---
title: "Discussion on \"How to Run an LLM as Powerful as DeepSeek R1 Locally with LM Studio With Just 24 GB VRAM\" | Hashnode"
description: "Discussion on \"How to Run an LLM as Powerful as DeepSeek R1 Locally with LM Studio With Just 24 GB VRAM\". How Powerful Can A Local LLM Actually Be, With Just 24 GB VRAM?"
url: "https://hashnode.com/posts/how-to-run-an-llm-as-powerful-as-deepseek-r1-locally-with-lm-studio-with-just-24-gb-vram/67d7e420906471908a31a6c0"
---

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# [How to Run an LLM as Powerful as DeepSeek R1 Locally with LM Studio With Just 24 GB VRAM](https://thomascherickal.hashnode.dev/how-to-run-an-llm-as-powerful-as-deepseek-r1-locally-with-lm-studio-with-just-24-gb-vram?utm_source=hashnode&utm_medium=feed)

How Powerful Can A Local LLM Actually Be, With Just 24 GB VRAM?

Mar 17, 2025 · 10 min read · thomascherickal.hashnode.dev  
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-   [#24-gb-vram](https://hashnode.com/tag/24-gb-vram)
-   [#qwen-qwq](https://hashnode.com/tag/qwen-qwq)
-   [#local-llm](https://hashnode.com/tag/local-llm)
-   [#deepseek-v3](https://hashnode.com/tag/deepseek-v3)
-   [#llms](https://hashnode.com/tag/llms)
-   [#large-language-models](https://hashnode.com/tag/large-language-models)
-   [#quantization](https://hashnode.com/tag/quantization)
-   [#lm-studio](https://hashnode.com/tag/lm-studio)

## Written by

[Thomas Cherickal - Generative AI Consultant](https://hashnode.com/@thomascherickal)

@thomascherickal · Remote

  
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The | Gen AI | Agents | Assistants | Local AI | SLMs | LLMs | Playbook.

I am a Generative AI Consultant who writes about what interests me and my AI development work. Available for Enterprise Training in AI.

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