AI/ML
Deploy Mistral 7B in Docker with Ollama on Google Cloud - Step by Step Guide
Mistral Model for your Business?
Cost Efficiency (Open Source)
Lower Long Term costs
Customised data control
Pre-trained model
Get Your Mistral AI Model Running in a Day
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-zoneOnce inside, update your packages:
sudo apt update && sudo apt upgrade -yStep 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/ollamaStep 3: Enter the Running Container
Access the Ollama container shell with:
docker exec -it ollama /bin/bashStep 4: Download Mistral 7B Model
Pull the Mistral 7B model inside the container:
ollama pull mistral:7bStep 5: Run the Model
Start the model with the following command:
ollama run mistral:7bTest 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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AI/ML