unsloth-hf-jobs SKILL.md skillC

unsloth-hf-jobs from svngoku/coding-agents-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add svngoku/coding-agents-skills/unsloth-hf-jobs@git:20260813.422f18d

Pins git:20260813.422f18d in mdr.lock. Pin the fingerprint instead.

Audit grade
C, 15 of 17 checks passed
Kind
SKILL.md skill
Repository
svngoku/coding-agents-skills
Path
skills/unsloth-hf-jobs/SKILL.md
Versions recorded
2
Latest version
git:20260813.422f18d, committed Aug 13, 2026
First version recorded
Feb 2, 2026
Size
5,367 bytes
Repository stars
12
License
MIT

Fine-tune LLMs and VLMs using Unsloth on HF Jobs (Hugging Face on-demand cloud GPUs). Use when users want to fine-tune language models, train VLMs (Vision Language Models), do continued pretraining, domain adaptation, or run UV scripts on HF Jobs. Triggers on requests involving Unsloth training, HF Jobs GPU training, Qwen3-VL fine-tuning, Gemma VLM training, or LoRA fine-tuning on cloud GPUs.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Unsloth Training on HF Jobs

Fine-tune LLMs and VLMs using [Unsloth](https://github.com/unslothai/unsloth) on [HF Jobs](https://huggingface.co/docs/hub/jobs) with UV scripts that handle dependencies automatically.

## Prerequisites

- Hugging Face account with [token](https://huggingface.co/settings/tokens)
- HF CLI: `curl -LsSf https://hf.co/cli/install.sh | bash`
- Dataset on the Hub (see data formats below)

## Available Scripts

| Script | Base Model | Task |
|--------|------------|------|
| `scripts/sft-qwen3-vl.py` | Qwen3-VL-8B | VLM fine-tuning |
| `scripts/sft-gemma3-vlm.py` | Gemma 3 4B | VLM fine-tuning (smaller) |
| `scripts/continued-pretraining.py` | Qwen3-0.6B | Domain adaptation |

Remote URL (for HF Jobs): `https://huggingface.co/datasets/uv-scripts/unsloth-jobs/raw/main/`

## Data Formats

### VLM Fine-tuning

Requires `images` and `messages` columns:

```python
{
    "images": [<PIL.Image>],
    "messages": [
        {"role": "user", "content": [{"type": "image"}, {"type": "text", "text": "What's in this image?"}]},
        {"role": "assistant", "content": [{"type": "text", "text": "A golden retriever playing fetch."}]}
    ]
}
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add svngoku/coding-agents-skills/unsloth-hf-jobs@sha256:0775132b8dd7411c

The line at the top of this page pins the label git:20260813.422f18d, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_paz5p2gahl3m4mr5.svg)](https://markdownregistry.com/a/art_paz5p2gahl3m4mr5)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Feb 2, 2026 and Aug 13, 2026, about one every 192 days.

versioncommittedcommitsizeaudit
git:20260813.422f18d latest2026-08-13 422f18d 5,367 BC view · diff
git:20260202.5e4e5832026-02-02 5e4e583 3,815 BC view

Audit of the latest version

C  15 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No curl or wget piped into a shell (matched: curl -LsSf https://hf.co/cli/install.sh | bash)
  • fail: No script tag (matched: <script)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5367 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

svngoku/coding-agents-skills · 12 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_paz5p2gahl3m4mr5
GET https://markdownregistry.com/api/v1/resolve?ref=svngoku/coding-agents-skills/unsloth-hf-jobs
GET https://markdownregistry.com/api/v1/blob/0775132b8dd7411c29b8be7b7dff9845a6c5a7bbbfc01919264f6056b8e99707

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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