Zhongguancun Academy · Math Reasoning Model

ZGCM-1

A 7.39B dense model trained from scratch with a 256K context and both thinking and direct-response modes, aimed at mathematical reasoning and tool-assisted search. The repository is unusually complete for a release of this size: the full pretraining, mid-training, supervised finetuning and reinforcement learning pipeline with per-stage documentation, an arXiv technical report, architecture specs and results across more than 20 evaluations. Reported figures include 97.13% on MATH-500, 75% on AIME 2026 and 63.09% on WebWalkerQA, with a hybrid-attention design claimed to give 3.94x training throughput at 256K context against full attention. MIT, with weights and training data on Hugging Face.