LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active
LongCat-2.0 is a large model with 1.6 trillion parameters, fully trained using domestically produced chips. The model aims to improve performance and efficiency in AI applications.
LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active
LongCat-2.0 is a large model with 1.6 trillion parameters, fully trained using domestically produced chips. The model aims to improve performance and efficiency in AI applications.
LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active
LongCat-2.0 is a large model with 1.6 trillion parameters, fully trained using domestically produced chips. The model aims to improve performance and efficiency in AI applications.
