New technique shrinks GLM-5.2 model memory by 25% without loss

A researcher demonstrates lossless compression of the GLM-5.2 language model, reducing memory usage by 25% while preserving full accuracy. The method uses weight quantization and pruning optimizations. This could lower deployment costs for large AI models.