Meta Llama3 8b with Llava Multimodal capabilities
Visualize attention maps for images using selected models
Gaze Target Estimation
Facial expressions, 3D landmarks, embeddings, recognition.
Generate mask from image
Segment human parts in images
Recognize micro-expressions in images
Watermark detection
Enhance and restore images using SwinIR
Find similar images using tags and images
Generate clickable coordinates on a screenshot
Evaluate anime aesthetic score
Generate flow or disparity from two images
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.