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Fast fine-tuning with Unsloth v1.0.0

Use this resource to speed up LoRA or QLoRA fine-tuning with Unsloth

New

  • 447 downloads
  • 211 likes
  • 250 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install unsloth-fast-lora-training

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 sets up Unsloth for a base model, configures the LoRA and QLoRA parameters, then relies on the bundled reference documentation. You get lighter training and settings checked against the docs.

Mostly picked by

Updated November 2, 2026

Card for the “Fast fine-tuning with Unsloth” skill

Details

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

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What you get

  • SKILL.md: quick start, common patterns and reference folder
  • references/llms-txt.md: reference Unsloth documentation
  • references/llms-full.md: full documentation

Good fit for

  • Your training exceeds your GPU's memory
  • You want to iterate quickly on several LoRA adapters

Not for

    Tags

    • unsloth
    • lora
    • qlora
    • training

    About

    You say

    “Fine-tune an 8-billion-parameter model with Unsloth using QLoRA on a single 16 GB card.”

    Card for the “Fast fine-tuning with Unsloth” 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 speed up LoRA or QLoRA fine-tuning with Unsloth
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/index.md0.1 KB
    • references/llms-full.md1,068.4 KB
    • references/llms-txt.md805.8 KB
    • references/llms.md12.3 KB
    • SKILL.md2.3 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-unsloth
    Licence
    MIT

    Notice

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

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