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Meituan Releases LongCat-2.0: A 1.6T-Parameter Open MoE Model with Native 1M Context and LongCat Sparse Attention

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Meituan Releases LongCat-2.0: A 1.6T-Parameter Open MoE Model with Native 1M Context and LongCat Sparse Attention
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Meituan has released LongCat-2. 0, a 1. 6 trillion-parameter Mixture-of-Experts model that activates about 48 billion parameters per token. It pairs a native 1-million-token context, built on LongCat Sparse Attention, with training and serving run end-to-end on domestic AI ASIC superpods.

Here is the architecture, the vendor-reported benchmarks, the API access path, and what remains unverified. The post Meituan Releases LongCat-2. 0: A 1. 6T-Parameter Open MoE Model with Native 1M Context and LongCat Sparse Attention appeared first on MarkTechPost.

This is a summary. For the full story, read the original article at MarkTechPost.

Original source: MarkTechPost

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