x.comthreadAvery (@Avery186609) on X
A tweet reports NVIDIA's release of an open-source 3B-parameter vision-language model specialized for real-time visual grounding, using parallel box decoding and trained on 138M queries with 785M bounding boxes. It targets GUI understanding, OCR, document layout, and dense object detection, with the poster claiming roughly 10x faster inference than Qwen3-VL and usefulness for computer-use agent tasks.
TL;DR NVIDIA open-sources a 3B VLM for fast real-time visual/GUI grounding, claimed 10x faster than Qwen3-VL.
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