By expanding the input token context window to 700 characters and extending the prediction window to 1000 characters, STOUT V2.0 can now generate longer, more complex IUPAC names. This expansion is crucial for accurately naming larger molecular structures. Furthermore, we leveraged the latest TPU VMs to train the models, significantly reducing training time for these complex models with extensive datasets. These improvements in training hardware accelerate the development process and enable one to use more data and complex model architectures to train and test.