---
title: "How much GPU memory do DeepSeek distilled models need at longer context lengths?"  
description: "How much GPU memory do DeepSeek distilled models need at longer context lengths?"  
author: "Arnaud Simon"  
published: 2026-10-22  
updated: 2026-10-22  
canonical: https://www.mindstick.com/forum/162835/how-much-gpu-memory-do-deepseek-distilled-models-need-at-longer-context-lengths  
category: "Local Model Hardware"  
tags: ["DeepSeek", "Local AI", "GPU Memory", "quantization"]  
reading_time: 1 minute  

---

# How much GPU memory do DeepSeek distilled models need at longer context lengths?

I’m comparing DeepSeek distilled reasoning models for a local setup and keep finding memory estimates that don’t say what context length they assume. A model that loads successfully at a short context may need much more memory once the conversation gets longer.

For people running these models, what GPU memory have you needed for different quantizations at a context length you’d actually use? I’m trying to separate the model’s basic weight footprint from the extra memory required by the **KV cache**.


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Original Source: https://www.mindstick.com/forum/162835/how-much-gpu-memory-do-deepseek-distilled-models-need-at-longer-context-lengths

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