Choosing which model layers to run at NVFP4 4-bit precision
Overview
Baseten explains how to decide which layers of a model can run at 4-bit NVFP4 quantization without losing information the model needs.
Its guide compares three approaches: architecture-based heuristics, isolated-layer sensitivity scoring, and SaturationQuant, which accounts for the effect of other quantized layers. The post also covers calibrating with representative data and using block-level scales over groups of 16 values.
The post is a first-party explanation from Baseten, so it describes the company's own method guidance rather than independent testing of the approaches.
Written by AI from the articles below · updated Oct 9, 10:55 AM ET
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- Baseten BlogPickHow to choose which layers to run at NVFP4 quantization precision
AIBaseten explains how to decide which layers of a model can run in 4-bit NVFP4 without losing needed information. The post compares architecture-based heuristics, isolated-layer sensitivity scoring, and SaturationQuant, which accounts for other quantized layers. It also covers calibration with representative data and block-level scales of 16 values.
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