MoLFormer-c3-1.1B

MoLFormer-c3-1.1B, as described in the Chemberta-3 paper [1] is pretrained on a combination of 100% ZINC20 (1B) and 100% Pubchem (100M)

Usage

from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("DeepChem/MoLFormer-c3-1.1B")
model = AutoModelForMaskedLM.from_pretrained("DeepChem/MoLFormer-c3-1.1B")

Reference

Singh R, Barsainyan AA, Irfan R, Amorin CJ, He S, Davis T, et al. ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models. RSC Digital Discovery 2026; doi:10.1039/D5DD00348B

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Safetensors

Model size

46.8M params

Tensor type

F32