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Taking a PyTorch script to multi-GPU with Accelerate v1.0.0

Use this resource to add distributed training and mixed precision to a PyTorch script

New

  • 412 downloads
  • 131 likes
  • 210 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install accelerate-unified-distributed-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 add Accelerate to your PyTorch script in a few lines, configure the precision mode (FP16, BF16 or FP8), then launch training on one GPU, several GPUs or several nodes with a single command.

Mostly picked by

Updated November 2, 2026

Card for the “Taking a PyTorch script to multi-GPU with Accelerate” skill

Details

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

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What you get

  • SKILL.md: script changes, configuration and launch commands
  • references/custom-plugins.md, megatron-integration.md and performance.md: plugins, Megatron integration and performance

Good fit for

  • You want multi-GPU without rewriting your training loop
  • You use the Hugging Face ecosystem

Not for

    Tags

    • pytorch
    • multi-gpu
    • mixed precision
    • hugging face

    About

    You say

    “Add Accelerate to my training script and run it on eight GPUs in BF16.”

    Card for the “Taking a PyTorch script to multi-GPU with Accelerate” skill

    Skill published by Orchestra Research 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 add distributed training and mixed precision to a PyTorch script
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/custom-plugins.md11.9 KB
    • references/megatron-integration.md11.5 KB
    • references/performance.md12.8 KB
    • SKILL.md8.5 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/08-distributed-training/accelerate
    Licence
    MIT

    Notice

    « huggingface-accelerate » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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