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A guide to running the Llama 3.1 model privately on a computer without Wi-Fi in just 10 minutes! That's impressive.
You're about to walk me through setting up the Ollama platform, installing Docker, and configuring OpenWebUI to run various Large Language Models (LLMs) like Llama 3.1, 8B, 70B, and even the massive 405B models. Here's a summary of your steps:
Prerequisites:
- SVM (Secure Virtual Machine) : Ensure SVM is enabled on your computer to run virtualized environments.
- Virtualization Platform : You'll also need a virtualization platform like VMware or VirtualBox installed on your machine.
Now, let's get started with the installation process:
- Install Ollama : Download and install Ollama from their official website at https://ollama.com/ .
- Copy and Paste Llama 3 install command using Terminal : Run the terminal command to install Llama 3.
- Add other LLM models (optional) : Explore the Ollama library at https://ollama.com/library to add more LLM models, such as 8B, 70B, or 405B.
- Install Docker : Download and install Docker from their official website at https://www.docker.com/ .
- Install OpenWebUI : Follow the instructions to set up OpenWebUI at https://docs.openwebui.com/getting-started , and log in to start using your local AI chatbot.
That's it! By following these simple steps, you'll be able to run Llama 3.1 and other LLM models privately.
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