GLM-5.2 model speed boosted over 20x via custom hacks

A Reddit user detailed a method for significantly accelerating the GLM-5.2 large language model on a specialized GH200 system. By combining components from different repositories and patching the vLLM inference engine, the user achieved inference speeds exceeding 50 tokens per second, a substantial improvement over the model's initial performance. The process involves merging weights from the zai-org/GLM-5.2-FP8 repository with the AWQ quant version from cyankiwi/GLM-5.2-AWQ-INT4. AI

IMPACT Demonstrates potential for significant inference speedups on specialized hardware through custom model modifications.

RANK_REASON User-driven optimization of an existing model, not a new release from a frontier lab.

Read on r/LocalLLaMA →

• cyankiwi/GLM-5.2-AWQ-INT4
• dnhkng/GLM-5.2-AWQ-INT4-FP8-MTP-delta
• GLM-5.2
• vLLM
• zai-org/GLM-5.2-FP8

• infra
• model release

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