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Train a model with PyTorch Lightning v1.0.0

Use this resource to structure and train a PyTorch model with Lightning

New

  • 341 downloads
  • 197 likes
  • 209 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install pytorch-lightning-training-loop

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 converts your PyTorch code into a LightningModule, prepares the data and runs training with Trainer, validation and tests included. You get a script ready to run, with the move to DDP documented.

Mostly picked by

Updated November 2, 2026

Card for the “Train a model with PyTorch Lightning” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: quick start and three workflows, from raw PyTorch to DDP
  • references/: callbacks, distributed training and hyperparameter tuning

Good fit for

  • Your PyTorch training loop has become hard to maintain
  • You want to move to multi-GPU without rewriting the loop

Not for

    Tags

    • pytorch lightning
    • training
    • deep learning
    • ddp
    • hyperparameters

    About

    You say

    “Convert my image classification model to a LightningModule and add validation.”

    Card for the “Train a model with PyTorch Lightning” 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 structure and train a PyTorch model with Lightning
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/callbacks.md11.7 KB
    • references/distributed.md10.6 KB
    • references/hyperparameter-tuning.md12.3 KB
    • SKILL.md8.8 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/mlops/pytorch-lightning
    Licence
    MIT

    Notice

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

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