In the realm of data analysis and manipulation, SQL (Structured Query Language) stands as a cornerstone for interacting with relational databases. However, crafting SQL queries can sometimes be daunting, especially for those less familiar with the language. Enter SQLCoder2-7B, a cutting-edge model that leverages the power of natural language processing (NLP) to generate SQL queries from plain text. In this guide, we’ll explore how to utilize SQLCoder2-7B with the Yelp dataset, diving into the implementation details using llama_cpp and a compatible gguf model from Hugging Face.