- Learn the essential technical requirements to run Qwen AI on your PC.
- Follow the detailed steps to install Ollama and Docker efficiently.
- Learn how to set up a user-friendly graphical interface to manage AI locally.
Artificial intelligence has become an indispensable tool in today's technological field. Qwen AI, developed by Alibaba Group, stands out as one of the most innovative and powerful alternatives. Although many AI solutions require a permanent internet connection, Qwen AI can be run locally on a Windows 11 computer, increasing user control and privacy.
And using Qwen AI locally not only improves continuous access to this tool, but also Eliminates the need to expose sensitive data to cloud services. This approach is ideal for programmers, researchers, and power users looking for more flexibility in their day-to-day work. Below we will break down All you need to know to install and start using Qwen AI efficiently.
Requirements to install Qwen AI locally on our computer
Before you start, you need verify that your computer meets the requirements to run Qwen AI.
- To small models: In models such as those with less than 4 billion of parameters, a computer with at least 16 GB of RAM and without a powerful GPU it may be enough.
- To more advanced models: For higher capacity models, such as those with 20 billion or more parameters, a high-performance computer with multiple graphics cards will be required. RTX and a memory superior to the 64 GB of RAM.
The Hardware resources also depend on the specific model you want to install.. Lighter models like Qwen2.5-0.5b are ideal for basic tasks, while more advanced versions such as Qwen2.5-7b require more robust configurations. It is important to evaluate your equipment before deciding which model to install.
Installing the necessary tools
To run Qwen AI locally, You will need to install two key tools: Ollama y Docker. Below we detail the process:
- Ollama: This free and open source tool allows you to run language models directly on your computer. You can download it from your official website, choose the version compatible with Windows and follow the installer instructions.
- Docker: Docker allows you to create containers to run applications efficiently. Download it from your official page, create an account and follow the installation steps on your system.
How to install a Qwen AI model
With Ollama and Docker configured, The next step is to install a Qwen AI model. From the official Ollama website, access the models section and select the model you want to useFor example, if you decide to install Qwen2.5 with the 0.5b parameter, use the corresponding command listed on the website.
Open the Command Terminal (CMD) on your computer, paste the command and press Enter. The process may take several minutes, depending on the size of the model and the speed of your connection. Once completed, you will be able to launch queries directly from the Terminal with the specific execution command.
Setting up a graphical interface
For those who prefer a more visual experience, it is possible to install a web interface using Docker. Run the following command in CMD To create a container in Docker:
docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
This container will open a user interface in your browser, accessible in the 3000 portHere you can manage your AI models, start conversations, and save chat histories.
Additional compatible models
In addition to Qwen AI, Ollama and Docker allow the installation of other models such as Calls, Mistral y DeepSeekEach has its own features and benefits, so you can explore new options depending on your specific needs.
Running additional models expands the capabilities of your system, allowing you to perform more complex analysis and advanced tasks without relying on external services.
Running Qwen AI locally offers a powerful solution for those looking to take full advantage of artificial intelligence without relying on the internet or external servers. This process not only ensures greater privacy, but also allows you to customize the use of the models according to the specific needs of each user.
Although it requires some technical knowledge, The results are worth it for those who want to take advantage of this revolutionary technology.
I am a technology enthusiast who has turned his "geek" interests into a profession. I have spent more than 10 years of my life using cutting-edge technology and tinkering with all kinds of programs out of pure curiosity. Now I have specialized in computer technology and video games. This is because for more than 5 years I have been writing for various websites on technology and video games, creating articles that seek to give you the information you need in a language that is understandable to everyone.
If you have any questions, my knowledge ranges from everything related to the Windows operating system as well as Android for mobile phones. And my commitment is to you, I am always willing to spend a few minutes and help you resolve any questions you may have in this internet world.