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Xmodel-LM Technical Report

Authors :
Wang, Yichuan
Liu, Yang
Yan, Yu
Wang, Qun
Huang, Xucheng
Jiang, Ling
Publication Year :
2024

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2406.02856
Document Type :
Working Paper