Cost Efficiency (Open Source)
Lower Long Term costs
Customised data control
Pre trained model
Get Your LLaMA 3.3 AI Model Running in a Day
LLaMA 3.3 is a cutting edge AI model designed for text generation. Deploying it in a Docker container on an AWS EC2 instance ensures scalability, portability and ease of maintenance.
Before starting, ensure you have:
To begin, connect to your EC2 instance using SSH:
ssh -i your-key.pem ubuntu@your-ec2-public-ip
Once logged in, update the system:
sudo apt update && sudo apt upgrade -y
Deploy the Ollama container with persistent storage:
docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
Access the running container using:
docker exec -it ollama /bin/bash
Inside the container, download the LLaMA 3.3 model:
ollama pull llama3.3
To start generating text, execute:
ollama run llama3.3
Test it with an example query:
>>> Explain quantum computing in simple terms.
For an intuitive interface, deploy Open WebUI:
docker run -d -p 3000:8080 -e
OLLAMA_BASE_URL=http://<YOUR-IP>:11434 -v
open-webui:/app/backend/data --name open-webui --restart always
ghcr.io/open-webui/open-webui:main
Now, open http://<YOUR-IP>:3000 in your browser to interact with LLaMA 3.3.
With Docker and Ollama, running LLaMA 3.3 on an AWS EC2 instance is simple and efficient. This setup ensures scalability and flexibility for AI-driven text generation.
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