AI Research
ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
Advancing agentic intelligence through extreme data efficiency and open-source accessibility.
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 open web, but can overcome parametric capacity lim...
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ArXiv CS.AI
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ArXiv CS.AI
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ZGCM-1 demonstrates that high-performance agentic capabilities can be achieved through extreme data efficiency rather than massive parameter counts. This marks a significant shift toward accessible, sustainable foundation models that prioritize specialized reasoning over sheer scale.
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