ZGCM-1: A New Open Math & Search Foundation Model
In this work, researchers have unveiled ZGCM-1, a groundbreaking 7B dense foundation model designed for mathematical reasoning and agentic search. This model is the culmination of an innovative training approach that integrates deliberate internal thinking with active external tool use to overcome parametric capacity limits. The team developed an end-to-end, high-efficiency open training recipe,…
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Key points
- ZGCM-1 is a 7B dense foundation model
- It uses an end-to-end, high-efficiency open training recipe
- It demonstrates competitive performance across mathematical reasoning and agentic search suites
Read the original at arXiv cs.AI · by Jiyan He, Guang Liang, Hao Liu, Haoxiang Guan, Jinbo Sun, Junyi Guo, Wenjun Feng, Yantai Xie, Yifei Shen, Bin Shao, Chuyang Wei, Kai Chen, Kexin Zhou, Minghang Zhu, Shuxin Zheng, Tie-Yan Liu, Taine Zhao, Wenhui Zhu, Xueyin Xu, Xiaoqing Zhang, Yatao Li, Yuxuan Ren primary source Open source ↗
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ZGCM-1
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