[2025 Guide] How to Run DeepSeek Locally Without Any Coding

Want to run DeepSeek R1 locally without any coding? This 2025 guide shows you the easiest way to install and use DeepSeek on your own device. Whether you're on Windows, Mac, or Linux, you'll learn how to pick the right version, install it in one click, and keep all your data private.

If you've been using open-source AI tools like DeepSeek, you've probably wondered: Is my data really safe? That's where running DeepSeek locally comes in. Instead of sending your private chats to the cloud, you can keep everything on your own device.

Apart from data privacy, what else sets DeepSeek Local apart from the online version? Let's break it down:

Nut Studio

Run DeepSeek R1 with one-click with Nut Studio. No coding, No limits.

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Key Takeaways:

• DeepSeek local keeps your data private, works offline, and has no cloud fees. It needs good hardware and some setup. Online DeepSeek is easier to use but depends on the internet and sends your data to the cloud.
• If you want privacy and to customize AI with your own data, run DeepSeek locally. It's great for developers and privacy fans. For casual users, the online version is simpler but less private.

If you want to run DeepSeek-R1 locally, you might see many versions and feel confused. Each version has a different size and power. Picking the right one depends on what you want to do and your computer's strength.

Here is a simple guide to help you choose the best DeepSeek R1 local model for your needs:

* The number after the version name (like 1.5B or 70B) shows how many parameters the model has. More parameters mean a stronger model but also need more hardware power.

Key Takeaways:

• Stick with 1.5B or 7B if you want fun chats, basic Q&A, or quick text work—your laptop or entry-level desktop can easily handle these models.
• The 14B model gives you solid performance for writing longer text or more in‑depth answers. Most modern PCs with mid‑range GPUs can run it comfortably.
• 32B and 70B models are not realistic for most home users—these require beefy multi‑GPU rigs with dozens of GBs of VRAM. As one Reddit user said:

"To run 70B at a decent quant, you'd want at least 48 GB VRAM… consider building a PC with 2 x used 3090"

Nut Studio is a free tool for local LLMs. It offers the easiest way to install DeepSeek R1—just download, click once, and you're set. No tech skills needed. In minutes, you'll be running your own DeepSeek R1 model on your PC. You can build a custom knowledge base, and your data stays 100% on your device. Nut Studio currently supports Windows only. Mac or Linux users can use Ollama to run DeepSeek locally.

Key Features:

• Download and launch 20+ top LLMs like Llama, Mistral, Gemma.
• Easy setup with no coding, perfect for beginners and pros.
• No internet required. Use DeeepSeek anytime, anywhere, completely offline.
• Your data stays on your device. Nothing is uploaded or tracked.

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Step 1 Donwload and Install Nut Studio.

Step 2 Open the top control bar, press the "Select model to start a chat", and pick a DeepSeek R1 version to install.

Step 3 Wait a minute—then start chatting and customizing your DeepSeek R1 model. Everything runs locally, and your data stays private.

Want to install DeepSeek locally on a Mac or Linux system? Try Ollama — a simple yet powerful tool for running large language models (LLMs) on your device. It supports DeepSeek R1 models from 1.5B all the way up to 70B parameters. Best of all, it works across macOS, Linux, and Windows.

Step 1 Visit ollama.com and choose your OS to download the installer.

For macOS, it comes as a .zip file — double-click to unzip, then move the Ollama app to your Applications folder.

Step 2 Check the installation

Open Terminal and run the following command to check if Ollama is installed:

ollama --version

If it returns the version number, you're good to go.

Step 3 Install and run DeepSeek R1

Go to the Ollama model library and choose a DeepSeek R1 version that matches your hardware. Then, in the terminal, run:

ollama run deepseek-r1:7b

Step 4 Ollama will download and launch the model. Once installed, you can start chatting directly in your terminal.

Note

Ollama runs in the command line and doesn't come with a GUI. If you're on Windows, we recommend using Nut Studio, which provides a full chat interface and auto hardware detection for DeepSeek deployment.

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Download deepseek R1 and run locally on a PC gives you full control over your AI model, but not every version runs on every device. Each version—from the lightweight 1.5B to the massive 32B—has different hardware needs. Below is a clear breakdown of the minimum and recommended system requirements for each DeepSeek R1 version across Windows, macOS, and Linux. If you're unsure what your PC can handle, scroll down for a simple solution.

Local DeepSeek R1 1.5B — System Requirements

Local DeepSeek R1 7B/8B — System Requirements

Local DeepSeek R1 14B — System Requirements

Local DeepSeek R1 32B — System Requirements

Source from CSDN

Key Takeaways:

• Small models (1.5B–7B) run smoothly on most gaming desktops with 8–32 GB RAM and an RTX 3060 or better GPU. These are great for students, casual users, or anyone trying LLMs for the first time.
• Mid-range models (8B–14B) need more power—3080+ GPUs and up to 64 GB RAM. Ideal for educators, researchers, or AI enthusiasts looking to do deeper work.
• Large models (32B+) are not practical for personal PCs. They require enterprise-level GPUs and 128–256 GB RAM, so they're best for labs, cloud deployments, or enterprise teams.
• Quantized models can lower hardware needs while keeping solid performance—handy for home setups or lightweight machines.

Not sure which DeepSeek R1 version your device can support?

Nut Studio can automatically detect your hardware and recommend compatible models.

No need to check specs manually — just install and run the right version with one click.

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1 Is running DeepSeek locally safe?

Yes. Running DeepSeek locally is secure because everything stays on your own device. Your data never gets uploaded to the cloud. This makes it a safer option—especially when building a private knowledge base with personal or sensitive files.

2 Is DeepSeek free to run locally?

Yes, DeepSeek R1 models are free to download and run locally, thanks to their open-source licenses. You don't need to pay for the models themselves. But remember—running DeepSeek locally may cost electricity and depends on your hardware power (especially GPU and RAM). Tools like Nut Studio let you deploy DeepSeek without coding or extra setup fees.

3 Can you use DeepSeek without internet?

Yes, once DeepSeek R1 is installed, it runs fully offline. You can chat, fine-tune, and run prompts with no internet connection. This is ideal if you care about data privacy or just want an AI assistant that works without cloud access.

4 What GPU do you need to run DeepSeek?

That depends on which DeepSeek R1 version you want. For example:

• 1.5B: GTX 1650 or better
• 7B: RTX 3060 or better
• 14B: RTX 3080 or 3090
• 32B+: Requires A100 or multiple GPUs

You can check our full comparison table above. If you're unsure, Nut Studio can auto-detect your setup and suggest the best DeepSeek model your PC can handle.

5 Do you need a GPU to run DeepSeek?

No, not always. Some smaller models (like DeepSeek R1 1.5B) can run on CPU only, though performance will be slower. For real-time response or smooth use, a dedicated GPU is recommended.

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Article by

Aaron Smith

Aaron brings over a decade of experience in crafting SEO-optimized content for tech-focused audiences. At Nut Studio, he leads the blog’s content strategy and focuses on the evolving intersection of AI and content creation. His work dives deep into topics like large language models (LLMs) and AI deployment frameworks, turning complex innovations into clear, actionable guides that resonate with both beginners and experts.