ChemFM is a large-scale foundation model, specifically designed for chemistry. It has been pre-trained on 178 million molecules from UniChem using self-supervised causal language modeling, enabling the extraction of versatile and generalizable molecular representations.

The code for using this model is provided in this GitHub repository.