Individual skill
pytorch-fsdp
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
backend/cli/skills/ml-training/pytorch-fsdp/SKILL.md
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- Last checked
- Nov 2, 2026
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- Repository stars (not skill ratings)
- 4,353
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- distributed-training Declared skill tag
- pytorch Declared skill tag
- fsdp Declared skill tag
- data-parallel Declared skill tag
- sharding Declared skill tag
- mixed-precision Declared skill tag
- cpu-offloading Declared skill tag
- fsdp2 Declared skill tag
- large-scale-training Declared skill tag
- data Derived category
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Read excerpt
# Pytorch-Fsdp Skill
Comprehensive 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