LongCat 2.0: Open Mixture-of-Experts Model with 1.6T Parameters

benjiro29 released LongCat 2.0, a large open-source MoE model with 1.6 trillion total parameters but only 48 billion active during inference, making it feasible to run on modest hardware. The efficiency gains from the mixture-of-experts architecture could appeal to indie builders working with language models on tight compute budgets.