English

Xmodel-LM Technical Report

Computation and Language 2024-11-20 v5 Artificial Intelligence

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.

Keywords

Cite

@article{arxiv.2406.02856,
  title  = {Xmodel-LM Technical Report},
  author = {Yichuan Wang and Yang Liu and Yu Yan and Qun Wang and Xucheng Huang and Ling Jiang},
  journal= {arXiv preprint arXiv:2406.02856},
  year   = {2024}
}
R2 v1 2026-06-28T16:53:50.144Z