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Open-source ZGCM-1 model achieves high efficiency in math and agentic search

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced ZGCM-1, a 7B parameter foundation model designed for mathematical reasoning and agentic search. The model leverages an efficient training recipe that combines architectural innovations like interleaved attention with a stable FP8 Muon optimizer and progressive curriculum learning. ZGCM-1 demonstrates competitive performance against much larger frontier models on specific tasks and offers significant efficiency improvements in training time. AI

IMPACT This open-source model release could accelerate research in efficient LLM training and agentic systems, potentially lowering the barrier for developing advanced AI capabilities.

RANK_REASON The cluster describes a new foundation model released with its weights, training code, and data, fitting the research category for OSS model releases.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Open-source ZGCM-1 model achieves high efficiency in math and agentic search

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The cluster describes a new foundation model released with its weights, training code, and data, fitting the research category for OSS model releases.
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model release, product
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · 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, Y… ·

    ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

    arXiv:2609.13356v1 Announce Type: new Abstract: In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM-1 is founded on a core premise: compact models cannot passively memorize the op…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

    ZGCM-1 is a 7B open foundation model that combines internal reasoning with external tool use, trained via efficient architecture-system co-design, progressive long-context scaling, and autonomous agent workflows to achieve strong reasoning and efficiency.

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