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Llama 3.2 11B Vision Instruct

Developed by meta-llama
Llama 3.2 is a multilingual, multimodal large language model released by Meta, supporting image-to-text and text-to-text conversion tasks with robust cross-modal understanding capabilities.
Downloads 784.19k
Release Time : 9/18/2024

Model Overview

Llama 3.2 is a Transformer-based multimodal model capable of processing both image and text inputs to generate detailed textual outputs. It is suitable for various scenarios such as art analysis, chart comprehension, and document QA.

Model Features

Multimodal Understanding
Capable of processing both image and text inputs to generate coherent and detailed textual outputs.
Multilingual Support
Supports multiple languages including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
Art and Chart Analysis
Can analyze the stylistic features and historical context of artworks, as well as extract key information from charts.
Document QA
Able to extract key information from documents such as invoices and answer related questions.

Model Capabilities

Image Understanding
Text Generation
Cross-Modal Reasoning
Multilingual Processing
Art Style Analysis
Chart Data Extraction
Document Information Extraction

Use Cases

Art Analysis
Rococo Art Analysis
Analyze the stylistic features and historical background of Rococo artworks.
Can provide detailed descriptions of Rococo-era artistic characteristics, including soft colors, curved lines, and intricate decorative details.
Chart Comprehension
Drought Region Analysis
Extract information about drought-affected regions from charts.
Can accurately identify and list regions severely affected by drought in 2016, such as Eastern and Southern Africa.
Document QA
Invoice Date Calculation
Extract date information from invoices and calculate the time difference.
Can accurately calculate the number of days between the invoice date and the due date, such as 15 days.
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