Ask questions about images to get answers
PaliGemma2 LoRA finetuned on VQAv2
Display a loading spinner while preparing a space
Display a list of users with details
Upload images to detect and map building damage
Display a gradient animation on a webpage
a tiny vision language model
Ask questions about images of documents
Visualize AI network mapping: users and organizations
Find specific YouTube comments related to a song
Display real-time analytics and chat insights
Ask questions about images and get detailed answers
One-minute creation by AI Coding Autonomous Agent MOUSE-I"
Llama 3.2 11 B Vision is an advanced AI model designed for Visual Question Answering (Visual QA). It is part of the Llama series developed by Meta, leveraging 11 billion parameters to process and analyze visual data. This model enables users to ask questions about images and receive accurate answers, making it a powerful tool for image-based queries.
• Visual Question Answering: Ability to answer questions based on images.
• Multi-modal Processing: Combines visual and textual information for comprehensive understanding.
• High Accuracy: Engineered for precise responses using advanced training data.
• Versatile Applications: Supports a wide range of image types and question formats.
• Scalability: Part of the Llama family, offering flexibility for various use cases.
What formats of images does Llama 3.2 11 B Vision support?
Llama 3.2 11 B Vision supports common image formats like JPEG, PNG, and BMP.
Does Llama 3.2 11 B Vision require an internet connection?
No, the model can be used offline once it's downloaded and set up.
How is Llama 3.2 11 B Vision different from other Llama models?
Llama 3.2 11 B Vision is specifically optimized for visual understanding, making it uniquely suited for image-based tasks compared to other models in the series.