How To Download & Run DeepSeek R1 Locally? A Guide With Example

The Deepseek R1 was released in January 2025 and is based on DeepSeek v3 which is a default model used when we interact with the DeepSeek app.

R1 has gained populous traction due to its competitive numbers that surpassed Claude 3.5, GPT4o, OpenAI o1, and Deepseek v3.

It’s distill models are available to run on local device. Learn how to download and run deepseek r1 model effectively.

What Is Deepseek R1

Those who don’t know, Deepseek R1 is an highly efficient reasoning model aim for solving tasks that require advanced reasoning and deep problem-solving.

It is best for coding challenges that required regurgitating code and serious testing thousands of times.

This model can think long before answering your question or working on your task. Users can utilize this model on the web or on-the-go on the mobile app.

What Is Deepseek R1 Download Size

The download size of DeepSeek-R1 varies depending on the model version. The full DeepSeek-R1 model comprises 671 billion parameters which size is approximately 720 GB.

Whereas Distill version is smaller and appropriate for users with limited resources.

• DeepSeek-R1 Distill-Qwen-1.5B is 1.5 GB
• DeepSeek-R1 Distill-Qwen-7B is 4.68 GB
• DeepSeek-R1 Distill-Llama-8B is 4.92 GB
• DeepSeek-R1 Distill-Qwen-14B is 8 GB
• DeepSeek-R1 Distill-Qwen-32B is 16 GB
• DeepSeek-R1 Distill-Llama-70B is 35 GB

Ensure you must have above Intel i7 or AMD Ryzen 7 processor with equivalent or higher of 16 GB of RAM for running these models effectively and efficiently.

Downloading & Running Deepseek R1 Using Ollama

Ollama is a brilliant open source platform for deploying and running large language models locally. To run DeepSeek-R1 locally, you can use tools like Ollama, which facilitate the deployment of AI models on local machines.

1. Download Ollama on your system

Visit Ollama official website and hit download button to receive download link on your email address. Wait for the installation to be completed.

2. Download DeepSeek-R1

Open your terminal and execute the command. This command will download the DeepSeek-R1 model. The download time will vary based on your internet speed.

3. Verify Installation

After the download completes, verify the installation by running this command.

You should see Deepseek R1 listed among the available models.

4. Run DeepSeek-R1

Input this command to access run deepseek r1 locally.

You can now interact with DeepSeek-R1 locally. The response is highly depending on the specification of the hardware.

How To Access & Download Deepseek R1 On iPhone

Deepseek ai is available on the App Store. Respective users can access and download the app from website as well as app store marketplace. Once you download the application, sign-in with your account and tap “DeepThink R1” to enable reasoning model for complex tasks.

How To Use Deepseek R1 On Android

Individuals can run DeepSeek-R1 locally on their Android device using tools like Termux and Ollama.

1. Download and install the Termux app from a trusted source.

2. Open Termux and update packages.

pkg update && pkg upgrade

3. Install necessary dependencies.

pkg install proot-distro git

4. Install Debian Environment.

proot-distro install debian
proot-distro login debian

5. Install Ollama.

curl -fsSL https://ollama.com/install.sh | sh

6. Download DeepSeek-R1 Model.

ollama pull deepseek-r1:1.5b

7. Run DeepSeek-R1

ollama serve &
ollama run deepseek-r1:1.5b

Is Deepseek R1 Better Than Deepseek V3

Yes, Deepseek r1 is better than v3 because of number of reasons such as advanced reasoning, structured thought generation, and it’s resource intensive.

This doesn’t mean that v3 is subtle and it has no future. You can think of using deepseek v3 for straightforward queries. Deepseek r1 vs v3, usage is entirely depend on the nature of task to be carried.

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Bharat Kumar

Bharat is an editor and writer at The Next Tech. He focuses on sharing industry-first tech news and potential how-to(s) guides for a broad range of categories. Outside of his work, he received a Bachelor’s Degree in Business Administration, with a multitude of education certificates. He’s always up to learn new things, and a die-hard fan of Call of Duty Saga(s).

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