How to actually run DeepSeek locally

Introduction

This tutorial will guide you through the process of running DeepSeek r1, a new AI model, locally on your Windows PC. By following these steps, you will learn how to set up and execute DeepSeek efficiently, allowing you to harness its capabilities without needing an internet connection.

Step 1: Download Required Files

1. Visit the official repository or website where DeepSeek r1 is hosted.
2. Look for the download link for the DeepSeek r1 model.
3. Download the required files to your local machine.
4. Ensure you have enough storage space, as these files may be large.

Step 2: Install Docker

1. Go to the Docker website and download the Docker Desktop application for Windows.
2. Run the installer and follow the on-screen instructions to complete the installation.
3. After installation, launch Docker Desktop and ensure it is running properly. You may need to log in or create a Docker account.

Step 3: Set Up DeepSeek with Docker

1. Open your command prompt or terminal.

2. Pull the DeepSeek Docker image by running the following command:

   docker pull <deepseek_image_name>
   

   Replace <deepseek_image_name> with the actual name of the DeepSeek image.

3. Once the image is downloaded, you can run it using the command:

   docker run -it <deepseek_image_name>
   

Step 4: Configure DeepSeek

1. After the Docker container starts, you may need to configure it based on your requirements.
2. Check the documentation or README file included in the downloaded files for specific configuration options.
3. Common configurations may include setting model parameters or specifying the input data format.

Step 5: Run DeepSeek

1. With the configuration in place, you can now execute DeepSeek.
2. Use the following command format to run the model:

   python run_deepseek.py --options
   

   Make sure to replace --options with the necessary parameters for your specific use case.

Step 6: Verify Results

1. Once DeepSeek has finished running, check the output files or logs generated by the model.
2. Validate that the results meet your expectations and troubleshoot any issues that may arise.

Conclusion

You have successfully set up and run DeepSeek r1 on your local Windows machine. By following these steps, you can utilize this powerful AI model for various applications. For further exploration, consider experimenting with different configurations or integrating DeepSeek into other projects.