---
title: "Which DeepSeek R1 distill model is practical on a single GPU?"  
description: "Which DeepSeek R1 distill model is practical on a single GPU?"  
author: "Mariana Medina"  
published: 2026-10-21  
updated: 2026-10-21  
canonical: https://www.mindstick.com/forum/162704/which-deepseek-r1-distill-model-is-practical-on-a-single-gpu  
category: "Local LLMs"  
tags: ["DeepSeek", "Local LLMs", "GPU inference"]  
reading_time: 1 minute  

---

# Which DeepSeek R1 distill model is practical on a single GPU?

I want to run one of the **quantized R1 models** locally, but I’m unsure where the useful balance is between model size, VRAM, and response speed. I’d mostly use it for coding questions and math, not as a production service.

If you’ve tried different DeepSeek R1 distill sizes on a single GPU, which setup felt capable without being painfully slow? Please include the GPU and quantization level if you can; those details make comparisons much more useful.


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Original Source: https://www.mindstick.com/forum/162704/which-deepseek-r1-distill-model-is-practical-on-a-single-gpu

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