Techniquesoptimizationquantization-aware training

specific method · filed under optimization

INT4 Quantization-Aware Training

Quantization-aware training using INT4, reported in the evidence for the SFT stage.

source: 1
model: 1
lab adopt it: 1
strongest: used

How sources treat it

One count per evidence span, weakest treatment to strongest.

used 1

Documented in

Evidence

1 span quoted from the sources, strongest treatment first.

To provide better accuracy at low-precision, we apply INT4 QAT in the SFT stage.

usedoptimizationin GLM-5Z.ai

GLM-5: from Vibe Coding to Agentic Engineering·GLM-5 Team·2026-02-17

Filed alongside

Other methods under optimization :: quantization-aware training.

Quantization-Aware Training FP4 Quantization FP4 Quantization-Aware Training MXFP4 Weights with MXFP8 Activations Stochastic Rounding MXFP4 Quantization-Aware Post-Training NVFP4 Training Per-Block Scalar Scaling Q4_0 Quantization Format Quantize-Dequantize Training Random Hadamard Transforms Stochastic Rounding for Mamba Cache Stochastic Rounding of Gradients Straight-Through Estimator