Run Isaac 0.1 on Replicate

This post introduces Isaac 0.1, a 2B-parameter, open-weight vision-language model. It highlights Isaac's capabilities in grounded visual reasoning (returning bounding boxes tied to claims), strong OCR in real-world conditions, and spatial awareness for physical environments. The model's efficiency is emphasized for real-time or edge-constrained applications. It also notes Isaac's ability to learn new tasks from examples without fine-tuning. A JavaScript API example is provided.