Xmodel-LM Technical Report

Autor: Wang, Yichuan, Liu, Yang, Yan, Yu, Wang, Qun, Huang, Xucheng, Jiang, Ling
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv