DeepSeek R1 has revolutionized the AI world with its advanced capabilities, offering powerful language processing, enhanced reasoning, and improved efficiency. Running it locally allows you to leverage these innovations without relying on cloud services. Whether you’re a developer, researcher, or AI enthusiast, setting it up on your system ensures greater control, privacy, and efficiency. This guide provides step-by-step instructions for installation, configuration, and execution, helping you seamlessly integrate DeepSeek R1 into your workflow.
Firstly why you should run a AI model locally on your machine
- Running DeepSeek R1 locally ensures data privacy and security by keeping all processing on your device.
- It eliminates cloud subscription costs, making AI more accessible without ongoing expenses.
- Offline access allows continuous usage without internet dependency, ensuring reliability in any situation.
- Customization options let users fine-tune and modify the model for specific applications.
- Local execution reduces latency, providing faster responses compared to cloud-based solutions.
System Requirements
| Model | Parameter | GPU Required | VRAM (GPU Memory) | RAM (System Memory) | Storage (ROM |
| DeepSeek R1 | 1.5B | No GPU / Integrated GPU | 4GB+ | 8GB+ | 10GB+ |
| DeepSeek R1 | 7B | GTX 1650 / RTX 3050 | 6GB+ | 16GB+ | 30GB+ |
| DeepSeek R1 | 14B | RTX 3060 / RTX 4060 | 12GB+ | 32GB+ | 60GB+ |
| DeepSeek R1 | 33B | RTX 4090 / A100 | 24GB+ | 64GB+ | 100GB+ |
Software Requirements
Make sure you have Python 3.10+ preinstalled
Step-by-Step Installation Guide:
1. Download & Install Olama
- Click on download, windows version.
- Install setup after download.
- A cmd window will open.
2. Select desired Model
- Select your desired parameters according to your requirements, ( b represents billion so 1.5b is 1.5 billion parameters).
- Copy the command from the right
- Paste the command in the cmd window earlier opened, (it will automatically download all files)
- Please keep in mind your system specs, running a higher parameter requires higher performance CPU & GPU
3. Install ChatboxAI
You want to interact with your AI model with proper UI then follow these steps :
- Download Chatbox AI
- Install chatbox AI
- Go to Settings
- Click on Model
- Select ollama API from dropdown menu
- Select Deepseek R1 in models
- Click on save
Common Problems & Solutions
1. Low VRAM causing model crashes?
- If the 7B model is crashing, try using the 1.5B model instead.
- Increase the Pagefile size in Virtual Memory settings on Windows.
2. Model response is slow?
- Use an SSD instead of an HDD for better performance.
- Close unnecessary background applications.
- Optimize RAM usage.
3. Getting ‘command not found’ error in CMD?
- Check if Ollama is properly installed.
- Verify that Python and all required dependencies are correctly set up.
Conclusion
Running DeepSeek R1 locally offers significant advantages, including enhanced privacy, reduced latency, and cost savings by eliminating reliance on cloud services. By carefully following the installation and setup process, you can optimize the model’s performance, customize it to fit your needs, and seamlessly integrate it into your workflow. Whether for research, development, or real-world applications, running the model on your own system provides greater control, flexibility, and efficiency, ensuring a smooth AI experience tailored to your specific requirements.