---
title: "How much does 4-bit quantization affect DeepSeek’s extraction accuracy?"  
description: "How much does 4-bit quantization affect DeepSeek’s extraction accuracy?"  
author: "Dmitry Belov"  
published: 2026-10-15  
updated: 2026-10-15  
canonical: https://www.mindstick.com/forum/162387/how-much-does-4-bit-quantization-affect-deepseek-s-extraction-accuracy  
category: "DeepSeek"  
tags: ["DeepSeek", "quantization", "Local LLMs"]  
reading_time: 1 minute  

---

# How much does 4-bit quantization affect DeepSeek’s extraction accuracy?

I’m considering running a quantized DeepSeek model locally for structured extraction from support tickets. Speed and memory use matter, but a few missed fields could be more costly than slower inference.

For people who have compared quantized and higher-precision versions, what changed on your real workload? I’m wondering which measurements caught quality loss best—exact field matches, valid output rates, or a manual review of borderline examples—and whether the effect differed much between fields.


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Original Source: https://www.mindstick.com/forum/162387/how-much-does-4-bit-quantization-affect-deepseek-s-extraction-accuracy

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