Ant’s Robbyant open-sourced its LingBot-Vision family under Apache-2.0; the Meta DINOv3 models it benchmarks against ship under a custom license

Robbyant, an embodied AI company under Ant Group, put four vision backbones on Hugging Face under Apache-2. The company describes its goal as building one brain for all robots.0, from 21M to 1.1B params. I went looking for the Depth 2.0 weights and they are not up; only these four backbones are open. The full comparison table including where it loses is the screenshot above, and you can see it trailing on KITTI there. Per the paper, the flagship scores 0.296 on NYUv2 depth versus DINOv3-7B at 0.309. The distilled ViT-L comes in at 0.310 at roughly 23x fewer parameters. ImageNet linear probe is 86.32 (self-reported, no independent runs yet), which sits behind DINOv3-7B's 87.87. Loading requires their custom lbot_vision_infer library, not plain transformers or timm.

Links: HF collection https://huggingface.co/collections/robbyant/lingbot-vision, GitHub https://github.com/robbyant/lingbot-vision, project page with interactive demos https://technology.robbyant.com/lingbot-vision.