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Mixed precision training v1.0.0

Use this resource to enable mixed precision training

New

  • 466 downloads
  • 189 likes
  • 192 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mixed-precision-training

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

This skill activates on mixed precision requests and guides the agent step by step, with examples and error-handling rules. Its page does not detail hardware requirements, so check your GPU compatibility.

Mostly picked by

Updated November 2, 2026

Card for the “Mixed precision training” skill

Details

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

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What you get

  • SKILL.md: enablement steps and prerequisites
  • SKILL.md: examples and error handling

Good fit for

  • Your model runs out of GPU memory
  • You want to speed up an existing training run

Not for

    Tags

    • mixed precision
    • training
    • gpu
    • machine learning

    About

    You say

    “Enable mixed precision training to reduce my model's GPU memory use.”

    Card for the “Mixed precision training” 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 enable mixed precision training
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/07-ml-training/mixed-precision-trainer
    Licence
    MIT

    Notice

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

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