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.
Xmodel-LM Technical Report
A compact Xmodel-LM language model, trained on a 2 trillion-token dataset, outperforms similar-sized open-source models.
- Year
- 2024
- Venue
- arXiv 2024
- Authors
- 6
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2406.02856v5ARXIV-DEFAULT
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