Llama 4 supports 12 languages for tasks like multilingual writing — and developers can fine-tune Llama 4 models for additional languages beyond these 12, provided they comply with the Llama 4 Community License and the Acceptable Use Policy.
@aiatmeta
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Llama 4 Scout and Maverick Powered by Llama 4 Behemoth Distillation
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Llama 4 Scout and Llama 4 Maverick’s industry-leading performance is in large part thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Be on the lookout for more details on Llama 4 Behemoth at a future date!
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Llama 4: Mixture of Experts Architecture for Efficient Models
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Llama 4 is our first collection of models built using a mixture of experts (MoE) architecture. This architecture is more compute efficient for model training and inference and delivers higher quality models compared to dense architectures.
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Llama 4 Maverick: Industry-Leading Model for Assistant and Chat
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Llama 4 Maverick is our product workhorse model for general assistant and chat use cases. Its unparalleled, industry-leading performance in image and text understanding make it great for precise image understanding and creative writing.
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Inside Llama 4 Scout and Maverick Advanced AI Models
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Take a look under the hood of Llama 4 Scout and Llama 4 Maverick – our most advanced AI models yet
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Llama 4 Scout: State-of-the-art Performance with 10M Token Context
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Llama 4 Scout delivers state-of-the-art performance for its class enabled by continued “mid-training” with new training recipes using specialized datasets enhancing model quality and unlocking a 10M token input context length.
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Meta Introduces Llama 4 Scout and Maverick Multimodal AI Models
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Today is the start of a new era of natively multimodal AI innovation. Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality. Llama 4 Scout
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Meta PARTNR: Advancing Human-Robot Collaboration Details
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We shared more details on the Meta PARTNR work to unlock human-robot collaboration in this post https://
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AI Model Deployment Challenges for Real-Time Robotics
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One of the very interesting challenges with AI models for robotics is the constraints you're working with when deploying models that need to run in realtime on-device.
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CollaborativeAgentBench: First Multi-Turn Human-Agent Collaboration Benchmark
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New agents benchmark: CollaborativeAgentBench is the first benchmark studying collaborative LLM agents that work with humans across multi-turn collaboration on realistic tasks in backend programming & frontend design