mindlab-research/MJev-Spatial-4B

AI model by mindlab-research

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[](LICENSE) [](https://huggingface.co/mindlab-research/MJev-Spatial-4B) [](https://arxiv.org/abs/2610.22276) English · 简体中文 MJev-Spatial is a multimodal decision model for spatial understanding. It turns a spatial question into a finite candidate-selection problem, so the model can make a decision directly instead of generating an answer string and parsing it afterward. The model is built on Qwen3.5-4B and reuses the backbone's pretrained query and key projections to score candidates. The released readout does not add a separate prediction head. Each decision is completed in one forward pass and produces no answer tokens. The current model checkpoint is available at mindlab-research/MJev-Spatial-4B. The paper is MJev-Spatial: System One Spatial Intelligence via Native Attention Matching. MJev-Spatial uses one candidate-scoring interface for three output types: The candidate set is part of the task contract. The model scores only legal candidates for the current stage, masks padded candidates, and returns the selected candidate together with its scores and decision path. For a decision…

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mindlab-research/MJev-Spatial-4B is a task-unspecified model repository published by mindlab-research on Hugging Face. A library was not reported.

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Created: 2026-10-16T06:36:31.000Z
Last modified: 2026-10-16T06:42:02.000Z

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