You can see here: res = rest(ollama, { "model": "llava", "prompt": genprompt(box.name),

You can see here: res = rest(ollama, { "model": "llava", "prompt": genprompt(box.name), "images": [box.export()], "stream": False }) They are calling the ollama API to run Llava. Llava is a combo of an LLM base model and + vision projector (clip or ViT), and is usually around 4 - 8GB. Since every token generated needs access to all of the model weights, you would have to send 4 - 8 GB through USB with the Coral. Even at a generous 10gbit/s that is 8GB / 1.25GB = 6.4seconds per token. A 150 (short paragraph) generation would be 16minutes.