---
title: SpatialCLI-8B
emoji: 🧭
colorFrom: pink
colorTo: blue
sdk: gradio
sdk_version: 6.21.0
app_file: app.py
short_description: Spatial-reasoning VLM (image+text -> text answer)
python_version: "3.12"
startup_duration_timeout: 1h
---

# SpatialCLI-8B Demo

A Gradio demo for [SpatialCLI-8B](https://huggingface.co/ZYT-MFM/SpatialCLI-8B), a spatial-reasoning vision-language model fine-tuned from Qwen3-VL-8B-Instruct via the Call-Learn-Internalize framework described in [SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them](https://huggingface.co/papers/2607.27703).

The model internalizes specialist spatial-tool capabilities (localization, segmentation, depth, pose) so it can perform tool-free spatial reasoning directly from an image and a question.

## Usage

Upload an image and ask a spatial-reasoning question — e.g. "Which object is closer to the camera?", "Describe the depth ordering of the objects", "Where is the red chair located in the image?".

## Note on weights

`ZYT-MFM/SpatialCLI-8B` weights are being uploaded by the authors. This Space loads them when available and otherwise falls back to the documented base model `Qwen/Qwen3-VL-8B-Instruct`, so the demo continues to function.