Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Faster, lighter fine-tuning with Unsloth v1.0.0

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

New

  • 582 downloads
  • 142 likes
  • 116 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install unsloth-faster-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 guides you through using Unsloth to train a model with LoRA or QLoRA, with settings to save time and memory. The announced gains are 2 to 5 times faster training and 50 to 80 % less memory.

Mostly picked by

Updated November 2, 2026

Card for the “Faster, lighter fine-tuning with Unsloth” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

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

Good fit for

  • You lack GPU memory to fine-tune a model
  • You want to reduce training time

Not for

    Tags

    • unsloth
    • fine-tuning
    • lora
    • memory

    About

    You say

    “Fine-tune an 8B model with Unsloth using QLoRA on my 16 GB card.”

    Card for the “Faster, lighter 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 and lighten 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/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/03-fine-tuning/unsloth
    Licence
    MIT

    Notice

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

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.