Run Large Language Models Locally for FREE in 2025
Table of Contents
Introduction
In this tutorial, you'll learn how to run large language models (LLMs) locally on your PC for free in 2025, avoiding cloud services and keeping your data private. Using tools like Ollama and OpenWebUI, you can easily interact with these models just like you would with ChatGPT. Follow these steps to set everything up on your computer.
Step 1: Install Ollama
- Go to the Ollama website.
- Download the Ollama installer for your operating system.
- Run the installer and follow the on-screen instructions to complete the installation.
Tip: Make sure to check for any prerequisites mentioned on the Ollama website before installation.
Step 2: Install Llama 3.2
- Visit the Llama 3.2 download page.
- Download the model files.
- Follow any specific instructions provided to install Llama 3.2.
Common Pitfall: Ensure you have enough disk space to accommodate the model files.
Step 3: Install Docker Desktop
- Navigate to the Docker website.
- Download Docker Desktop for your operating system.
- Install Docker by following the provided instructions.
Tip: If prompted, allow Docker to install any necessary dependencies.
Step 4: Install OpenWebUI
- Go to the OpenWebUI GitHub page.
- Download the latest release of OpenWebUI.
- Follow the installation instructions in the repository.
Tip: Familiarize yourself with the OpenWebUI documentation to make the most of its features.
Step 5: Configure Docker and OpenWebUI
- Open Docker Desktop.
- Go to settings and ensure Docker is set to start automatically with your computer.
- Launch OpenWebUI and configure it to run at startup.
Real-world Application: This setup allows you to interact with LLMs without relying on external servers, enhancing both privacy and speed.
Conclusion
By completing these steps, you now have a local environment set up to run large language models using Ollama, Llama 3.2, Docker, and OpenWebUI. You'll be able to interact with these models in a user-friendly interface, similar to popular chatbots. For further exploration, consider testing different models available on Ollama and experimenting with the OpenWebUI features. Enjoy the freedom of running LLMs locally!