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RamaLama

Run AI models using OCI containers

Self-Hosted AI ★ 3.1k stars Medium setup MIT

RamaLama makes working with AI models simple by packaging and running them as OCI containers. It detects available hardware, pulls models from registries, and serves them with a consistent command line.

Official siteSource code

Key features

  • Container-native model running
  • Automatic hardware detection
  • OCI registry distribution
  • Kubernetes generation

Strengths

  • Released under the MIT license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Active community (3.1k GitHub stars)

Is RamaLama secure?

OSV.dev has no published security advisories for RamaLama's repository. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.

Source: OSV.dev, checked 2026-10-14. How this is measured.

RamaLama replaces

Self-hosted Ollama alternatives

Health badge

Maintain RamaLama? Add its health score to your README. The badge links back to this page.

SelfHostIndex: 87 · excellent

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The score is recomputed on every nightly rebuild from public repository data — see how it is calculated.

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