AI/ML
Falcon 180B Deployment on AWS EC2: A Complete Guide with Docker & Ollama
Overview
Falcon 180B is a state of the-art AI model known for its superior text generation capabilities. Hosting it in a Docker container on an AWS EC2 instance ensures a reliable and scalable deployment.
Preparing Your EC2 Instance
Connect to Your EC2 Server
Before setting up Falcon 180B, establish a connection to your Amazon EC2 instance:
ssh -i "your-key.pem" ubuntu@your-ec2-ip
Once inside, update the system to ensure you have the latest packages:
sudo apt update && sudo apt upgrade -y
If Docker isn’t installed, set it up with:
sudo apt install docker.io -ysudo systemctl start dockersudo systemctl enable dockerDeploying Ollama and Falcon 180B
Launch the Ollama Container
Deploy the Ollama runtime within a container to handle Falcon 180B:
docker run -d --name ollama -p 11434:11434 -vollama:/root/.ollama ollama/ollama
Install the Falcon 180B Model
Now, access the container and download Falcon 180B:
docker exec -it ollama /bin/bash
ollama pull falcon:180b
This process fetches all necessary dependencies.
Running Falcon 180B
Start the Model
Once the installation is complete, run the model:
ollama run falcon:180b
Try it out by entering a sample query:
>>> Summarize the latest advancements in AI. Web Interface for Falcon 180B
For a more interactive experience, deploy a web UI:
docker run -d --name web-ui -p 3100:8080 -eLLAMA_BASE_URL=http://<YOUR-EC2-IP>:11434 -vopen-webui:/app/backend/data --restart alwaysghcr.io/open-webui/open-webui:main Now, access http://<YOUR-EC2-IP>:3100 in your browser to interact visually.
Final Thoughts
Running Falcon 180B on AWS EC2 using Docker and Ollama provides a powerful, scalable and efficient AI deployment setup. Whether accessed via command line or web UI, this method ensures seamless operation with minimal setup efforts.
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AI/ML