𝗥𝘂𝗻 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 𝗟𝗼𝗰𝗮𝗹𝗹𝘆 𝗪𝗶𝘁𝗵 𝗢𝗹𝗹𝗮𝗺𝗮
You can run AI models on your own computer in 10 minutes. DeepSeek models make this easy.
Running models locally gives you:
- Full privacy. Your data stays on your machine.
- Zero cost. You pay no API fees.
- Offline access. You do not need internet.
- No limits. Run as many queries as you want.
Model requirements:
• 1.5B model: 4GB RAM • 7B model: 8GB RAM, 6GB GPU VRAM • 14B model: 16GB RAM, 10GB GPU VRAM • 33B model: 32GB RAM, 20GB GPU VRAM • 67B model: 64GB RAM, 40GB GPU VRAM
The 7B or 14B models work best for most laptops.
How to set it up:
- Install Ollama.
- macOS/Linux: curl -fsSL https://ollama.com/install.sh | sh
- Windows: Download from ollama.com
Pull the model. Run: ollama pull deepseek-r1:7b
Start the model. Run: ollama run deepseek-r1:7b
You can use the Continue extension in VS Code to connect to your local model. This creates a private coding assistant.
Ollama also provides a local API. This API works like the OpenAI format. You can point any tool to your local machine instead of the cloud.
Which model should you choose?
- DeepSeek R1: Use this for logic and debugging.
- DeepSeek V3: Use this for general chat and writing.
- DeepSeek Coder: Use this for programming tasks.
Tips for better performance:
- Use quantized models like q4 or q5 to save memory.
- Verify GPU acceleration is active.
- Monitor your hardware temperature when running large models.
Setup Checklist:
- Install Ollama.
- Pull your chosen DeepSeek model.
- Test it in your terminal.
- Connect it to VS Code.
Local AI is now accessible to every developer. It provides privacy and saves money.
Optional learning community: https://t.me/GyaanSetuAi