Llama 4 Available on initializ — Build Fast, Without Compromise

Today, Meta has unveiled the inaugural models from the Llama 4 family, opening the door for developers to create highly customized multimodal experiences. Available now on initializ.ai for both free and paid users, the new Llama 4 Scout and Llama 4 Maverick models allow developers to execute advanced multimodal tasks while managing expenses and ensuring consistent performance.

Llama 4 leverages an innovative mixture-of-experts (MoE) architecture integrated with native multimodality. This fusion enables the development of sophisticated, long-context AI applications on initializ.ai.

At initializ.ai, our goal is to streamline the process of model fine-tuning, inferencing, and retrieval-augmented generation (RAG) using optimized GPU performance. By cutting the operational costs—whether you’re using our cloud or your own infrastructure—we empower developers to launch high-performance AI solutions through our fast, serverless endpoints, all fully compatible with the OpenAI SDK.

We’re excited to introduce both revolutionary Llama 4 models today:

Llama 4 Maverick (17B active params, 400B total)

• Features a 128-expert MoE design for superior multilingual image and text processing across 12 languages.
• Excels in creative writing and large-scale enterprise applications—surpassing the capabilities of Llama 3.3 70B.
• Handles a context window of 1M tokens*.

Key Advantages:

• 1M-token context*: Effortlessly process extensive datasets—be it full code repositories, comprehensive user histories, or massive research collections.
• 400B total parameters with 128 experts: Provides rapid, high-quality responses for chats, creative tasks, and precise image interpretation.
• 12-language support: Seamlessly develop applications for a global audience.

Illustrative Use Cases:

• 🌐 Delivering multilingual customer support enhanced by visual context.
• 🎨 Crafting marketing content from multimodal documents.
• 🔍 Enabling sophisticated document intelligence that combines text, diagrams, and tables.

Llama 4 Scout (17B active params, 109B total)

• Built with a 16-expert MoE approach, excelling in multi-document analysis, codebase reasoning, and personalized applications.
• A compact yet powerful model supporting both text and image inputs.
• Supports a context window of 10M tokens*.

Key Advantages:

• 10M-token context*: Efficiently manage entire textbooks or enormous datasets.
• 109B total parameters: Specifically designed for in-depth data and code analysis.

Illustrative Use Cases:

• 📚 Summarizing multiple documents for legal or financial reviews.
• 🧑💻 Automating personalized tasks based on extensive user information.
• 🖼️ Parsing images effectively for multimodal application development.

Discover the Llama 4 Family on initializ.ai

Llama 4 Maverick: The Global Workhorse

• Engineered for processing extensive data pipelines: Ideal for analyzing entire code repositories or vast research archives.
• Exceptional performance: Powered by our GPU optimizations to ensure fast and dependable outcomes.

Llama 4 Scout: Scalable Efficiency

• Designed for high-volume data tasks: Perfect for multi-document summarization, regulatory compliance, or personalized data insights.
• Cost-efficient operation: Leverage our serverless endpoints and adaptable inferencing solutions with seamless OpenAI SDK integration.

🚀 Quick Start

Explore Llama 4 Scout and Llama 4 Maverick today via our rapid, serverless API endpoints. Whether you're fine-tuning models, running inferencing, or utilizing RAG for advanced data retrieval, initializ.ai offers a straightforward and budget-friendly way to incorporate cutting-edge AI into your projects.

Here's an example to help you get started with the OpenAI SDK on our platform:

import openai

# Configure the API to use initializ.ai's serverless endpoint
openai.api_base = "https://api.us.initz.run/v1"
openai.api_key = "your-initializ-api-key"

response = openai.ChatCompletion.create(
   model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
   messages=[{"role": "user", "content": "Summarize this codebase..."}],
   max_tokens=500
)

print(response.choices[0].message.content)

🌍 What Will You Create?

With extended context capabilities, inherent multimodality, and MoE efficiency, Llama 4 paves the way for a new generation of AI applications. At initializ.ai, we give developers the tools to fine-tune and deploy these robust models while minimizing operational costs and offering complete deployment control—on our cloud or your own.

Experience the evolution of AI with Llama 4 on the initializ.ai Playground. Build applications that redefine the limits of artificial intelligence. Welcome to the next chapter in AI innovation at initializ.ai.

Try Llama 4 today on the initializ Playground, or get started with building directly on our API. You can also deploy it on our dedicated endpoints to serve the most demanding production applications and enterprises. The herd has evolved—join the revolution.

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