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.
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 |
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.
