AI/ML

Deploy Mistral 7B in Docker with Ollama on Google Cloud - Step by Step Guide

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Pre-trained model

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Free Installation Guide - Step by Step Instructions Inside!

Overview

Mistral 7B is an advanced AI model designed for high performance text generation. Hosting it in a Docker container on a Google Cloud VM instance allows for a flexible and scalable setup.

Prerequisites

Ensure you have the following ready:

A Google Cloud VM instance (Ubuntu preferred) with Docker installed.
SSH access to the VM.

Step 1: Connect to Your Google Cloud VM

Use the following command to SSH into your VM instance:

gcloud compute ssh your-vm-instance-name --zone=your-zone

Once inside, update your packages:

sudo apt update && sudo apt upgrade -y

Step 2: Deploy the Ollama Container

Start an Ollama container with persistent storage:

docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama

Step 3: Enter the Running Container

Access the Ollama container shell with:

docker exec -it ollama /bin/bash

Step 4: Download Mistral 7B Model

Pull the Mistral 7B model inside the container:

ollama pull mistral:7b

Step 5: Run the Model

Start the model with the following command:

ollama run mistral:7b

Test it by entering a prompt:

>>> What is the capital of France?

Step 6: Set Up a Web UI for Easier Access

To interact with Mistral 7B via a browser, deploy Open WebUI:

docker run -d -p 3000:8080 -e OLLAMA_BASE_URL=http://<YOUR-VM-IP>:11434 -vopen-webui:/app/backend/data --name open-webui --restart alwaysghcr.io/open-webui/open-webui:main

Now, visit http://<YOUR-VM-IP>:3000 to use the model through an intuitive web interface.

Conclusion

Deploying Mistral 7B on Google Cloud using Docker and Ollama provides a scalable and efficient way to run AI models. This setup enables seamless interaction while maintaining an isolated and reproducible environment.

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