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LLM fine-tuning: QLoRA, Axolotl and DeepSpeed v1.0.0

Use this resource to set up LLM fine-tuning on your own data

New

  • 454 downloads
  • 236 likes
  • 198 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-fine-tuning-qlora

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent configures a QLoRA training run with 4-bit quantization and a LoRA configuration, describes an Axolotl configuration file and a distributed DeepSpeed launch, then explains model export. You get commands and training configuration files.

Mostly picked by

Updated November 2, 2026

Card for the “LLM fine-tuning: QLoRA, Axolotl and DeepSpeed” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: 4-bit quantization, LoRA configuration and QLoRA quick start
  • SKILL.md: Axolotl configuration, DeepSpeed distributed training and DPO alignment

Good fit for

  • You want to adapt an open model to a specific domain such as legal or customer support
  • You need to train a large model on consumer GPUs

Not for

    Tags

    • fine-tuning
    • qlora
    • lora
    • gpu
    • training

    About

    You say

    “Prepare a QLoRA fine-tune of Llama 3.1 on our support tickets and export the adapter.”

    Card for the “LLM fine-tuning: QLoRA, Axolotl and DeepSpeed” skill

    Skill published by bagelhole under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to set up LLM fine-tuning on your own data
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md8.9 KB

    Origin and licence

    Listed unmodified

    Author
    bagelhole
    Source
    github.com/bagelhole/devops-security-agent-skills/tree/0365f57a079b1332f95cf26e31dd2d5332a8399f/infrastructure/local-ai/llm-fine-tuning
    Licence
    MIT

    Notice

    « llm-fine-tuning » (bagelhole, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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