GLM-4.6-NVFP4

Quantized version of GLM-4.6 using LLM Compressor and the NVFP4 (E2M1 + E4M3) format.

This time it actually works! We think

This should be the start of a new series of hopefully optimal NVFP4 quantizations as capable cards continue to grow out in the wild.

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Model Summary

Property	Value
Base model	GLM-4.6
Quantization	NVFP4 (FP4 microscaling, block = 16, scale = E4M3)
Method	Post-Training Quantization with LLM Compressor
Toolchain	LLM Compressor
Hardware target	NVIDIA Blackwell (Untested on RTX cards) / GB200 Tensor Cores
Precision	Weights & activations = FP4 • Scales = FP8 (E4M3)
Maintainer	REMSP.DEV

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Description

This model is a drop-in replacement for GLM-4.6 that runs in NVFP4 precision, enabling up to 6× faster GEMM throughput and around 65 % lower memory use compared with BF16. Accuracy remains within ≈ 1 % of the FP8 baseline on standard reasoning and coding benchmarks.

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