This content originally appeared on DEV Community and was authored by Pavan Belagatti
DeepSeek-R1 has been creating quite a buzz in the AI community. Developed by a Chinese AI company DeepSeek, this model is being compared to OpenAI's top models. The excitement around DeepSeek-R1 is not just because of its capabilities but also because it is open-sourced, allowing anyone to download and run it locally. In this blog, I'll guide you through setting up DeepSeek-R1 on your machine using Ollama.
Why DeepSeek-R1?
DeepSeek-R1 stands out for several reasons. Not only is it cheaper than many other models, but it also excels in problem-solving, reasoning, and coding. Its built-in chain of thought reasoning enhances its efficiency, making it a strong contender against other models. Let's dive into how you can get this model running on your local system.
Getting Started with Ollama
Before we begin, let's discuss Ollama. Ollama is a free, open-source tool that allows users to run Natural Language Processing models locally. With Ollama, you can easily download and run the DeepSeek-R1 model.
Here's how you can get started:
Step 1: Install Ollama
First, you'll need to download and install Ollama. Visit the Ollama website and download the version that matches your operating system.
Follow the installation instructions provided on the site.
Step 2: Download DeepSeek-R1
Once Ollama is installed, open your terminal and type the following command to download the DeepSeek-R1 model:
ollama run deepseek-r1
This command tells Ollama to download the model. Depending on your internet speed, this might take some time. Grab a coffee while it completes!
Step 3: Verify Installation
After downloading, verify the installation by running:
ollama list
You should see deepseek-r1 in the list of available models. If you do, great job! You're ready to run the model.
Step 4: Run DeepSeek-R1
Now, let's start the model using the command:
ollama run deepseek-r1
And just like that, you're interacting with DeepSeek-R1 locally. It's that simple!
Below is a complete step-by-step video of using DeepSeek-R1 for different use cases.
My first impression about DeepSeek-R1 is just mind blowing:)
This content originally appeared on DEV Community and was authored by Pavan Belagatti
Pavan Belagatti | Sciencx (2025-01-29T05:27:40+00:00) Run DeepSeek-R1 Locally for Free in Just 3 Minutes!. Retrieved from https://www.scien.cx/2025/01/29/run-deepseek-r1-locally-for-free-in-just-3-minutes/
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