TSMMG , a novel teacher-student model that takes advantage of previously available models, by using their molecule-text/properties information as a teaching input to the student model, building its ability to generate custom novel molecules based on the entered prompt. TSMMG is of a quite simple transformer-based decoder architecture. Moreover, in zero-shot testing it led to generating molecules with novel augmentation of properties. This model overcame many important problems, such as data scarcity and low quality.