AI/ML
Deploy StarCoder2 in Docker with Ollama on a Local Server - Step by Step Guide
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Free Installation Guide - Step by Step Instructions Inside!
Overview
StarCoder2 is a powerful AI model designed for code generation and completion. Running it inside a Docker container using Ollama ensures ease of deployment, isolation, and flexibility.
Why Use Docker with Ollama for StarCoder2?
- Portability: Run StarCoder2 on any system with Docker installed.
- Isolation: Avoid conflicts with local dependencies.
- Efficiency: Optimize execution with pre configured environments.
Setting Up StarCoder2 in Docker
Step 1: Launch the Ollama Container
To begin, start an Ollama container with persistent storage and an exposed API:
docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollamaStep 2: Access the Ollama Container
Once the container is running, access its shell environment:
docker exec -it ollama /bin/bashStep 3: Pull the StarCoder2 Model
Inside the container, download StarCoder2 using Ollama’s model hub:
ollama pull starcoder2This ensures all required dependencies are fetched.
Step 4: Run StarCoder2
To start the model and interact with it, execute:
ollama run starcoder2Try out a simple query to validate its functionality:
>>> def fibonacci(n):Step 5: Deploy a Web UI for Easy Interaction
To enable a browser-based interface for StarCoder2, deploy Open WebUI:
docker run -d -p 3030:8080 -eOLLAMA_BASE_URL=http://<YOUR-IP>:11434 -vopen-webui:/app/backend/data --name open-webui --restart alwaysghcr.io/open-webui/open-webui:main
Now, open http://<YOUR-IP>:3030 in a browser to interact with the model through an easy-to-use web interface.
Conclusion
Deploying StarCoder2 in Docker with Ollama is a straightforward process that ensures ease of use and scalability. You can now generate and complete code snippets efficiently while maintaining a clean development environment.
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AI/ML