# SMILES Pretraining

GP-MoLFormer is a chemical language model pretrained on 650 million to 1.1 billion molecular SMILES string representations from ZINC and PubChem, focusing on molecular generation tasks.

This model is a cheminformatics model pretrained on 10 million SMILES strings from the PubChem database, primarily used for molecular representation learning and chemical property prediction.