Falcon 2Supported by the model card
- Image to text conversion generally, which is the documented capability.
- Assistive description of visual content for people who cannot see it, which is the accessibility framing used at launch.
- Captioning and visual question answering where English output is acceptable.
Plausible but unproven
- Document and form extraction: no published accuracy, so treat it as an experiment with human review.
- Visual inspection of products or parts: test against a labelled set before trusting it.
- Multilingual image question answering: the VLM is English only.
Where a single GPU model wins
The argument for an 11B VLM is deployment shape rather than raw capability: it runs on one GPU, ships under one licence for text and vision, and does not require a second vendor relationship. That is often the deciding factor for an internal tool, and rarely the deciding factor for a public product where accuracy claims must be defended.
Accessibility, carefully
Assistive description is the most compelling framing and also the one where silent errors do the most harm. If you build it, describe uncertainty rather than hiding it, and never let the model be the only source of information about something safety-relevant.
Related pages
Sources
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