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ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
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foundation modelsefficiencymathematical reasoningagentic search
2609.13356
Builder Relevance
2h ago80%
Abstract
ZGCM-1 is a fully open 7B dense foundation model that achieves extreme efficiency through innovative training techniques and active external tool use.
Reality Card
Core Claim
ZGCM-1-7B demonstrates competitive performance in mathematical reasoning and agentic search tasks against much larger models while achieving a ~4.2x efficiency improvement in pre-training time-to-loss.
Method / Result
Achieved a ~4.2x efficiency improvement in 16K pre-training time-to-loss.
Limitations
The reproducibility of results may be limited by the complexity of the architecture and the specific training recipes used.
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