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Training Mixture of Experts models v1.0.0

Use this resource to train a Mixture of Experts model with DeepSpeed or Hugging Face

New

  • 555 downloads
  • 106 likes
  • 235 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mixture-of-experts-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 helps you set up an MoE architecture, its routing mechanism and load balancing across experts, then expert parallelism and inference. You get a training configuration and the points to watch.

Mostly picked by

Updated November 2, 2026

Card for the “Training Mixture of Experts models” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: quick start and basic MoE architecture
  • references/training.md: training with DeepSpeed and Megatron-DeepSpeed
  • references/architectures.md and references/inference.md: architectures and inference optimization

Good fit for

  • You want more model capacity without more compute per token
  • You are studying architectures such as Mixtral or DeepSeek-V3

Not for

    Tags

    • mixture of experts
    • moe
    • deepspeed
    • routing

    About

    You say

    “Prepare the training of an 8-expert MoE with DeepSpeed, with load balancing across experts.”

    Card for the “Training Mixture of Experts models” 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 a Mixture of Experts model with DeepSpeed or Hugging Face
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/architectures.md14.1 KB
    • references/inference.md8.4 KB
    • references/training.md9.9 KB
    • SKILL.md15.2 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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