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Implementing and fine-tuning LLMs with LitGPT v1.0.0

Use this resource to load, generate and fine-tune readable LLM architectures

New

  • 572 downloads
  • 234 likes
  • 170 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install litgpt-llm-implementation-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 installing LitGPT, loading a pretrained model from more than twenty architectures, generating text, then fine-tuning on your dataset with LoRA or QLoRA. Each architecture fits in a single file.

Mostly picked by

Updated November 2, 2026

Card for the “Implementing and fine-tuning LLMs with LitGPT” skill

Details

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

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What you get

  • SKILL.md: installation, loading, generation and fine-tuning
  • references/training-recipes.md, custom-models.md, supported-models.md and distributed-training.md: recipes, models, model list and distributed training

Good fit for

  • You want to understand an LLM architecture by reading its code
  • You fine-tune a model with LoRA on a 16 GB GPU

Not for

    Tags

    • llm
    • architecture
    • fine-tuning
    • teaching

    About

    You say

    “Fine-tune Phi-2 with LoRA on my customer reply dataset.”

    Card for the “Implementing and fine-tuning LLMs with LitGPT” 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 load, generate and fine-tune readable LLM architectures
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/custom-models.md15.8 KB
    • references/distributed-training.md11.3 KB
    • references/supported-models.md8.1 KB
    • references/training-recipes.md11.3 KB
    • SKILL.md11.2 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/01-model-architecture/litgpt
    Licence
    MIT

    Notice

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

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