How to Deploy and Run DeepSeek r1 Locally

This is a quick tutorial on how to deploy DeepSeek on a local machine. I’m running this on Windows, but you can run it on MacOS or Linux

Download Ollama

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Ollama is an open-source project that serves as a powerful and user-friendly platform for running LLMs on your local machine.

Navigate to https://ollama.com

Download Ollama

Once downloaded, locate the executable and run through the install prompts to complete the installation.

Running DeepSeek r1

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From the Ollama webpage, navigate to Models and click on deepseek-r1

Since we do not have an expensive AI server, we will be using the 7 billion parameter version.

For more information on LLM sizes, you refer to this article

Copy the command from the website:

ollama run deepseek-r1

Open PowerShell and run the command:

Once the download is complete, the UI should look like this:

You will now issue your prompts from the CLI.

Configuring a UI for DeepSeek

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We will now use Docker to run our fancy LLM UI.

Download and install docker . Make sure to set up Docker Desktop.

Navigate to this page to openwebui page for the relevant docker command.

Follow the steps:

I ran the commands in PowerShell:

From your machine, open Windows Features and ensure to click the checkbox next to Virtual Machine Platform

You will then open Docker Desktop to verify that the interface is running:

From Docker, you can launch the UI or open a web browser and type in localhost:3000/auth

Congratulations, you are now running DeepSeek r1 locally. Feel free to shut off your NIC to test this out in offline mode.