kan-gpt is a PyTorch-based implementation of Generative Pre-trained Transformers (GPTs) that employs Kolmogorov-Arnold Networks (KANs) for language modeling. The model demonstrates potential in text generation tasks, particularly in handling long-range dependencies. Its significance lies in providing a new model architecture for the field of natural language processing, which can enhance the performance of language models.