model-sync

Model synchronization automates deployment of ML models across servers using rsync-based file transfer with SSH. Configure server aliases and naming patterns in ~/.model-sync.yaml, then use model-sync.sh to push local models to remote hosts or pull remote models for local use with automated integrity verification.

Yes, model-sync performs checksum verification using md5sum after transfer to ensure files arrived intact. This catches corruption during transit and confirms successful deployment across servers without manual validation.

Model deployment via rsync requires SSH keys configured for passwordless authentication between hosts, rsync and md5sum installed on all servers, and a ~/.model-sync.yaml configuration file defining server aliases and model path patterns for automated synchronization.

Version tracking uses naming conventions in your model files to identify versions automatically. The tool maps local and remote model paths based on these patterns, enabling version-aware synchronization and preventing accidental overwrites of different model versions.

Yes, model-sync supports NFS paths through automatic path mapping configured in ~/.model-sync.yaml. It synchronizes models between local directories, NFS mounts, and remote servers in a unified workflow.

Rsync resumes interrupted transfers efficiently by checking file state before retrying. Combined with post-transfer checksum validation, failed or partial transfers are detected and can be re-run without manual intervention.