Our contribution, Text2Struc, is a fine-tuned text-to-code LLM that works with four distinct types of text descriptions and four crystal transformations and parses and executes them into valid crystal structure CIFs. The approach encompasses three key elements: the generation of the dataset, the methodology for LLM fine-tuning, and the model evaluation (see Figure ).