Cog packages machine learning models into containers to support deployment across environments.
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ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
About ormb
ORMB is an open-source model registry for managing machine learning and deep learning models. It packages models as OCI artifacts and stores them in container image registries, in a workflow described as Docker for ML models.
You can use its command-line tool to save a local model folder to a local cache, push it to a remote registry, pull it back, and export it to a directory. Models are versioned with tags and use an ormbfile.yaml file to define the model folder structure. It works with registries such as Harbor and Docker Registry, and the repository includes documentation and tutorials for distribution and serving with Seldon Core.
It suits developers and machine learning teams who already work with container registries and want to create, version, share, and publish models using a similar process.
Key features
- Package ML and DL models as OCI artifacts
- Save local model folders to local cache
- Push models to and pull from image registries
- Export models from cache to local directory
- Version models with tags
- Works with Harbor or Docker Registry
Best for: Developers and ML teams who want to version and share models through container registries.
Good for
- Open source under Apache-2.0 license
- Uses standard OCI image registries for storage
- Includes documentation, examples, and tutorials
- Command-line workflow similar to Docker
Watch out for
- Requires a separate image registry such as Harbor
- Requires models to follow ormbfile.yaml structure
ormb at a glance
- Website
- github.com/kleveross/ormb
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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ormb FAQ
What is ORMB?
ORMB is an open-source model registry that manages machine learning models as OCI artifacts using image registries.
How do you share models with ORMB?
You save a model directory to the local cache, push it to a remote registry, and others can pull and export it.
Which registries does ORMB work with?
It stores models in image registries, with Harbor recommended and Docker Registry also supported.
How do you install ORMB?
You can download a pre-compiled binary from the releases page or clone the repository and build from source.
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