---

name: pytorch-fsdp description: Fully sharded data-parallel training for large models. version: 1.0.0 author: Orchestra Research license: MIT dependencies: [torch>=2.0, transformers] platforms: [linux, macos] metadata: hermes: tags: [Distributed Training, PyTorch, FSDP, Data Parallel, Sharding, Mixed Precision, CPU Offloading, FSDP2, Large-Scale Training]

---

Pytorch-Fsdp Skill

Assistance with pytorch-fsdp development, generated from official documentation.

When to Use This Skill

This skill should be triggered when:

• Working with pytorch-fsdp
• Asking about pytorch-fsdp features or APIs
• Implementing pytorch-fsdp solutions
• Debugging pytorch-fsdp code
• Learning pytorch-fsdp best practices

Quick Reference

The full common-patterns catalog (~157k chars of runnable FSDP snippets) lives in references/common-patterns.md — load it with read_file when you need wrapping, sharding-strategy, checkpoint, or mixed-precision examples. Start there rather than reconstructing FSDP incantations from memory.

Reference Files

This skill includes comprehensive documentation in references/:

• other.md - Other documentation

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

Start with the getting_started or tutorials reference files for foundational concepts.

For Specific Features

Use the appropriate category reference file (api, guides, etc.) for detailed information.

For Code Examples

The quick reference section above contains common patterns extracted from the official docs.

Resources

references/

Organized documentation extracted from official sources. These files contain:

• Detailed explanations
• Code examples with language annotations
• Links to original documentation
• Table of contents for quick navigation

scripts/

Add helper scripts here for common automation tasks.

assets/

Add templates, boilerplate, or example projects here.

Notes

• This skill was automatically generated from official documentation
• Reference files preserve the structure and examples from source docs
• Code examples include language detection for better syntax highlighting
• Quick reference patterns are extracted from common usage examples in the docs

Updating

To refresh this skill with updated documentation:

1. Re-run the scraper with the same configuration
2. The skill will be rebuilt with the latest information