Xmodel-LM Technical Report
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.
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Yichuan Wang
6661232202a5e5f4374e5493
Yang Liu
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Yu Yan
6661232202a5e5f4374e5495
Xucheng Huang
admin_assigned
2024-06-06T10:18:29.757Z
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/avatars/e5bbc245cef4ff5ca3f9e1ab28bb8b87.svg
Xucheng Huang
user
hxc123china
6661232202a5e5f4374e5496
Ling Jiang
Xmodel-LM Technical Report
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.
A compact Xmodel-LM language model, trained on a 2 trillion-token dataset, outperforms similar-sized open-source models.
Xmodel-LM language model pre-trained model Xdata self-built dataset Chinese and English corpora