website: agent.sediman.com/
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

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huggingface-llm-trainer skill. Agent Mart. https://agentmart.dev/skills/sediman-agent-huggingface-llm-trainer (last updated 2026-10-24)