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mxfp4

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QUANTIZATION · 09AFTERTRAINEDWEIGHTS THAT SURVIVE ROUNDING
quantizationqatmxfp4

Quantization-Aware Training: When the Model Learns Its Own Precision

Why Kimi K2 Thinking ships in INT4 and gpt-oss and K3 in MXFP4: training with rounding in the loop, explained and measured on a small model.

by The Serving Stack
NUMBER FORMATS · 06E8M0 SCALE32 VALUES SHARE ONE SCALE
formatsmxfp4microscaling

Microscaling: MXFP8, MXFP6, MXFP4 and Block Scales

The OCP microscaling formats: 32 values sharing one power-of-two scale, what MXFP8, MXFP6, and MXFP4 cost in accuracy on a real model, and why the scale rule matters.

by The Serving Stack

Inference Notes

Once a week: what changed in serving AI models, and what it means if you build, run or pay for them, in about five minutes.

The Serving Stack

Inference Engineering, In Depth

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