1. Orion-14B: Open-source Multilingual Large Language Models
- Author
-
Chen, Du, Huang, Yi, Li, Xiaopu, Li, Yongqiang, Liu, Yongqiang, Pan, Haihui, Xu, Leichao, Zhang, Dacheng, Zhang, Zhipeng, and Han, Kun
- Subjects
Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
In this study, we introduce Orion-14B, a collection of multilingual large language models with 14 billion parameters. We utilize a data scheduling approach to train a foundational model on a diverse corpus of 2.5 trillion tokens, sourced from texts in English, Chinese, Japanese, Korean, and other languages. Additionally, we fine-tuned a series of models tailored for conversational applications and other specific use cases. Our evaluation results demonstrate that Orion-14B achieves state-of-the-art performance across a broad spectrum of tasks. We make the Orion-14B model family and its associated code publicly accessible https://github.com/OrionStarAI/Orion, aiming to inspire future research and practical applications in the field., Comment: Authors are alphabetically listed by last names, except the corresponding author who is listed last
- Published
- 2024