AI is happening. The future is updating.A.X-K1
**A.X K1** is a large-scale Mixture-of-Experts (MoE) language model designed for efficient high-capacity reasoning and instruction following, and was trained from scratch without initializing from an existing pretrained model. The model contains **519 billion total parameters**, with **33 billion active parameters**, enabling strong performance while maintaining practical inference efficiency. This hybrid design allows the user to choose between in-depth reasoning and response latency depending on task requirements. A.X K1 follows a sparse Mixture-of-Experts architecture in which only a subset of experts is activated per token. This design substantially increases model capacity while keeping the computational cost comparable to dense models with much smaller parameter counts.
**A.X K1** is a large-scale Mixture-of-Experts (MoE) language model designed for efficient high-capacity reasoning and instruction following, and was trained from scratch without initializing from an existing pretrained model. The model contains **519 billion total parameters**, with **33 billion active parameters**, enabling strong performance while maintaining practical inference efficiency. This hybrid design allows the user to choose between in-depth reasoning and response latency depending on task requirements. A.X K1 follows a sparse Mixture-of-Experts architecture in which only a subset of experts is activated per token. This design substantially increases model capacity while keeping the computational cost comparable to dense models with much smaller parameter counts.