Llama-3.2-11B-Vision

Llama-3.2-11B-Vision

Llama-3.2-11B-Vision is a multi-modal large-scale language model released by Meta. It integrates image and text processing capabilities and aims to improve visual recognition, image reasoning, image description, and image-related problem-solving capabilities. The model outperforms numerous open source and closed source multi-modal models on multiple industry benchmarks.

target users

Researchers, developers, and enterprise users need to combine images and text to improve AI system performance.

Usage scenarios

Visual Q&A users upload images and ask questions, and the model gives answers.

Document visual question answering models understand document text and layout and answer image-related questions.

Image Description automatically generates descriptive text for social media images.

Image text retrieval helps users find text descriptions that match the content of uploaded images.

Product features

Visual recognition optimization models recognize objects and scenes in images.

Image reasoning models understand image content and perform logical reasoning.

Image description generates text that describes the content of the image.

Image Q&A understands images and answers users' image-based questions.

Multi-Language Support Image text app only supports English but text tasks support English German French Italian Portuguese Hindi Spanish and Thai.

The license agreement uses the Llama 3.2 Community License.

Responsible deployment follows Meta best practices to ensure model safety and practicality.

Tutorial

1 Install the transformers library. Make sure the transformers library is installed and updated to the latest version.

2. Load the model. Use the MllamaForConditionalGeneration and AutoProcessor classes in the transformers library to load the model and processor.

3 Preparing input combines images and text prompts into an input format acceptable to the model.

4 Generate text Call the generate method of the model to generate text based on the input image and prompts.

5 The output handler decodes and displays the generated text.

6 When adhering to the licensed usage model, comply with the terms of the Llama 3.2 Community License Agreement.