BAAI Releases Recon2Reason-Reasoning-4B, a Spatial Reasoning Vision-Language Model

BAAI released Recon2Reason-Reasoning-4B, a 4,437,815,808-parameter vision-language model fine-tuned from Qwen3-VL-4B-Instruct for indoor spatial reasoning.

The model handles metric distance, relative position, and object-relation questions from single or multiple images, and loads with the standard Qwen3VLForConditionalGeneration interface without trust_remote_code.

The checkpoint is released under Apache-2.0 with BF16 Safetensors weights, and the retrieval-augmented scene-reconstruction extension ships separately.