美团开源了1.6T参数的LongCat-2.0，激活参数480亿，原生支持100万token上下文，国内ASIC集群跑出来的，值得关注。
美团发布LongCat-2.0，总参数量1.6万亿，每个token激活约480亿参数。模型原生支持100万token上下文，采用LongCat稀疏注意力机制。训练与推理均在国内AI ASIC超算集群上完成。该模型开源，API已开放访问。
Meituan Releases LongCat-2.0: A 1.6T-Parameter Open MoE Model with Native 1M Context and LongCat Sparse Attention
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 .