How to Install DeepSeek AI on Your Local PC

If you’re looking to run DeepSeek AI locally on your computer, you’re in the right place! DeepSeek is one of the most powerful open-source AI models in 2025, offering advanced text generation, coding assistance, and research capabilities.

This step-by-step guide will walk you through installing DeepSeek on your Windows, macOS, or Linux machine. We’ll cover:

Let’s get started!

Step 1: Check System Requirements

Before installing DeepSeek, ensure your PC meets these minimum requirements:

💡 Note:

• If you don’t have a powerful GPU, you can still run smaller versions of DeepSeek on CPU (but it will be slower).
• For Mac users with Apple Silicon (M1/M2/M3), performance is good but may require extra optimizations.

Step 2: Install Python & Required Tools

DeepSeek runs on Python, so we need to set it up first.

📥 For Windows

1. Download Python 3.11+ from python.org.
2. Check “Add Python to PATH” during installation.
3. Open Command Prompt (Admin) and verify:

   python --version
   pip --version

📥 For macOS/Linux

1. Open Terminal and install Python:

   # macOS (if not installed)
   brew install python

   # Linux (Debian/Ubuntu)
   sudo apt update && sudo apt install python3 python3-pip

2. Verify installation:

   python3 --version
   pip3 --version

Step 3: Install DeepSeek AI Model

Option 1: Using Hugging Face (Recommended)

DeepSeek models are available on Hugging Face. Install transformers and download the model:

1. Install required libraries:

   pip install torch transformers accelerate

(Use pip3 on macOS/Linux if needed.)

2. Run Python and load DeepSeek:

   from transformers import AutoModelForCausalLM, AutoTokenizer

   model_name = "deepseek-ai/deepseek-llm-7b"  # Try "deepseek-coder" for coding tasks
   tokenizer = AutoTokenizer.from_pretrained(model_name)
   model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")

   print("DeepSeek is ready!")

Option 2: Using Ollama (Simpler for Beginners)

If you prefer a one-click install, use Ollama:

1. Download Ollama from ollama.ai.
2. Open Terminal and run:

   ollama pull deepseek/deepseek-llm
   ollama run deepseek/deepseek-llm

Now you can chat with DeepSeek directly in your terminal!

Step 4: Run DeepSeek with a Web Interface (Optional)

If you want a ChatGPT-like UI, use Text Generation WebUI:

1. Install it:

   git clone https://github.com/oobabooga/text-generation-webui
   cd text-generation-webui
   pip install -r requirements.txt

2. Download the DeepSeek model (e.g., deepseek-ai/deepseek-llm-7b).
3. Launch the WebUI:

   python server.py --model deepseek-ai_deepseek-llm-7b --auto-devices

Open http://localhost:7860 in your browser to use DeepSeek with a GUI!

Step 5: Testing DeepSeek

Let’s ask DeepSeek a question:

input_text = "Explain quantum computing in simple terms."
inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

🎉 You’re done! DeepSeek is now running locally on your PC.

Troubleshooting Tips

• Out of Memory? Try a smaller model like deepseek-ai/deepseek-llm-1b.
• Slow on CPU? Use GGML quantized models for better performance.
• Mac M1/M2 Issues? Install mlx for optimized Apple Silicon support.

What’s Next

Now that DeepSeek is installed, you can:
✔ Use it as a coding assistant (try deepseek-coder).
✔ Integrate it into your apps via API.
✔ Fine-tune it for custom tasks.

Final Thoughts

Running DeepSeek locally gives you full privacy, offline access, and customization. Whether you’re a developer, researcher, or AI enthusiast, this setup unlocks powerful AI capabilities on your own machine.

Need help? Drop a comment below! 🚀