txgemma-9b-predict

About Model

TxGemma is a collection of lightweight, state-of-the-art, open language models built upon Gemma 2, fine-tuned for therapeutic development. It comes in 3 sizes, 2B, 9B, and 27B.

TxGemma models are designed to process and understand information related to various therapeutic modalities and targets, including small molecules, proteins, nucleic acids, diseases, and cell lines. TxGemma excels at tasks such as property prediction, and can serve as a foundation for further fine-tuning or as an interactive, conversational agent for drug discovery. The model is fine-tuned from Gemma 2 using a diverse set of instruction-tuning datasets, curated from the Therapeutics Data Commons (TDC).

TxGemma is offered as both a prediction model that expects a narrow form of prompting and for the 9B and 27B version, conversational models that are more flexible and can be used in multi-turn interactions, including to explain its rationale behind a prediction. This conversational model comes at the expense of some raw prediction performance. See our manuscript for more information.