This repository catalogs scientific large language models across multiple domains and modalities, including language, graph, vision, table, molecule, protein, genome, and climate time series. It accompanies an EMNLP'24 survey paper and tracks 296 papers on models ranging from 100M to 100B parameters. The list is continuously updated and sorted chronologically, serving as a reference resource for researchers working at the intersection of AI and scientific discovery.