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Large-scale RL post-training with miles v1.0.0

Use this resource to train very large MoE models with reinforcement learning using miles

New

  • 572 downloads
  • 146 likes
  • 131 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install miles-moe-rl-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

The agent prepares installation with Docker or from source, configures low-precision training and optimizations, then walks through the prerequisites. You get a setup for heavy infrastructure and the stability points to watch.

Mostly picked by

Updated November 2, 2026

Card for the “Large-scale RL post-training with miles” skill

Details

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

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What you get

  • SKILL.md: installation, low-precision training and optimizations
  • references/api-reference.md: API reference
  • references/troubleshooting.md: common issues

Good fit for

  • You train a very large MoE model across several nodes
  • You need exact alignment between training and inference

Not for

    Tags

    • rl
    • moe
    • fp8
    • post-training

    About

    You say

    “Prepare an RL run of my MoE model in FP8 with miles, following the prerequisites checklist.”

    Card for the “Large-scale RL post-training with miles” skill

    Skill published by davila7 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 train very large MoE models with reinforcement learning using miles
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/api-reference.md4.2 KB
    • references/troubleshooting.md6 KB
    • SKILL.md9 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/post-training-miles
    Licence
    MIT

    Notice

    « post-training-miles » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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