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title: "Baseten published a technical explainer on selecting layer precision for NVFP4 quantization"
description: "Baseten published a technical explainer on selecting layer precision for NVFP4 quantization."
retrieval_nugget: "Baseten published a technical explainer on selecting layer precision for NVFP4 quantization."
observed_at: "2026-10-09"
record_date: "2026-10-09"
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verification_level: "source-linked"
signal_type: "research"
source_platform: "baseten.co"
topics: []
entities: ["Baseten","NVFP4","NVIDIA ModelOpt","SaturationQuant"]
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source_url: "https://www.baseten.co/blog/what-makes-a-high-quality-nvfp4-quantization"
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status: "published"
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editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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# Baseten published a technical explainer on selecting layer precision for NVFP4 quantization

## Retrieval answer

Baseten published a technical explainer on selecting layer precision for NVFP4 quantization.

Baseten published a technical explainer on selecting layer precision for NVFP4 quantization. It describes activation calibration, block scaling over groups of 16 values, architecture-based heuristics, and sensitivity scoring for mixed-precision recipes. Its central warning is that isolated-layer sensitivity scores are not additive: the loss contribution of quantizing a layer depends on what else has already been quantized. The post describes SaturationQuant, using Aumann–Shapley scoring, as a way to incorporate saturation so scores can be summed to estimate a recipe's loss more accurately. This is a vendor-authored technical explanation, not independent validation of comparative performance.

Source: https://www.baseten.co/blog/what-makes-a-high-quality-nvfp4-quantization

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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