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veomni-debug

Official

Streamlined debugging for distributed training and models.

Software Engineering#debugging#model training#error analysis#pytorch#distributed training#moe#fssdp
AuthorByteDance-Seed
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides comprehensive guidance and structured protocols to identify, analyze, and fix complex bugs, errors, and unexpected behaviors in large-scale distributed model training environments.

Core Features & Use Cases

  • Debugging Protocols: Offers step-by-step procedures for root cause investigation, hypothesis testing, and fix verification tailored to machine learning training issues.
  • Structured Approach: Guides users through investigating common pitfalls such as sharding mismatches, gradient issues, and checkpoint errors.
  • Use Case: Data scientists or engineers troubleshooting OOM errors in FSDP2-based training environments can follow the protocols to isolate and resolve issues efficiently.

Quick Start

Read the troubleshooting guide to systematically diagnose a training hang or crash caused by distribution misconfiguration.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: veomni-debug
Download link: https://github.com/ByteDance-Seed/VeOmni/archive/main.zip#veomni-debug

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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