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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- databricks/databricks-dolly-15k
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language:
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- en
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metrics:
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- rouge
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base_model:
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- openai-community/gpt2-large
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pipeline_tag: text-generation
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---
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# SeqKD-gpt2-760M
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[paper](https://arxiv.org/abs/2306.08543) | [code](https://github.com/microsoft/LMOps/tree/main/minillm)
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**SeqKD-gpt2-760M** is a gpt2-large (760M) model distilled from [gpt2-xlarge (1.5B)](https://huggingface.co/MiniLLM/teacher-gpt2-1.5B) on [databricks-dolly-15k](https://huggingface.co/datasets/aisquared/databricks-dolly-15k) with sequence-level forward KLD.
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## Other Baselines
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+ [SFT w/o KD](https://huggingface.co/MiniLLM/SFT-gpt2-760M)
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+ [KD](https://huggingface.co/MiniLLM/KD-gpt2-760M)
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## Citation
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```
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@inproceedings{minillm,
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title={MiniLLM: Knowledge Distillation of Large Language Models},
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author={Gu, Yuxian and Dong, Li and Wei, Furu and Huang, Minlie},
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booktitle={Proceedings of ICLR},
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year={2024}
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}
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```
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