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0.00019
11B
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Llama 3.2 11B Vision Instruct Turbo

Llama 3.2 11B Vision Instruct Turbo: Meta's multimodal AI model for image-text processing, offering high performance and multilingual support.
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Llama 3.2 11B Vision Instruct Turbo

Powerful multimodal AI model for image-text tasks with 11B parameters.

Basic Information

Model Name: Llama 3.2 11B Vision Instruct Turbo

Developer/Creator: Meta

Release Date: September 25, 2024

Version: 3.2

Model Type: Multimodal (Text + Image)

Description

Overview:

Llama 3.2 11B Vision Instruct Turbo is a powerful multimodal AI model designed for image and text processing tasks. It offers exceptional speed and accuracy, making it ideal for applications such as image captioning, visual question answering, and image-text retrieval.

Key Features:
  • 11 billion parameters
  • 128K context length support
  • 1120x1120 image resolution support
  • Multilingual capabilities
  • Optimized for production applications
Intended Use:

This model is intended for high-demand production applications requiring scalable, enterprise-ready performance in multimodal AI tasks.

Language Support:

For text-only tasks, the model officially supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. However, for image+text applications, only English is supported.

Technical Details

Architecture:

Llama 3.2 Vision is built on top of the Llama 3.1 text-only model, utilizing an optimized transformer architecture. It incorporates a separately trained vision adapter that integrates with the pre-trained Llama 3.1 language model through a series of cross-attention layers.Training Data:

  • Data Volume: 6 billion (image, text) pairs
  • Knowledge Cutoff: December 2023
Performance Metrics:

The model outperforms many available open-source and closed multimodal models on common industry benchmarks.

Comparison to Other Models

Accuracy:

Llama 3.2 11B Vision Instruct Turbo offers high accuracy for multimodal tasks, striking a balance between performance and cost. However, for even higher accuracy, the 90B parameter version is available.

Speed:

The model is optimized for fast inference, making it suitable for real-time applications.

Robustness:

With its large parameter count and diverse training data, the model demonstrates strong generalization capabilities across various topics and languages.

Usage

Code Samples:

Ethical Guidelines

Users are prohibited from using the model for malicious purposes, circumventing usage restrictions, or engaging in illegal activities. The model should not be used for applications in military, warfare, nuclear industries, or espionage.

Licensing

The Llama 3.2 models, including all associated multimodal capabilities, are governed by a specific licensing agreement that restricts commercial use within Europe. According to the Llama 3.2 Acceptable Use Policy, individuals or organizations based in the European Union are not granted rights to utilize these models for commercial purposes. This restriction is crucial for developers and organizations considering the deployment of Llama 3.2 models in their applications within the EU.

For more detailed information on the acceptable use and licensing terms, please refer to the Llama 3.2 Use Policy.

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