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@@ -45,4 +45,26 @@ generated_ids = [
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  response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  ]
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  response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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+ ```
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+
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+ ## Reference
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+
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+ For more detailed information about the model, we encourage you to refer to our paper:
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+
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+ - **DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models**
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+ Chengyu Wang, Junbing Yan, Yuanhao Yue, Jun Huang
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+ [arXiv:2504.15027](https://arxiv.org/abs/2504.15027)
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+ You can cite the paper using the following citation format:
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+
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+ ```bibtex
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+ @misc{wang2025distilqwen25industrialpracticestraining,
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+ title={DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models},
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+ author={Chengyu Wang and Junbing Yan and Yuanhao Yue and Jun Huang},
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+ year={2025},
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+ eprint={2504.15027},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2504.15027}
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+ }
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  ```