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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# longcot_pt_GEMMA_ZD_10_23_1
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the
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## Model description
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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Please Please cite me if this dataset is helpful for you!🥰
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```
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@article{zhang2024llama,
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title={LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning},
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author={Zhang, Di and Wu, Jianbo and Lei, Jingdi and Che, Tong and Li, Jiatong and Xie, Tong and Huang, Xiaoshui and Zhang, Shufei and Pavone, Marco and Li, Yuqiang and others},
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journal={arXiv preprint arXiv:2410.02884},
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year={2024}
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}
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@article{zhang2024accessing,
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title={Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B},
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author={Zhang, Di and Li, Jiatong and Huang, Xiaoshui and Zhou, Dongzhan and Li, Yuqiang and Ouyang, Wanli},
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journal={arXiv preprint arXiv:2406.07394},
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year={2024}
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}
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```
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# longcot_pt_GEMMA_ZD_10_23_1
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the [OpenLongCoT](https://huggingface.co/datasets/qq8933/OpenLongCoT-Pretrain) dataset.
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This model can read and output o1-like LongCoT which targeting work with LLaMA-O1 runtime frameworks.
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## Model description
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