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syncing-ml-models

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Synchronizes ML model files across servers. Supports rsync-based transfer with bandwidth control and checksum verification. Use for "모델 동기화", "모델 배포", "rsync 모델", "서버로 전송" requests.

6 stars
1.2k downloads
Updated 2/27/2026

Package Files

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SKILL.md

Model Sync

Sync ML model files between servers.

Quick Reference

Basic Sync

rsync -avz --progress \
  ./models/ user@server:/models/

With Bandwidth Limit

rsync -avz --bwlimit=10000 \
  ./models/ user@server:/models/

Checksum Verification

rsync -avzc \  # -c for checksum
  ./models/ user@server:/models/

Common Patterns

Sync Specific Model

rsync -avz ./models/llama-7b/ server:/models/llama-7b/

Exclude Checkpoints

rsync -avz --exclude='*.ckpt' --exclude='*.tmp' \
  ./models/ server:/models/

Dry Run (Preview)

rsync -avzn ./models/ server:/models/

Multi-Server Sync

# Sync to multiple servers
for server in gpu1 gpu2 gpu3; do
  rsync -avz ./models/ $server:/models/ &
done
wait

Verification

# Generate checksum
sha256sum models/model.bin > model.sha256

# Verify on remote
ssh server "cd /models && sha256sum -c model.sha256"

Best Practices

  • Use --checksum for critical models
  • Limit bandwidth on production networks
  • Always verify after sync
  • Use --delete carefully (removes extra files)

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

62/100Analyzed 3/2/2026

Practical rsync reference for ML model file synchronization. Provides clear command examples for basic sync, bandwidth control, checksum verification, and multi-server scenarios. Well-structured but lacks prerequisites, error handling, and explicit trigger section. The content is generic enough to be reusable beyond ML models, though the examples are ML-specific. Safety coverage is limited - only warns about --delete without backup recommendations.

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Metadata

Licenseunknown
Version-
Updated2/27/2026
Publisherjiunbae

Tags

ci-cd