Shanghai Academy of AI for Science releases 'Monkey King Bang', a multimodal model handling six scientific data types

上海科学智能研究院开放科学多模态基础模型"神珍"

The Shanghai Academy of AI for Science open-sourced 'Monkey King Bang' (MKB), a 11B-parameter multimodal model that handles DNA, RNA, proteins, small molecules, Earth systems, and medical imaging in one unified architecture. Built on a Qwen3-VL-8B backbone, it preserves each data type's native structure—sequences, molecular graphs, spatial fields—rather than flattening everything into one format. On 20 biological sequence tasks, MKB scored best on 9 and top-two on 17, beating the similarly sized Biology-Instructions on 16 tasks and splitting wins 10–10 with the trillion-parameter Intern-S1-Pro. It generates 10-day global weather forecasts matching or beating operational numerical weather prediction at day 10, and achieves a 91.20 average Dice score on medical image segmentation, best among 7 methods. Weights, inference code, and examples are available on the Xinghe Qizhi platform and Hugging Face.

Why it matters: An 11B-param model unifying six scientific data modalities with solid bio-sequence benchmarks. It's traditional-science + AI crossover, far from product/agent implications, but the concrete numbers and open release push it to the featured threshold.