ormb

Overview

ormb is a command-line tool that packages machine learning and deep learning models as OCI artifacts, enabling them to be stored, versioned, and distributed using standard container registries. It works by wrapping model files into OCI-compliant layers, allowing developers to push and pull models with familiar Docker-like commands.

Best for

Best for
Developers who want to manage ML model versions using standard container registries and workflows.

Use cases

• Versioning and sharing ML models via container registries
• Integrating model distribution into existing CI/CD pipelines
• Reproducing model deployments by pulling specific model versions

Notes

ormb is a command-line tool that packages machine learning and deep learning models as OCI artifacts, enabling them to be stored, versioned, and distributed using standard container registries. It works by wrapping model files into OCI-compliant layers, allowing developers to push and pull models with familiar Docker-like commands.

473 stars on GitHub. Last updated 2024-01-26. Licensed Apache-2.0.

Use cases

• Versioning and sharing ML models via container registries
• Integrating model distribution into existing CI/CD pipelines
• Reproducing model deployments by pulling specific model versions

Pros

• Leverages existing OCI infrastructure for model storage
• Simple Docker-like CLI reduces learning curve
• Enables consistent model versioning across environments

Cons

• Limited community adoption with only 473 stars
• No built-in support for model metadata or provenance tracking
• Requires a container registry, adding dependency overhead

Indexed from awesome-llmops and enriched against its public facts.