Meta Llama3 8b with Llava Multimodal capabilities
Identify shrimp species from images
Watermark detection
Search and detect objects in images using text queries
https://huggingface.co/spaces/VIDraft/mouse-webgen
Generate 3D depth maps from images and videos
Simulate wearing clothes on images
Find similar images from a collection
Install and run watermark detection app
Facial expressions, 3D landmarks, embeddings, recognition.
Tag images to find ratings, characters, and tags
Segment body parts in images
Visual Retrieval with ColPali and Vespa
Llava Llama-3 8B is a version of Meta's Llama 3 model enhanced with Llava's multimodal capabilities. It is a state-of-the-art AI model with 8 billion parameters, designed to process and understand both text and images. This model allows users to upload images and engage in conversations about them, making it a versatile tool for multimodal tasks.
What file formats does Llava Llama-3 8B support for images?
Llava Llama-3 8B supports common image formats, including PNG, JPG, and JPEG.
How does Llava Llama-3 8B's performance compare to larger models?
While larger models may have more parameters, Llava Llama-3 8B is optimized for balance, offering strong performance with efficient resource usage.
Can I use Llava Llama-3 8B on any platform?
Llava Llama-3 8B can be integrated into various platforms and applications, but access may require specific tools or APIs depending on the deployment environment.