Meituan has released LongCat-2.0, a 1.6 trillion parameter Mixture-of-Experts (MoE) model, under the MIT license. This open-source release is significant for the AI community as it provides both the model architecture and a comprehensive local deployment tutorial. The MoE architecture allows for efficient scaling by activating only a subset of parameters per input, making it suitable for large-scale applications. The deployment guide covers hardware requirements, setup steps, and optimization tips, lowering the barrier for researchers and engineers to experiment with state-of-the-art MoE models. This move signals China's growing contribution to the open-source AI ecosystem and offers a practical resource for those working on large language models.
Meituan has open-sourced LongCat-2.0, a 1.6 trillion parameter Mixture-of-Experts model under the MIT license. The release includes a detailed local deployment tutorial, making it a valuable resource for researchers and engineers exploring large-scale MoE architectures.