FreeToken Engine Runs 753B GLM-5.2 MoE Model on a Single Workstation GPU

FreeToken is a new edge-native serving engine designed for Mixture-of-Experts (MoE) architectures that enables running the 753B-parameter GLM-5.2 model on a single workstation-class GPU. The engine achieves this by intelligently managing expert routing and memory offloading to reduce the effective GPU memory footprint without sacrificing model fidelity. For developers, this represents a dramatic reduction in the hardware barrier for deploying frontier-scale MoE models locally or at the edge, eliminating the need for multi-GPU server clusters. This is particularly relevant for enterprise developers who need data-sovereign deployments or low-latency inference without cloud dependency. If the claims hold at production workloads, FreeToken could meaningfully reshape how teams think about on-premise large model deployment.