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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-3.2-90B-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-3.2-90B-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
✨ Introducing Llama 3.2 90B Vision Instruct Turbo
Discover Meta's groundbreaking multimodal AI model, the Llama 3.2 90B Vision Instruct Turbo. Launched on September 25, 2024, this advanced model (Version 3.2) signifies Meta's significant entry into integrating sophisticated visual reasoning with powerful language processing.
Key Model Specifications
- ✓ Model Name: Llama 3.2 90B Vision Instruct Turbo
- ✓ Developer/Creator: Meta
- ✓ Release Date: September 25, 2024
- ✓ Version: 3.2
- ✓ Model Type: Multimodal (Text and Image)
🚀 Overview: Powering Multimodal AI
The Llama 3.2 90B Vision Instruct Turbo stands as a large-scale multimodal AI model, expertly engineered to process both text and images seamlessly. This model represents Meta's first dedicated foray into multimodal AI, providing sophisticated visual reasoning alongside its robust language understanding capabilities. It's designed to deliver a more holistic and intuitive AI experience.
💡 Core Features & Advanced Capabilities
- ► Multimodal Processing: Advanced handling of both text and images.
- ► 90 Billion Parameters: A vast neural network ensuring deep comprehension.
- ► Long Context Length: Supports up to 128k tokens for complex, extended interactions.
- ► Optimized Transformer Architecture: Built on a highly efficient, modern transformer framework.
- ► Advanced Training Techniques: Leverages Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
- ► High-Resolution Image Processing: Capable of analyzing images up to 1120x1120 pixels for meticulous detail.
🎯 Intended Use Cases & Applications
The Llama 3.2 90B Vision Instruct Turbo is designed for a diverse array of applications, making it an invaluable asset across multiple sectors:
- • Document-Level Understanding: Deep analysis and extraction from complex documents.
- • Interpretation of Charts & Graphs: Deriving accurate insights from visual data.
- • Image Captioning: Generating precise and contextually rich descriptions for images.
- • Visual Question Answering (VQA): Answering queries based on visual content.
- • Data Extraction & Processing: Efficiently pulling out relevant data from multimodal inputs.
- • Image Comparison: Identifying differences and similarities in visual data.
- • Personal Visual Assistance: Providing smart assistance for visual tasks.
🌐 Multilingual Support: This model supports multiple languages, making it exceptionally versatile for global applications and diverse linguistic requirements.
⚙️ Technical Architecture & Training
Model Architecture
The Llama 3.2 90B Vision Instruct Turbo employs an optimized transformer architecture. For image processing, it utilizes specifically trained image reasoning adaptor weights, which are seamlessly integrated with the core Large Language Model (LLM) weights via a cross-attention mechanism. This allows for a cohesive understanding of both visual and textual inputs.
Training Data & Knowledge Base
- • Data Source & Size: Trained on an expansive dataset comprising 6 billion (image, text) pairs.
- • Knowledge Cutoff: The model's knowledge base is current up to December 2023.
📊 Performance Metrics & Benchmarks
The Llama 3.2 90B Vision Instruct Turbo demonstrates exceptional performance across various critical benchmarks in multimodal understanding, showcasing its competitive edge:
- ⭐ Chart Understanding (ChartQA): Matches OpenAI's GPT-4o in accuracy.
- ⭐ Scientific Diagram Interpretation (AI2D): Outperforms Anthropic's Claude 3 Opus and Google's Gemini 1.5 Pro.
Comparison to Other Models: This model is a formidable competitor against leading AI models such as Claude 3 Haiku and GPT-4o-mini, particularly excelling in its image recognition and comprehensive visual understanding capabilities.
📝 Usage Guidelines & Licensing
Code Samples for Integration
Developers can integrate Llama 3.2 90B Vision Instruct Turbo into their applications using standard API calls. For detailed implementation instructions and code examples, refer to the official API documentation provided by platforms hosting this model (e.g., Together.ai for chat completion vision tasks).
🛡️ Ethical Guidelines & Safety
To ensure responsible and ethical deployment, the model is equipped with a new Llama Guard safety model. This feature is crucial for mitigating potential biases and promoting the fair and safe use of its advanced AI functionalities.
📜 Licensing & EU Commercial Use Restriction
The Llama 3.2 models, including all associated multimodal capabilities, are governed by a specific licensing agreement. A significant clause within 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 not granted rights to utilize these models for commercial purposes.
Critical Information for Developers: This restriction is essential for developers and organizations considering the deployment of Llama 3.2 models in their applications within the EU. For complete and detailed information on the acceptable use and licensing terms, please refer to the Llama 3.2 Use Policy.
❓ Frequently Asked Questions (FAQ)
Q1: What is Llama 3.2 90B Vision Instruct Turbo?
A: It is Meta's latest large-scale multimodal AI model, released on September 25, 2024, designed to process both text and images with 90 billion parameters, offering advanced visual and language understanding.
Q2: What are the main capabilities of this model?
A: Its primary capabilities include high-resolution image processing (up to 1120x1120 pixels), long context length support (up to 128k tokens), and strong performance in tasks like image captioning, visual question answering, and document analysis.
Q3: How does Llama 3.2 90B Vision Instruct Turbo compare to other AI models?
A: It matches OpenAI's GPT-4o on chart understanding and surpasses Anthropic's Claude 3 Opus and Google's Gemini 1.5 Pro in interpreting scientific diagrams, positioning it among top-tier multimodal AI models.
Q4: Are there any restrictions on its commercial use?
A: Yes, critically, commercial use of Llama 3.2 models is not permitted for individuals or organizations based within the European Union, as stated in the Llama 3.2 Acceptable Use Policy.
Q5: What is the knowledge cutoff for Llama 3.2 90B Vision Instruct Turbo?
A: The model's training data incorporates knowledge up to December 2023.
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