Deepseek R1 671b Running LOCAL AI LLM is a ChatGPT Killer!

Introduction

This tutorial will guide you through setting up and running the Deepseek R1 671b locally, an AI model that claims to be a strong competitor to ChatGPT. With requirements like high RAM and specific hardware configurations, this guide will help you navigate through the setup process to effectively run this AI model on your machine.

Step 1: Understand Hardware Requirements

Before setting up Deepseek R1 671b, ensure your hardware meets the following minimum specifications:

• RAM/VRAM: At least 768GB is recommended for optimal performance, especially for Q4 context size.
• CPU: Consider using powerful CPUs like the AMD EPYC 7702p or Xeon E7-8890V4.
• GPU: A minimum of four RTX 3090 GPUs is ideal to manage heavy AI computations.
• Motherboard: Compatible options include the Gigabyte MZ32-AR0 or Supermicro H12SSL-i.

Practical Tips

• Invest in adequate cooling solutions and thermal paste (like ARCTIC MX4) to maintain stable temperatures during operation.
• Ensure your power supply (PSU) is sufficient, such as the CORSAIR HX1500i, to handle multiple GPUs.

Step 2: Assemble Your Hardware

Follow these steps to assemble your hardware:

1. Install the CPU:

   • Secure the CPU onto the motherboard using the appropriate retention kit.

2. Attach the GPUs:

   • Insert the four RTX 3090 GPUs into the PCIe slots with risers for stability.

3. Connect RAM:

   • Install the 512GB DDR4 RAM modules in the designated slots on the motherboard.

4. Setup Cooling:

   • Attach the iCUE H170i ELITE CAPELLIX cooler to the CPU and apply thermal paste as needed.

5. Power Connections:

   • Connect all power cables from the PSU to the motherboard and GPUs.

Common Pitfalls

• Ensure that all components are compatible with each other to avoid hardware conflicts.
• Double-check power connections to prevent unexpected shutdowns during operation.

Step 3: Install Required Software

Once your hardware is set up, it's time to install the necessary software to run Deepseek R1 671b:

1. Operating System:

   • Install a compatible operating system, preferably a Linux distribution known for AI tasks.

2. Install Dependencies:

   • Open a terminal and install the following packages:

     sudo apt install python3 python3-pip
     pip3 install torch torchvision torchaudio
     

3. Download Deepseek R1 671b:

   • Clone the repository or download the Deepseek R1 files from the official source.
   • Navigate to the directory where Deepseek R1 is located.

Practical Advice

• Regularly update your system and libraries to benefit from the latest performance improvements and security patches.

Step 4: Running Deepseek R1 671b

You are now ready to run the Deepseek R1 model:

1. Launch the Model:

   • Use the terminal to navigate to the Deepseek directory and start the model with the command:

     python3 run_deepseek.py
     

2. Test Functionality:

   • Interact with the model to ensure it is operational. You can run a simple code test such as:

     response = deepseek_model.query("Hello, how are you?")
     print(response)
     

Common Issues

• If the model does not run, check for error messages in the terminal to identify missing dependencies or configurations.

Conclusion

Setting up and running Deepseek R1 671b locally requires careful attention to hardware specifications and software installations. By following these steps, you will have a robust setup capable of handling complex AI tasks. As you explore its functionalities, consider sharing your experiences or any issues you encounter for further assistance.