GLM 5 FP8 runs in a compressed 8-bit floating point format, trading a small amount of numerical precision for significantly reduced memory footprint and faster inference. It handles text-based reasoning and conversation competently while fitting into hardware configurations that would struggle with full-precision equivalents. The quantization makes it practical for local deployment without requiring top-tier GPU resources.