  With the advancements in large language model technology, it has showcased
capabilities that come close to those of human beings across various tasks.
This achievement has garnered significant interest from companies and
scientific research institutions, leading to substantial investments in the
research and development of these models. While numerous large models have
emerged during this period, the majority of them have been trained primarily on
English data. Although they exhibit decent performance in other languages, such
as Chinese, their potential remains limited due to factors like vocabulary
design and training corpus. Consequently, their ability to fully express their
capabilities in Chinese falls short. To address this issue, we introduce the
model named JIANG (Chinese pinyin of ginger) specifically designed for the
Chinese language. We have gathered a substantial amount of Chinese corpus to
train the model and have also optimized its structure. The extensive
experimental results demonstrate the excellent performance of our model.
