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Llama 3.2 11B Vision Instruct

Developed by alpindale
Llama 3.2-Vision is a multimodal large language model developed by Meta, supporting both image and text inputs, capable of tasks such as visual recognition, image reasoning, and captioning.
Downloads 3,057
Release Time : 9/25/2024

Model Overview

Llama 3.2-Vision is a multimodal model built upon the Llama 3.1 text-only model, optimized for visual recognition, image reasoning, image captioning, and answering general questions about images.

Model Features

Multimodal Capabilities
Supports both image and text inputs, capable of understanding and generating text content related to images.
Large-scale Parameters
Offers two parameter scales, 11B and 90B, to accommodate different computational needs.
Multilingual Support
Supports multiple languages including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
Optimized Visual Recognition
Specifically optimized for visual recognition, image reasoning, and captioning tasks, outperforming many open-source and proprietary multimodal models.

Model Capabilities

Visual Recognition
Image Reasoning
Image Captioning
Multilingual Text Generation
Answering Questions About Images

Use Cases

Image Understanding
Image Caption Generation
Generates detailed textual descriptions for input images.
Produces accurate and detailed descriptions, suitable for assisting visually impaired users.
Visual Question Answering
Answers user questions about image content.
Capable of accurately answering complex questions about objects, scenes, and relationships in images.
Multilingual Applications
Multilingual Image Annotation
Generates annotations and descriptions for images in multiple languages.
Supports multilingual image understanding and captioning, suitable for international applications.
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