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RamaLama

RamaLama

Open-source tool that simplifies local serving of AI models and their use through a container interface.

0 members list RamaLama, unchanged over the last 12 weeks, data as of 3 November 2026

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History
Collected from public datasets outside Stackness, not from stacks on this site. Each series is scaled to its own peak because the units do not compare. Data sources
Installs, monthly

Homebrew analytics installs: 449 installs (2026) to 252 installs (2026)

2026

Imported from Homebrew analytics

About RamaLama

RamaLama is an open-source tool designed to simplify the local serving of artificial intelligence models from various sources. It provides developers with a container-based interface for working with AI models, making it easier to run inference workloads in production environments. The tool leverages containerization concepts and supports multiple frameworks and hardware configurations. RamaLama is written in Python and developed by containers. The project is licensed under the MIT license, making it freely available for use, modification, and distribution.

The tool addresses the challenge of integrating AI models into applications by abstracting away the complexity of model serving through familiar container workflows. It supports various inference engines and optimization frameworks, allowing developers to work with different model types and hardware accelerators in a unified manner. This approach enables teams to manage AI model deployments consistently across different environments.

Developer
containers
GitHub
License
MIT
GitHub
Language
Python
GitHub
Latest release
0.25.0, 25 September 2026
GitHub
GitHub stars
3.1k
GitHub
Repository since
July 2024
GitHub

Checked 3 November 2026.

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