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# MinPLM-QWen-500M
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[paper]() | [code](https://github.com/thu-coai/MiniPLM)
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**MiniPLM-QWen-500M** is a 500M model with QWen achitecture pre-trained from scratch on [the Pile](https://huggingface.co/datasets/monology/pile-uncopyrighted) using the MiniPLM knowledge distillation framework with the [offcial QWen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) as the teacher model.
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## Citation
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# MinPLM-QWen-500M
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[paper](https://arxiv.org/abs/2410.17215) | [code](https://github.com/thu-coai/MiniPLM)
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**MiniPLM-QWen-500M** is a 500M model with QWen achitecture pre-trained from scratch on [the Pile](https://huggingface.co/datasets/monology/pile-uncopyrighted) using the MiniPLM knowledge distillation framework with the [offcial QWen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) as the teacher model.
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## Citation
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```bibtex
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@article{miniplm,
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title={MiniPLM: Knowledge Distillation for Pre-Training Language Models},
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author={Yuxian Gu and Hao Zhou and Fandong Meng and Jie Zhou and Minlie Huang},
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journal={arXiv preprint arXiv:2410.17215},
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year={2024}
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}
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```
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