Chat about images using text prompts
Ivy-VL is a lightweight multimodal model with only 3B.
Analyze traffic delays at intersections
Answer questions about documents and images
Find answers about an image using a chatbot
Generate image descriptions
Generate dynamic torus knots with random colors and lighting
Fetch and display crawler health data
PaliGemma2 LoRA finetuned on VQAv2
Turn your image and question into answers
Add vectors to Hub datasets and do in memory vector search.
Answer questions based on images and text
Ask questions about images and get detailed answers
Llama-Vision-11B is a state-of-the-art AI model designed to process and understand visual content through text-based interactions. It is part of the LLaMA (Large Language Model Meta AI) family, optimized for visual question answering and image-based conversation tasks. The model allows users to describe images using text prompts and generates contextually relevant responses.
• Visual Understanding: Processes images and extracts meaningful information from them.
• Text-Based Interaction: Chat with images using natural language prompts.
• Vision-Language Integration: Combines visual perception with language generation capabilities.
• Multi-Modal Support: Handles diverse types of visual content effectively.
• Customization: Pre-trained for a wide range of visual tasks but can be fine-tuned for specific use cases.
• Scalability: Designed to handle various image sizes and resolutions.
What types of images does Llama-Vision-11B support?
Llama-Vision-11B supports a wide range of image formats and resolutions, including but not limited to photographs, diagrams, and synthetic visuals.
Can Llama-Vision-11B process video content?
No, Llama-Vision-11B is optimized for static image processing and does not currently support video content.
Is Llama-Vision-11B suitable for real-time applications?
Yes, depending on the implementation and infrastructure, Llama-Vision-11B can be used for real-time applications, but performance may vary based on hardware and input complexity.