Code used to perform the experiments and Training Performance Estimation (TPE) reported in this paper is available via GitHub in the LitMatter repository . Neural force field model code is available here and Allegro model code is available here. The GPT-Neo model that ChemGPT is based on is available here. PubChem10M tokenizers using SELFIES versions 1.0.4 and 2.0.0 are available through the LitMatter repository and the Hugging Face Hub. Because of the significant computational resources required to train large models and the value of those models, pre-trained model checkpoints for ChemGPT are available via the Hugging Face Hub. Pre-trained model checkpoints for PaiNN and Allegro are available through Figshare.