Xmodel-LM Technical Report
Yichuan Wang, Yang Liu, Yu Yan, Xucheng Huang, Ling Jiang
Xmodel-LM Technical Report: 9 upvotes on Hugging Face Daily Papers, #10 of 12 papers on 2024-06-06. Day-by-day upvote history.
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.
Paper page on Hugging Face · arXiv
Data: hysts-bot-data/daily-papers-stats and the Daily Papers API. Open data: tardellirs/paper-pulse-data. Sister project: Model Pulse, the download history of every model on the Hub.