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Preparing data and fine-tuning a local LLM v1.0.0

Use this resource to prepare a dataset and fine-tune a local language model

New

  • 530 downloads
  • 135 likes
  • 141 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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 assesses your goal, formats the dataset (JSONL, chat templates) and picks a LoRA or QLoRA approach that fits your GPU memory. You get a training approach, starting hyperparameters and common pitfalls to avoid.

Mostly picked by

Updated November 2, 2026

Card for the “Preparing data and fine-tuning a local LLM” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

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What you get

  • references/dataset-formats.md: dataset formats and chat templates
  • references/hyperparameter-guide.md: hyperparameter guide
  • SKILL.md: goal assessment and common pitfalls

Good fit for

  • You want to specialize an open model on your domain vocabulary
  • Your GPU has little memory and you need a lightweight method

Not for

    Tags

    • fine-tuning
    • lora
    • qlora
    • llm
    • dataset

    About

    You say

    “Prepare a 500-question JSONL dataset of Q&A pairs and set up QLoRA for an open model.”

    Card for the “Preparing data and fine-tuning a local LLM” skill

    Skill published by 4444j99 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 prepare a dataset and fine-tune a local language model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/dataset-formats.md7.4 KB
    • references/hyperparameter-guide.md7.6 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    4444j99
    Source
    github.com/4444j99/a-i--skills/tree/df5445878f12d78d81ec48571fa11063f9a5cd46/skills/specialized/local-llm-fine-tuning
    Licence
    MIT

    Notice

    « local-llm-fine-tuning » (4444j99, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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