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Meta AI Unveils Llama 4 Architecture Preview: Native Multimodality and Sparse Mixture-of-Experts

Mark Zuckerberg reveals technical milestones for Llama 4, trained on a colossal 100,000+ H100 cluster with native vision-audio tokenization and ultra-efficient sparse MoE routing.
Meta AI Unveils Llama 4 Architecture Preview: Native Multimodality and Sparse Mixture-of-Experts

The Open Weights Frontier Advances to Llama 4

Meta AI has released architecture previews for Llama 4, the forthcoming generation of its open-weights foundation model family. Mark Zuckerberg confirmed that Llama 4 features a completely redesigned sparse Mixture-of-Experts (MoE) routing topology that activates only 40 billion parameters per token out of hundreds of billions total.

Native Multimodal Tokenization

Unlike previous hybrid designs that attached separate vision adapters to an existing language backbone, Llama 4 unifies video, audio, code, and text tokens into a shared continuous embedding space from step zero of pre-training.

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Marcus Vance
Staff AI Technology Analyst at AINewsPro

Senior AI Technology Journalist & Chief Editor at AINewsPro. Covering frontier foundation models, agentic workflows, and the intersection of neural networks and society.

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