Run Distilled DeepSeek-R1 with Graphics User Interface Locally and Privately on Windows

Introduction

This tutorial provides a step-by-step guide on how to run the distilled DeepSeek-R1 model using a graphics user interface (GUI) on a Windows computer. By leveraging the WebUI framework, you can securely and privately operate large language models directly from your web browser. This setup is particularly useful for machine learning enthusiasts who prefer local execution for privacy and efficiency.

Step 1: Install Required Software

Before running DeepSeek-R1, you need to install a few necessary components.

1. Install Python

   • Download the latest version of Python from the official Python website.
   • Ensure you check the box that says "Add Python to PATH" during installation.

2. Install Git

   • Download Git from the official Git website.
   • Follow the installation instructions for your system.

3. Install Visual Studio Build Tools (optional)

   • If you encounter issues with certain Python packages, it may be helpful to install Visual Studio Build Tools.
   • Download it from the Visual Studio website.

Step 2: Set Up DeepSeek-R1 with WebUI

After installing the necessary software, you can proceed to set up DeepSeek-R1.

1. Clone the DeepSeek Repository

   • Open Command Prompt and execute:

     git clone https://github.com/your-repo/deepseek.git
     

   • Replace your-repo with the actual repository location if applicable.

2. Navigate to the DeepSeek Directory

   cd deepseek
   

3. Install Required Python Packages

   • Create a virtual environment (optional but recommended):

     python -m venv venv
     venv\Scripts\activate
     

   • Install the required packages:

     pip install -r requirements.txt
     

Step 3: Run the WebUI

Now that DeepSeek-R1 is configured, you can launch the WebUI.

1. Start the Web Server

   • In the command prompt, run:

     python app.py
     

   • This command starts the web server, allowing you to interact with the model through your browser.

2. Access the Web Interface

   • Open your web browser and navigate to http://localhost:5000.

Step 4: Using DeepSeek-R1

With the WebUI open, you can start using the DeepSeek-R1 model.

1. Input Your Data

   • Enter the text or data you want the model to process in the provided input field.

2. Configure Model Parameters

   • Adjust any parameters (if applicable) to suit your needs for processing.

3. Run the Model

   • Click the "Run" button to start the model and view the output directly in the browser.

Conclusion

You have successfully set up and run the distilled DeepSeek-R1 model with a graphics user interface on your Windows machine. This process allows for local and secure execution of machine learning models directly in your browser. For further exploration, consider experimenting with different input data and model parameters to fully utilize DeepSeek-R1's capabilities. If you encounter issues, refer to the documentation provided in the GitHub repository or seek assistance from the community.