Xmodel-LM 技术报告

Xmodel-LM Technical Report

June 5, 2024

作者: Yichuan Wang, Yang Liu, Yu Yan, Xucheng Huang, Ling Jiang

cs.AI

摘要

我们介绍Xmodel-LM，这是一个紧凑高效的语言模型，预训练了超过2万亿个标记。在我们自建的数据集（Xdata）上进行训练，该数据集基于下游任务优化平衡了中文和英文语料库，Xmodel-LM表现出色，尽管体积较小。它显著超越了现有规模相似的开源语言模型。我们的模型检查点和代码可在GitHub上公开访问，网址为https://github.com/XiaoduoAILab/XmodelLM。

English

We introduce Xmodel-LM, a compact and efficient 1.1B language model pre-trained on over 2 trillion tokens. Trained on our self-built dataset (Xdata), which balances Chinese and English corpora based on downstream task optimization, Xmodel-LM exhibits remarkable performance despite its smaller size. It notably surpasses existing open-source language models of similar scale. Our model checkpoints and code are publicly accessible on GitHub at https://github.com/XiaoduoAILab/XmodelLM.