π³ docker-model-runner - Run AI Models with Ease

π Getting Started
The docker-model-runner allows you to run AI models simply and efficiently. It comes equipped with support for the Anthropic API and Claude Code. You can also deploy models to HuggingFace Spaces. This guide will help you download and run the application with ease.
π Features
- Self-hosted Inference Server: Manage your AI models locally without relying on external services.
- Claude Code Support: Utilize Claude Code functionality for powerful AI capabilities.
- Interleaved Thinking: Use advanced thinking strategies for better model responses.
- Easy Deployment to HuggingFace: Streamline the deployment of your models.
- CPU Inference: Compatible with machines that might not have powerful GPUs.
π§ System Requirements
Before you begin, ensure your system meets the following requirements:
- Operating System: Windows, macOS, or Linux.
- Docker: Make sure you have Docker installed on your system. You can download it from Dockerβs official website.
- Basic Command Line Skills: You should be comfortable using the terminal or command prompt for running simple commands.
π₯ Download & Install
To get started, visit the GitHub Releases page to download the application. Click the button below:
Download from Releases
ποΈ Installation Steps
- Download the Latest Release
- Go to the Releases page.
- Look for the latest version and download the appropriate file for your operating system.
- Install Docker
- If you donβt have Docker installed, download it from Dockerβs official website.
- Follow the installation instructions for your operating system.
- Run the Application
Replace yourdockerimage with the actual image name from the downloaded files.
- Access the Server
- Open a web browser and go to
http://localhost. You should see the inference server interface.
π How to Use the Application
Once the application is running, you can interact with it through its simple web interface. Hereβs how to get started:
- Select Your Model: Choose the model you want to use. The options will be listed on the homepage.
- Input Your Data: Enter the input data you want to process through the selected AI model.
- Run the Model: Click the βRunβ button to get the results.
- View Results: The application will display the output right on the screen.
β Troubleshooting
If you encounter issues while installing or running the application, try the following:
- Check Docker Status: Ensure Docker is running on your machine. Sometimes restarting Docker can resolve problems.
- Inspect Logs: Look at the terminal output for any error messages. This can give you clues about what went wrong.
- Reinstall the Application: If issues persist, consider removing the existing installation and starting over.
Join our community for support and updates:
- GitHub Issues: Report bugs or get help by opening an issue on our repository.
- Discussion Board: Participate in discussions with other users and developers.
π Useful Links
π οΈ Contributing
Contributions are welcome! If youβd like to contribute to the project, please read the contributing guidelines. We appreciate your help in improving the application.
π License
This project is licensed under the MIT License. See the LICENSE file for details.
Download from Releases