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RamaLama can be installed on multiple platforms using various methods. Choose the installation method that best fits your environment.

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Quick Install

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Universal Install Script (Linux and macOS)

The easiest way to install RamaLama is using the universal install script: 
curl -fsSL https://ramalama.ai/install.sh | bash
This script will automatically detect your system and install RamaLama with the appropriate method.

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Platform-Specific Installation

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Fedora

On Fedora systems, you can install RamaLama directly from the official repositories: 
sudo dnf install python3-ramalama

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PyPI (All Platforms)

RamaLama is available on PyPI and can be installed using pip: 
pip install ramalama

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Optional Components

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MLX Runtime (macOS with Apple Silicon)

For macOS users with Apple Silicon hardware (M1, M2, M3, or later), you can install the MLX runtime for enhanced performance: 
# Using uv (recommended)
uv pip install mlx-lm

# Or using pip
pip install mlx-lm
The MLX runtime is specifically designed for Apple Silicon Macs and provides optimized AI model inference. To use MLX, you’ll need to run RamaLama with the --nocontainer option.

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Verify Installation

After installation, verify that RamaLama is working correctly: 
ramalama version
You should see output similar to: 
ramalama version 0.11.1

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Next Steps

Once RamaLama is installed, you can:
  1. Pull your first model: ramalama pull ollama://tinyllama
  2. Run a model: ramalama run ollama://tinyllama
  3. Explore available commands: ramalama --help
For detailed usage instructions, see the Commands section.

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Platform-Specific Setup

After installation, you may need additional platform-specific configuration: