Smaller Llama size, same Llama power Absolutely stoked to see what the world builds with Llama 4
@aiatmeta
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Run Llama 4 Models Easily with vLLM pip Installation
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With vLLM via pip, run any of the models in the Llama 4 family with a simple command.
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Llama 4 Ecosystem: Rich Experiences and New Model Details
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We can’t wait to see the rich experiences people build in the new Llama ecosystem! Even more details on the Llama 4 herd in the model card
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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 supports 12 languages with fine-tuning options
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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.
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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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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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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
• 17B-active-parameter model