How to install and use DeepSeek on your computer: Complete guide

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If you are looking for how to install DeepSeek on your computer, you've come to the right place. This guide will take you step by step to configure this powerful Artificial Intelligence on your system, whether you use Windows, MacOS o GNU / Linux. The best thing of all is that you can run it locally, which guarantees privacy or with a continuous access, even without connection to Internet.

DeepSeek is an open-source artificial intelligence tool that stands out for its deep reasoning capabilities. This feature makes it ideal for solving complex problems such as advanced logic, mathematics, or even programming tasks. Want to avoid high costs and keep your data secure? Here's how.

What do you need to start?

Before you start, it's important to prepare your computer with some basic requirements. Here are some things you need to consider depending on the operating system you use:

• Windows: You just need access to the command prompt and a simple program like Don't.
• macOS: Make sure you familiarize yourself with the terminal and download Don't to manage AI.
• Linux: Use the terminal to configure and install tools like Docker if you want a graphical interface.

Ollama's role in the installation

Ollama is the primary intermediary for running DeepSeek on your computer. It acts as a platform for downloading and managing AI models locally. Why is this important? Essentially, it simplifies the process and ensures the model works seamlessly in your environment.

To install Ollama , visit its official website ( ollama.com ) and download the program compatible with your operating system. The installer will guide you through the process, which simply involves accepting the terms and conditions and clicking "Install."

DeepSeek Installation Step by Step

Once Ollama is installed, it's time to configure DeepSeek . The process varies slightly depending on your computer's resources, but here are the general steps:

• Open Terminal or Command Prompt. In Windows, search for “cmd” in the start menu. In MacOS y GNU / Linux, access directly from the respective applications or search engines.
• Run the command to install DeepSeek depending on the version you prefer. For example:
  • ollama pull deepseek-r1:1.5b for the lighter version.
  • ollama pull deepseek-r1 for a more complete model, but one that requires greater capacity.
  • ollama pull deepseek-r1:70b for advanced tasks, if you have high-end hardware resources.
• Once downloaded, launch the program by typing ollama run deepseek-r1.

Using DeepSeek in your language

DeepSeek has a very interesting advantage: it can respond in Spanish if you configure it that way from the start. Make sure to use Spanish for your initial queries or prompts so that the AI ​​continues using it. If it ever responds in English , add "Respond in Spanish" to the command, and it will adjust its behavior.

The model will process all your queries from the terminal , even showing the reasoning stages before arriving at a final answer. This transparency is one of DeepSeek 's most fascinating features.

Advanced Options: Docker and GUI

If you prefer working with a visual interface instead of the console, you can configure a user-friendly UI using Docker . This step is optional and is intended for those with intermediate knowledge of containers and local networks.

1. Download and install Docker from its official website (docker.com).
2. Open the command line and run the following code to download a compatible graphical interface:

   docker run -d -p 8080:8080 \ 
       -v open-webui:/app/backend/data \ 
       -e OLLAMA_BASE_URL=http://127.0.0.1:11434 \ 
       --name open-webui \ 
       ghcr.io/open-webui/open-webui:main

3. Access the interface in your browser by entering http://localhost:8080.
4. Choose the model of DeepSeek that you prefer and start using it visually.

Integration with projects

DeepSeek isn't just useful as an assistant in your terminal . You can also integrate it into development projects , either locally or via the cloud using APIs.

For local use, you can set up an endpoint that works with popular libraries like OpenAI in Python . With a simple adaptation, your programs will be able to make requests directly to the model running on your machine.

If you need a larger scope, DeepSeek also offers an official API that you can use for large-scale projects. The API is similar to OpenAI 's , making it very versatile.

DeepSeek is an outstanding tool for those seeking powerful and customizable artificial intelligence . Its ability to run locally saves you high costs and keeps you in control of your data. Whether you choose to use it from the console, through a graphical interface, or integrate it into your projects, you'll have a flexible and cost-effective solution for advanced reasoning tasks.