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 this https URL,
aiming to inspire future research and practical applications in the field.

我们介绍了 Orion-14B，这是一个包含 140 亿参数的多语言大型语言模型集合。我们利用数据调度方法在来自英语、中文、日语、韩语和其他语言的多样文本语料库中训练了一个基础模型。此外，我们还对应用于对话和其他特定用例的一系列模型进行了精细调整。我们的评估结果表明，Orion-14B 在广泛的任务中实现了最先进的性能。我们通过公开访问的链接提供了 Orion-14B 模型系列及其相关代码，旨在激发未来在该领域的研究和实际应用。