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42-62 were rebuilt as ModelOpt MXFP8 from the BF16
zai-org/GLM-5.1 checkpoint. The remaining sparse expert layers stay NVFP4.model.layers.78.*. The FP8-PB-WO mixed base checkpoint had that layer in BF16,
so this checkpoint transplants model.layers.78.* from
lukealonso/GLM-5.1-NVFP4-MTP to keep the production NVFP4 MTP layer./root/.cache/huggingface/hub/models--festr2--glm51-nvfp4-w4a16-fp8pbwo-l42-62-20260517/snapshots/e37f1787435d2b2c111a5f5eac924a556a06e257/root/.cache/huggingface/hub/models--zai-org--GLM-5.1/snapshots/26e1bd6e011feb778d25ae34b09b07074139d92d/root/.cache/huggingface/hub/models--lukealonso--GLM-5.1-NVFP4-MTP/snapshots/78b7fe365f3905b4e0261a85182fefdbd5137989https://github.com/local-inference-lab/quant-toolkit/blob/codex/glm51-mxfp8-converter-20260526/tools/patch_glm51_experts_mxfp8_from_bf16.pyhttps://github.com/local-inference-lab/quant-toolkit/commit/6f406718271f45b1365abf388a00483b66067fd8https://github.com/local-inference-lab/rtx6kpro/blob/master/models/glm5.1_mxfp8_checkpoint.md1model.layers.42-62.mlp.experts.* -> MXFP8
2model.layers.78.* -> NVFP4 MTP
3other sparse expert layers -> inherited NVFP4/mixed base state1model.layers.42.mlp.experts.0.gate_proj.weight
2 shape: [2048, 6144]
3 dtype: F8_E4M3
4
5model.layers.42.mlp.experts.0.gate_proj.weight_scale
6 shape: [2048, 192]
7 dtype: U8
8
9model.layers.78.mlp.experts.0.gate_proj.weight
10 shape: [2048, 3072]
11 dtype: U8