Description

Fuyu-8B is a multimodal model from Adept AI Labs that consumes both images and text and produces text. The visible model card describes it as a decoder-only transformer designed for digital-agent style tasks, including working with arbitrary image resolutions and answering questions about graphs, diagrams, and UI screenshots.

The page also notes that it can perform standard image understanding tasks and is available for use with common tooling such as Transformers, vLLM, SGLang, and Docker-based deployments.

How we innovate

What stands out about Fuyu-8B is its simple decoder-only multimodal design: image patches are projected directly into the transformer rather than passed through a separate image encoder, enabling support for arbitrary image resolutions.

Use Case / Scenario

1. Visual question answering

Use Fuyu-8B to answer questions about images, including charts, diagrams, and other visual content mentioned on the model card.

2. UI and screen understanding

The model is described as suitable for answering UI-based questions and doing fine-grained localization on screen images.

3. General image understanding workflows

It can be used for standard image understanding tasks such as visual question answering and image captioning, with support for arbitrary image resolutions.

Visit Website