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.
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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.
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.