返回文献探索AI 摘要
Paper · arXiv 2406.02856
Xmodel-LM Technical Report
Yichuan Wang, Yang Liu, Yu Yan, Xucheng Huang, Ling Jiang
9 upvotesJune 5, 2024arXiv 预印本
A compact Xmodel-LM language model, trained on a 2 trillion-token dataset, outperforms similar-sized open-source models.
Xmodel-LMlanguage modelpre-trained modelXdataself-built datasetChinese and English corpora
Abstract
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.