VanillaKD-Pretrain-Qwen-500M
VanillaKD-Pretrain-Qwen-500M is a 500M model with Qwen achitecture pre-trained with vanilla token-level knowledge distillation on the Pile for 50B tokens. The teacher model is Qwen1.5-1.8B.
We also open-source the tokenized pre-training corpus for reproducibility.
It is used as the baseline for MiniLLM-Qwen-500M
Evaluation
MiniPLM models achieves better performance given the same computation and scales well across model sizes:
Other Baselines
Citation
@article{miniplm,
title={MiniPLM: Knowledge Distillation for Pre-Training Language Models},
author={Yuxian Gu and Hao Zhou and Fandong Meng and Jie Zhou and Minlie Huang},
journal={arXiv preprint arXiv:2410.17215},
year={2024}
}
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