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const main = async () => {
const result = await fetch('https://api.ai.cc/v1/chat/completions', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo',
max_tokens: 1024,
messages: [
{
role: 'user',
content: [
{
type: 'text',
text: 'What’s in this image?',
},
{
role: 'user',
type: 'image_url',
image_url: {
url: 'https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg',
},
},
],
},
],
}),
}).then((res) => res.json());
const message = result.choices[0].message.content;
console.log(\`Assistant: \${message}\`);
};
main();
import os
from together import Together
client = Together(base_url="https://api.ai.cc/v1", api_key="")
def main():
response = client.chat.completions.create(
model="meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "What sort of animal is in this picture? What is its usual diet? What area is the animal native to? And isn’t there some AI model that’s related to the image?",
},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/LLama.jpg/444px-LLama.jpg?20050123205659",
},
},
],
}
],
max_tokens=1024,
)
print("Assistant: ", response.choices[0].message.content)
if __name__ == '__main__':
main()
-
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Product Detail
✨Llama 3.2 11B Vision Instruct Turbo: Overview
The Llama 3.2 11B Vision Instruct Turbo model, developed by Meta and released on September 25, 2024 (Version 3.2), stands as a cutting-edge multimodal AI model. It is expertly designed to handle both image and text processing tasks with remarkable efficiency.
- 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)
🚀Key Capabilities & Features
This powerful AI model delivers exceptional speed and accuracy, making it an ideal choice for a range of demanding applications including image captioning, visual question answering, and image-text retrieval.
- ▶️11 billion parameters: A robust foundation for complex tasks.
- ▶️128K context length support: Handles extensive input for comprehensive understanding.
- ▶️1120x1120 image resolution support: Processes high-quality visual data.
- ▶️Multilingual capabilities: Broad language support for text-only tasks.
- ▶️Optimized for production applications: Built for scalable, enterprise-ready performance.
🎯Intended Use Cases
The Llama 3.2 11B Vision Instruct Turbo model is primarily designed for high-demand production applications. It excels in scenarios requiring scalable, enterprise-ready performance within multimodal AI tasks, offering robust solutions for complex integration.
🌐Language Support
For text-only tasks, the model officially supports a wide array of languages including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. However, for image+text applications, functionality is currently supported exclusively in English.
🧠Technical Deep Dive
⚙️Architecture
Llama 3.2 Vision is built upon the robust foundation of the Llama 3.1 text-only model, leveraging an optimized transformer architecture. It seamlessly integrates a separately trained vision adapter through a series of cross-attention layers, extending its capabilities to visual processing.
📊Training Data
- ✅Data Volume: Trained on a massive dataset of 6 billion (image, text) pairs.
- ✅Knowledge Cutoff: The model's knowledge extends up to December 2023.
📈Performance Metrics
The Llama 3.2 11B Vision Instruct Turbo consistently outperforms many other available open-source and closed multimodal models across various common industry benchmarks, demonstrating its superior capabilities.
⚖️Comparison to Other Models
✨Accuracy
The Llama 3.2 11B Vision Instruct Turbo delivers high accuracy for multimodal tasks, striking an excellent balance between performance and operational cost. For applications demanding even higher precision, a more powerful 90B parameter version is also available.
⚡Speed
Optimized for rapid inference, this model is perfectly suited for real-time applications where quick response times are critical.
🛡️Robustness
With its substantial parameter count and diverse training data, the model exhibits strong generalization capabilities, ensuring reliable performance across a wide range of topics and languages.
🛠️Usage Guidelines
💻Code Samples
Detailed code samples for integrating the Llama 3.2 11B Vision Instruct Turbo model into your applications would typically be provided here, demonstrating API calls for chat completion vision tasks. (Placeholder for integration examples).
📜Ethical Guidelines
Users are strictly prohibited from utilizing the model for malicious purposes, circumventing usage restrictions, or engaging in any illegal activities. Furthermore, the model must not be deployed in applications related to military, warfare, nuclear industries, or espionage.
📝Licensing Information
The Llama 3.2 models, including all their multimodal functionalities, are subject to a specific licensing agreement. A key aspect of this agreement is the restriction on commercial use within Europe.
According to the Llama 3.2 Acceptable Use Policy, individuals or organizations based in the European Union are explicitly not granted rights to utilize these models for commercial purposes. This restriction is a critical consideration for developers and organizations planning to deploy Llama 3.2 models in their applications within the EU region.
For comprehensive details on the acceptable use and complete licensing terms, please refer to the officially published document titled "Llama 3.2 Use Policy".
❓Frequently Asked Questions (FAQ)
Q1: What is Llama 3.2 11B Vision Instruct Turbo?
A1: It is a powerful multimodal AI model from Meta, released in September 2024, designed for advanced image and text processing tasks.
Q2: What are its primary applications?
A2: It's ideal for image captioning, visual question answering, image-text retrieval, and other high-demand production applications requiring scalable multimodal AI performance.
Q3: Which languages does the model support?
A3: For text-only tasks, it supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. However, for image+text applications, only English is supported.
Q4: Is there a more accurate version available?
A4: Yes, while the 11B version offers high accuracy, a 90B parameter version is available for even higher precision in multimodal tasks.
Q5: Are there any commercial use restrictions for Llama 3.2 models?
A5: Yes, commercial use of Llama 3.2 models, including multimodal capabilities, is explicitly restricted for individuals and organizations based in the European Union according to its Acceptable Use Policy.
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