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Deciding whether and how to fine-tune v1.0.0

Use this resource to decide whether fine-tuning is justified, then choose the method and base model

New

  • 590 downloads
  • 210 likes
  • 169 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install finetuning-need-and-method-router

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 checks whether RAG or prompting is enough, then routes the project to the right method: SFT, DPO, KTO, ORPO, GRPO or continued pretraining. It also helps size the base model to the memory you have.

Mostly picked by

Updated November 2, 2026

Card for the “Deciding whether and how to fine-tune” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: decision tree, routing and common mistakes
  • references/model-catalog.md: base model catalogue
  • references/memory-math.md: memory requirement estimates

Good fit for

  • You are torn between fine-tuning, RAG and prompting
  • You must pick a base model for your GPU

Not for

    Tags

    • fine-tuning
    • routing
    • base model
    • rag

    About

    You say

    “Should we fine-tune for our support assistant, or is RAG enough?”

    Card for the “Deciding whether and how to fine-tune” skill

    Skill published by wshobson 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 decide whether fine-tuning is justified, then choose the method and base model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/memory-math.md5.4 KB
    • references/model-catalog.md2.7 KB
    • SKILL.md7.9 KB

    Origin and licence

    Listed unmodified

    Author
    wshobson
    Source
    github.com/wshobson/agents/tree/0874a27b17a22e2b7c2e2bcd725768e0803cad06/plugins/llm-finetuning/skills/finetuning-method-selection
    Licence
    MIT

    Notice

    « finetuning-method-selection » (wshobson, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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