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🐳🐍 OCI Images for Machine Learning. Best for MLOps, LLMOps, and developing models or work with weights locally.

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OCI Images for Machine Learning

Best for MLOps, LLMOps, and developing models or work with weights locally.

Container recipes that back the machine-learning images published under ghcr.io/nekomeowww. The repository is organised around reusable base images and higher level tooling built on top of them.

Base Environments

  • ghcr.io/nekomeowww/oci-ml-python β€” source
  • ghcr.io/nekomeowww/oci-ml-nvidia-cuda β€” source
  • ghcr.io/nekomeowww/oci-ml-pytorch β€” source
  • ghcr.io/nekomeowww/oci-ml-onnxruntime β€” source

CLI Tools

optimum-cli

See source for available tags and dependency graph.

Building locally

Use Docker Buildx (or regular docker build) from the repository root. The helper script below rebuilds the current stack in dependency order:

./dockerfiles/clis/optimum-cli/0.0.3/build.sh

Each image can also be built individually. For example, to rebuild the PyTorch base image:

docker buildx build . \
  -f dockerfiles/bases/torch/py3.13-cu13.0-2.9.0/Dockerfile \
  --load -t ghcr.io/nekomeowww/oci-ml-pytorch:py3.13-cu13.0-2.9.0

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🐳🐍 OCI Images for Machine Learning. Best for MLOps, LLMOps, and developing models or work with weights locally.

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