syncing-ml-models

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.

Stars 10

Forks 1

Install this agent skill to your Project

npx add-skill https://github.com/jiunbae/agent-skills/tree/main/ml/model-sync

SKILL.md

Model Sync

Sync ML model files between servers.

Quick Reference

Basic Sync

bash

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

With Bandwidth Limit

bash

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

Checksum Verification

bash

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

Common Patterns

Sync Specific Model

bash

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

Exclude Checkpoints

bash

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

Dry Run (Preview)

bash

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

Multi-Server Sync

bash

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

Verification

bash

# 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)

Search AI Tools

syncing-ml-models

Install this agent skill to your Project

SKILL.md

Model Sync

Quick Reference

Basic Sync

With Bandwidth Limit

Checksum Verification

Common Patterns

Sync Specific Model

Exclude Checkpoints

Dry Run (Preview)

Multi-Server Sync

Verification

Best Practices

Recommended Agent Skills

implementing-in-background

review-fix-loop

planning-in-background

background-reviewer

managing-context

indexing-static-context