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Meituan officially open-sourced LongCat-2.5, using the MIT protocol, supports commercial reasoning deployment and secondary training without additional authorization. LongCat-2.5 is a native multi-modal model for long-range intelligent tasks. End-to-end delivery capabilities are significantly improved in complex code base development, complete project construction, visual coding, and professional office scenarios. The total model parameters are 1.6 trillion, each token activates about 48 billion parameters, and supports 1 million contexts. For domestic computing power chips with limited video memory and bandwidth, deep collaborative optimization has also been carried out in terms of model architecture, chip adaptation, and deployment strategies.
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Meituan officially open-sourced LongCat-2.5, using the MIT protocol, supports commercial reasoning deployment and secondary training without additional authorization. LongCat-2.5 is a native multi-modal model for long-range intelligent tasks. End-to-end delivery capabilities are significantly improved in complex code base development, complete project construction, visual coding, and professional office scenarios. The total model parameters are 1.6 trillion, each token activates about 48 billion parameters, and supports 1 million contexts. For domestic computing power chips with limited video memory and bandwidth, deep collaborative optimization has also been carried out in terms of model architecture, chip adaptation, and deployment strategies.
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