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Together AI model fine-tuning with data checks v1.0.0

Use this resource to prepare, submit and track a Together AI fine-tuning job

New

  • 475 downloads
  • 192 likes
  • 237 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install together-ai-fine-tuning-workflow

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 the JSONL training set, verifies quality criteria and the validation set, then submits the fine-tune job with a cost ceiling. Model deployment is validated separately.

Mostly picked by

Updated November 2, 2026

Card for the “Together AI model fine-tuning with data checks” skill

Details

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

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What you get

  • SKILL.md : data qualification, asynchronous job and cost ceiling
  • references/official-docs.md : supported base models and tuning methods

Good fit for

  • You want to adapt a model to your example answers
  • A previous fine-tune cost more than expected

Not for

    Tags

    • together ai
    • fine-tuning
    • jsonl
    • cost
    • models

    About

    You say

    “Prepare a Together AI fine-tune from our JSONL example file, with a one-hundred-dollar ceiling.”

    Card for the “Together AI model fine-tuning with data checks” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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, submit and track a Together AI fine-tuning job
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/official-docs.md3 KB
    • SKILL.md4.2 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/together-core-workflow-a
    Licence
    MIT

    Notice

    « together-core-workflow-a » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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