Separate-draft MTP (multi-token-prediction) head for speculative decoding with CosmicRaisins/GLM-5.2-AWQ-INT4-15pct. cyankiwi/GLM-5.2-AWQ-INT4 drops GLM-5.2's native MTP layer, so this reconstructs it as a standalone INT4 draft that vLLM loads via --speculative-config (which also sidesteps vLLM #35041 / #38494). INT4 compressed-tensors, single MTP layer, 218 experts to match the pruned target. ~4.8 GB.

k=3 benched best for me on a synthetic corpus; Z.ai recommends k=5, and I haven't compared them in real-world use yet. Serving stack: github.com/CosmicRaisins/glm-5.2-gb10.

The MTP weights trace to GLM-5.2's native MTP head (Z.ai, MIT), sourced via 0xSero's NVFP4 layer-78 (0xSero/GLM-5.2-NVFP4-REAP-469B), then dequantized, re-quantized to INT4, expert-pruned to 218, and aligned to the DeepSeekMTP loader layout. The reconstruction and alignment are mine.

License MIT, inherited from the GLM-5.2 base: the MTP weights carry GLM-5.2's MIT grant through 0xSero's quantization (0xSero's repo declares no explicit license). Attributed to Z.ai and 0xSero; not affiliated with either.