Xmodel-LM Technical Report

• URL: http://arxiv.org/abs/2406.02856v4
• Date: Wed, 26 Jun 2024 06:28:45 GMT
• Title: Xmodel-LM Technical Report
• Authors: Yichuan Wang, Yang Liu, Yu Yan, Qun Wang, Xucheng Huang, Ling Jiang,
• Abstract summary: Xmodel-LM is a compact and efficient 1.1B language model pre-trained on around 2 trillion tokens. It exhibits remarkable performance despite its smaller size.
• Score: 13.451816134545163
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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