Host Your Private Llama 3.1 8b with Ease: A Step-by-Step Guide to Using Docker

Shipping Llama 3.1 through docker

Hosting Private Llama Models with Docker: A Step-by-Step Guide

As a follow-up to my previous posts, “How to Run Meta Llama 3.1 405b Privately on Windows” and “How to Run Meta Llama 3.1 405b Privately on Mac”, I’m excited to share a new approach for hosting private llama models using Docker.

In this post, we’ll explore how to install Docker and the necessary dependencies, pull the OLLAMA image from Docker Hub, run the container with port mapping, and access your Private Llama 3.1 8B model through your browser.

Why Use Docker for Hosting Private Llama Models?

Using Docker provides several benefits when hosting private llama models:

• Portability: Your model is now portable across different systems, including Windows, Mac, and Linux.
• Efficient Resource Utilization: Containers share the same kernel as the host system, which reduces resource usage compared to traditional virtual machines.
• Easy Maintenance and Updates: You can easily update or switch between different versions of your model without affecting the underlying system.

Step 1: Install Docker