Chat about images by uploading them and typing questions
llama.cpp server hosting a reasoning model CPU only.
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Send messages to a WhatsApp-style chatbot
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Interact with a Korean language and vision assistant
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Chat with an empathetic dialogue system
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Example on using Langfuse to trace Gradio applications.
Generate responses in a chat with Qwen, a helpful assistant
Generate detailed step-by-step answers to questions
Quickest way to test naive RAG run with AutoRAG.
Llama-Vision-11B is a state-of-the-art AI model designed to enable interactive and intuitive conversations about images. It combines advanced language understanding with visual recognition, allowing users to upload images and ask questions about them. This model is part of the Llama family, focusing specifically on image-based interactions and providing detailed, context-aware responses.
• Image Understanding: Capable of analyzing and interpreting visual content, enabling meaningful discussions about uploaded images.
• Multimodal Interaction: Combines text-based input with image analysis for a more engaging user experience.
• Real-Time Analysis: Provides instant responses to user queries about the uploaded images, making it ideal for interactive applications.
1. What file formats does Llama-Vision-11B support?
Llama-Vision-11B supports commonly used image formats, including JPEG, PNG, and BMP.
2. Can Llama-Vision-11B work with blurry or low-quality images?
The model can still analyze blurry or low-quality images, but the accuracy of its responses may be affected by the image clarity.
3. What are common use cases for Llama-Vision-11B?
Common use cases include object recognition, scene description, and answering specific questions about visual content in images.