How to Run DeepSeek Locally on VS Code for Free (Complete Developer Guide)

 

100% data privacy? 

In this guide, we will walk you through the step-by-step process of setting up a local AI coding assistant without spending a single dollar.

Why Run AI Locally in VS Code?

- 100% Data Privacy: Your source code never leaves your local machine. No third-party servers are involved.

- Zero Cloud Cost: Say goodbye to expensive monthly subscriptions and API usage fees.

- Offline Capability: Keep coding seamlessly even without an active internet connection.

Step-by-Step Installation Guide

Step 1: Install Required Tools

To get started, make sure you have the following installed on your system:

1. Visual Studio Code (VS Code) latest version.

2. An open-source local model runner (such as Ollama) to host the DeepSeek model on your machine.

Step 2: Pull the DeepSeek Model

Open your terminal or command prompt and run the following command to download and run the DeepSeek model locally:

ollama run deepseek-coder

*Wait for the download to complete depending on your internet speed and system specs.*

Step 3: Integrate with VS Code

1. Open VS Code.

2. Go to the Extensions marketplace (Ctrl+Shift+X).

3. Search for a local AI extension (like Continue or CodeGPT) that supports local LLMs.

4. Configure the extension to point to your local endpoint (http://localhost:11434).

Once configured, you can start getting intelligent, offline code completions right inside your editor!

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