We introduce Xmodel-1.5, a novel 1-billion-parameter multilingual large model pretrained on approximately 2 trillion tokens. The model demonstrates strong performance across several languages, with particularly notable results in Thai, Arabic, and French, alongside its effectiveness in Chinese and English. In addition, we contribute to the research community by releasing a Thai evaluation dataset, which includes hundreds of questions annotated by students from Chulalongkorn University's School of Integrated Innovation. While the results are promising, we acknowledge that there is still room for improvement. We hope this work advances ongoing efforts in multilingual AI research and promotes better cross-linguistic understanding in various natural language processing tasks. Our models and code are publicly available on GitHub at https://github.com/XiaoduoAILab/XmodelLM.

本文介绍了一种新的1亿参数的多语言大型模型Xmodel-1.5，该模型在约2万亿个标记上进行了预训练，能在多个语言中表现出色，尤其在泰语、阿拉伯语和法语方面成绩突出，并在中文和英文中亦表现有效。研究团队还发布了一个泰语评估数据集，希望这一工作能推动多语言人工智能研究的进展，并促进不同语言间的理解。

Xmodel-1.5：一种1亿参数的多语言大型模型