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festr2/GLM-5.2-BF16-AMDMXFP4experts
GLM-5.2-BF16-AMDMXFP4experts is a machine learning model from festr2. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Hybrid GLM-5.2 checkpoint spliced from two sources (pure byte copies, no requantization):
Downloads · 30 days
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.safetensors428 GB · 100%
How the weights are stored.
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From the Hugging Face model README
Hybrid GLM-5.2 checkpoint spliced from two sources (pure byte copies, no requantization):
model-mtp.safetensorsquantization_config = {"quant_method": "mxfp4"} — loads in vLLM without patches: dense goes through the unquantized BF16 path, routed experts through the MXFP4 MoE path (B12X backend on SM120).
vllm serve festr2/GLM-5.2-BF16-AMDMXFP4experts \
--tensor-parallel-size 8 \
--kv-cache-dtype fp8 \
--trust-remote-code
MoE activation modes: default w4a16; on the B12X stack B12X_MOE_FORCE_A8=1 selects w4a8_mx (valid for MXFP4 experts; do not use A8 force on NVFP4-expert checkpoints).