Abstract: In this article, the authors propose a novel token representation method for long traffic flows. The method leverages generative pre-training and linear attention mechanisms, which significantly enhances the capability of large models to process long traffic flows. For the first time, this breakthrough enables large language models to achieve comprehensive flow-level traffic generation that can be widely applied to diverse scenarios.