初始化项目，由ModelHub XC社区提供模型

Model: RoadQAQ/Qwen2.5-Math-7B-16k-think
Source: Original Platform

README.md

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+---
+license: mit
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+The base Qwen2.5-Math-7B model used by ReLIFT. 
+We change to rope_theta from 10000 to 40000 and extend the context window to 16k.
+Also, we modify the chat_template for the system prompt and add <think>.
+
+Github: https://github.com/TheRoadQaQ/ReLIFT
+
+# Citation
+If you find our model, data, or evaluation code useful, please kindly cite our paper:
+```bib
+@article{ma2025learning,
+  title={Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions},
+  author={Ma, Lu and Liang, Hao and Qiang, Meiyi and Tang, Lexiang and Ma, Xiaochen and Wong, Zhen Hao and Niu, Junbo and Shen, Chengyu and He, Runming and Cui, Bin and others},
+  journal={arXiv preprint arXiv:2506.07527},
+  year={2025}
+}
+```