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Everything You Need to Know About LLAMA 4: An Overview of Scout, Maverick, and Behemoth!
#LLAMA #Scout #Maverick #Behemoth #explained
In this video, we dive into the exciting new Llama 4 family — Scout, Maverick, and the preview of Behemoth. Meta is redefining multimodal AI with these open-weight models that push the limits of context length, performance, and accessibility.
🔥 Key Highlights:
Llama 4 Scout: 17B active parameters, 16 experts, and a groundbreaking 10 million token context length — perfect for summarizing long documents, codebases, and multi-image tasks.
Llama 4 Maverick: 128 experts, 400B total parameters, a true general-purpose AI powerhouse for image & text understanding, chat, creative writing, and more — running efficiently on a single H100 DGX host.
Llama 4 Behemoth (Preview): The giant with nearly 2 trillion total parameters, 288B active, designed as a teacher model for distillation, outperforming GPT-4.5 and Claude Sonnet on math, coding, and reasoning benchmarks.
💡 We’ll break down:
Mixture of Experts (MoE): How activating only the needed experts boosts efficiency and lowers costs.
Multimodal Capabilities: Text, images, videos — seamless integration for next-level AI experiences.
Performance Benchmarks: Beating models like GPT-4o, Gemini 2.0, and Mistral 3.1 in several tasks.
Hardware Requirements: Can you run it on your Mac Studio M3 Ultra or do you need a cluster? We’ll cover it!
Commercial Use: Yes, you can use Llama 4 models commercially (with attribution).
🌍 Open & Accessible: Download Scout and Maverick today on llama.com and Hugging Face. Use Meta AI with Llama 4 in WhatsApp, Messenger, Instagram Direct, and on the web!
Whether you’re a developer, researcher, or just curious about the future of AI, this video will give you a clear, fast-paced overview of what makes Llama 4 a game-changer.
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