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pytorch-fsdp Skill

AI Agent SkillPythonOpen source

Fully sharded data-parallel training for large models. Published by NousResearch in hermes-agent.

Decision snapshot

Is this a fit?

Best for

Documentation, Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

29 days ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is pytorch-fsdp Skill?

Fully sharded data-parallel training for large models. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Data analysis
  • Documentation use cases
  • Data analysis use cases

Declared skill metadata

  • Declared author: Orchestra Research
  • Declared license: MIT
  • Source file: optional-skills/mlops/pytorch-fsdp/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use pytorch-fsdp Skill

  • Use it for documentation.
  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/mlops/pytorch-fsdp/SKILL.md

What it does

Fully sharded data-parallel training for large models.

Skill instructions

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 readfile 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 gettingstarted or tutorials reference files for foundational concepts. For Specific Features Use the appropri

Verified compatibility and discovery

Frequently asked questions

What is pytorch-fsdp?

pytorch-fsdp is a open-source AI agent skill with Copy skill directory. Fully sharded data-parallel training for large models.

Who is pytorch-fsdp best for?

pytorch-fsdp is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows.

How do I install pytorch-fsdp?

Install or run pytorch-fsdp using Copy skill directory. Check pytorch-fsdp for the latest setup command.

Is pytorch-fsdp actively maintained?

pytorch-fsdp may need a closer maintenance check before production use.

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Stars
228,028
Forks
44,793
Last commit
29 days ago
Last verified
Aug 17, 2026
Metadata fetched
Aug 17, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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