With the introduction of ChatGPT (OpenAI, 2022) from OpenAI, the power of these models to generate human-like text has captured widespread public attention. The scale of language models has burgeoned, progressing from modest multi-million-parameter architectures like ELMo (Peters et al., 2018) and GPT-1 (Radford et al., 2018), to behemoths boasting billions, even trillions of parameters, exemplified by the monumental GPT-3 (Brown et al., 2020), Switch Transformers (Fedus et al., 2022) , GPT-4 (OpenAI, 2023), PaLM-2 (Anil et al., 2023), and Claude (Claude, 2023) and Vicuna (Chiang et al., 2023). The expansion in scale has significantly raised hardware requirements, making it exceedingly challenging to deploy models on mobile devices such as smartphones and tablets.To deploy on cars , we trained a 7-billion-parameter automobile model, which outperformsGPT-3.5 in the automotive domain. Surpassing all models in areas such as automotive.