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arXiv · 2406.02856

Xmodel-LM Technical Report

Yichuan Wang·Yang Liu·Yu Yan·Qun Wang·Xucheng Huang·Ling Jiang
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Abstract

We introduce Xmodel-LM, a compact and efficient 1.1B language model pre-trained on around 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.

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Yichuan Wang, Yang Liu, Yu Yan, Qun Wang, Xucheng Huang, Ling Jiang. 2024-06-05. Xmodel-LM Technical Report. https://arxiv.org/abs/2406.02856

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