Xmodel-LM Technical Report
<|reference_start|>Xmodel-LM Technical Report: 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.<|reference_end|>
@article{wang2024xmodel-lm,
    title={Xmodel-LM Technical Report},
    author={Yichuan Wang, Yang Liu, Yu Yan, Qun Wang, Xucheng Huang, Ling Jiang},
    journal={arXiv preprint arXiv:2406.02856},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.02856},
    primaryClass={cs.CL cs.AI}
}