Shipping a Local LLM API with FastAPI and Ollama

In a recent phase of the de-swarm project, the author managed to convert a hefty 3 billion parameter text-to-SQL model into a production-ready API using FastAPI and Ollama, all for free. This impressive feat involved distilling a massive 120 billion parameter pipeline down to a more manageable size while maintaining impressive accuracy. The API is now accessible and can be deployed locally, showcasing a cost-effective way to leverage advanced machine learning models without the hefty price tag or infrastructure costs. This development highlights the potential of smaller, fine-tuned models for practical applications.