What is Aya Vision 8B?
C4AI Aya Vision 8B is a cutting-edge, open-weights research release, representing a significant advancement in vision-language AI. This 8-billion parameter model excels in diverse tasks, merging powerful visual processing with sophisticated multilingual understanding. It's designed to tackle challenges like OCR, image captioning, visual reasoning, and more, across 23 languages.
Key Features:
Multimodal Processing: 👁️📝 Seamlessly integrates visual and textual data. This allows the model to understand and generate text based on both image content and accompanying text prompts.
Multilingual Mastery: 🌍🗣️ Trained to excel in 23 languages, making it a truly global vision-language solution. It can handle input and generate output in languages like English, Spanish, Arabic, Chinese, Japanese, and many others.
Advanced Visual Encoding: 🖼️ Utilizes a SigLIP2-patch14-384 vision encoder, paired with a multilingual language model, through a specialized multimodal adapter. This architecture allows for nuanced vision-language understanding.
Flexible Image Handling: 📐 Processes images of arbitrary sizes, mapping them to supported resolutions while maintaining aspect ratios. Employs up to 12 input tiles and a thumbnail (364x364 pixels) for comprehensive image analysis.
Extended Context Length: 🧠 Supports a context length of 16K tokens, enabling it to handle detailed and complex prompts, as well as lengthy textual inputs.
Streamlined Integration: 💻 Offers easy integration via the
transformerslibrary. Quick setup and implementation are facilitated with provided code examples and thepipelineabstraction.
Technical Details:
Model Architecture: A vision-language model combining a multilingual language model (based on C4AI Command R7B and further post-trained with the Aya Expanse recipe) and a SigLIP2-patch14-384 vision encoder, connected via a multimodal adapter.
Image Processing: Encodes images using 169 visual tokens per 364x364 pixel tile.
Input: Text and images.
Output: Generated text.
Languages: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, Chinese (Simplified and Traditional), Russian, Polish, Turkish, Vietnamese, Dutch, Czech, Indonesian, Ukrainian, Romanian, Greek, Hindi, Hebrew, and Persian.
Parameters: 8 Billion.
Use Cases:
Multilingual Document Analysis: A global corporation can use Aya Vision 8B to analyze scanned documents (invoices, contracts, reports) in various languages. The model can extract text (OCR), summarize content, and answer specific questions about the document's content, even if the document contains images and text in multiple languages.
International E-commerce Image Tagging: An e-commerce platform operating in multiple countries can automatically generate descriptive tags and alt-text for product images in various languages. This enhances searchability and accessibility for customers worldwide.
Cross-Lingual Visual Question Answering: A research institution can use Aya Vision 8B to build a system that answers questions about images in different languages. For example, a user could upload a picture of a historical artifact and ask questions about it in Spanish, and the system would respond accurately in Spanish, based on its understanding of both the image and the question.
Conclusion:
C4AI Aya Vision 8B offers a powerful and versatile solution for developers and researchers seeking a state-of-the-art, open-source vision-language model. Its multilingual capabilities, advanced architecture, and ease of integration make it a valuable tool for a wide range of applications.
More information on Aya Vision 8B
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Aya Vision 8B was manually vetted by our editorial team and was first featured on September 4th 2025.
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