Free Setup Guide

Run DeepSeek Locally: A Practical Setup Guide

DeepSeek has become one of the most capable open-weight models available — and you can run it entirely on your own hardware, no API keys or cloud bills required.

Adam BurgeAdam BurgeNano Flow

This guide walks you through pulling DeepSeek locally, connecting it to your workflows, and keeping your data off third-party servers. Whether you are automating tasks with n8n or just want a private AI assistant, this setup gives you full control.

Step 1: Install Ollama on Your Machine

Download and install Ollama for your operating system (macOS, Linux, or Windows). Ollama acts as the local runtime that downloads and serves open-weight models through a simple API.

bash
# macOS / Linux one-liner
curl -fsSL https://ollama.com/install.sh | sh

Once installed, confirm it is running:

bash
ollama --version

Step 2: Pull the DeepSeek Model

Choose the model size that fits your hardware. A good starting point for most machines with 8 GB+ VRAM or 16 GB+ RAM is the 7B variant.

bash
ollama pull deepseek-r1:7b

Ollama streams the download and automatically quantizes for your hardware. Wait until the pull completes before moving on.

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