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Fine-tuning with Axolotl and YAML configs v1.0.0

Use this resource to set up a fine-tuning run with Axolotl using YAML configs

New

  • 402 downloads
  • 236 likes
  • 231 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install axolotl-yaml-finetuning

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 writes the YAML configuration for the model, dataset and training method, then lists the data formats and useful commands. You get a config file ready to launch, with examples drawn from the documentation.

Mostly picked by

Updated November 2, 2026

Card for the “Fine-tuning with Axolotl and YAML configs” skill

Details

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

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What you get

  • SKILL.md: common configurations and quick start
  • references/dataset-formats.md: dataset formats
  • references/api.md: API reference

Good fit for

  • You want fine-tuning driven by a versioned YAML file
  • You must choose between DPO, KTO and ORPO for a preference dataset

Not for

    Tags

    • axolotl
    • yaml
    • lora
    • fine-tuning

    About

    You say

    “Write an Axolotl config for a LoRA run on my dataset in ShareGPT format.”

    Card for the “Fine-tuning with Axolotl and YAML configs” skill

    Skill published by Orchestra Research 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 a fine-tuning run with Axolotl using YAML configs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/api.md123.7 KB
    • references/dataset-formats.md46 KB
    • references/index.md0.2 KB
    • references/other.md140.6 KB
    • SKILL.md4.9 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/fine-tuning-axolotl
    Licence
    MIT

    Notice

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

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