Model Overview Card for Llama 4 Maverick
Basic Information
- Model Name: Llama 4 Maverick
- Developer/Creator: Meta
- Model Type: Multimodal AI Model
Description
Overview
Llama 4 Maverick employs a mixture-of-experts architecture, featuring 128 experts with a total of approximately 400 billion parameters, utilizing 17 billion active parameters per token. This design enables it to outperform models like GPT-4o and Gemini 2.0 in coding and reasoning benchmarks.
Key Features
- Mixture-of-Experts Architecture: Utilizes 128 experts for enhanced performance.
- Multimodal support for text and images across 12 languages.
- Cost-effective deployment options with FP8 quantization for efficiency.
Intended Use
- Complex Problem Solving: Handles advanced reasoning tasks effectively.
- Code Generation and Analysis: Excels in creating and understanding complex code structures.
- Multimodal Applications: Designed for multilingual assistants, creative writing, visual storytelling, and coding applications.
Technical Details
Architecture
The model employs Meta’s mixture-of-experts (MoE) framework with active parameter counts of 400 billion. Maverick utilizes a large pool of 128 experts for task-specific activation.
Training Data
Trained on curated datasets including multilingual corpora, image datasets, and synthetic reasoning examples.
Usage
Code Samples:
const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.aimlapi.com/v1',
apiKey: '<YOUR_API_KEY>',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'meta-llama/llama-4-maverick',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
API Documentation:
Detailed API Documentation is available here.
Ethical Guidelines
Llama 4 Maverick has implemented safeguards against misuse such as generating harmful content or violating user privacy during tool integrations.
Licensing
Custom Llama 4 Community License