Running DeepSeek R1 Locally on Your Laptop Using Ollama

Discover how to run DeepSeek R1, a free, powerful reasoning model that's on par with OpenAI's o1, locally on your laptop using Ollama, making it easier than ever to leverage cutting-edge AI without the hefty price tag.

Introduction to DeepSeek R1

![Part 1 Image Alt Text](https://vidcap.xyz/uploads/LJMqT-FZOXs_screenshot_0.png "Part 1 Image Title） This is the caption for the image 1 DeepSeek R1 is an open-source reasoning model equivalent to OpenAI's o1 model, released by a Chinese AI research lab. This model has taken the AI world by storm, especially for those who pay $200 a month for similar services. In this article, we will explore how to use DeepSeek R1, both locally and for free.

Comparing DeepSeek R1 with OpenAI's o1 Model

Before diving into the setup process, let's take a quick look at some comparisons between DeepSeek R1 and OpenAI's o1 model. DeepSeek R1 has performed exceptionally well in math benchmarks, coding, and even surpasses OpenAI's o1 model in certain cases, such as Math 500. This makes DeepSeek R1 a powerful alternative to OpenAI's o1 model.

Setting Up Ollama to Run DeepSeek R1 Locally

This is the caption for the image 2 To run DeepSeek R1 locally, we will use Ollama. First, we need to download and install Ollama from their official website. Once installed, we can access the model section and select DeepSeek R1. DeepSeek R1 comes in various formats with different parameter counts, ranging from 1.5 billion to 671 billion. The choice of model depends on the available hardware and memory.

Choosing the Right Model and Hardware Requirements

This is the caption for the image 3 Each model has specific hardware requirements. For example, the 1.5 billion parameter model requires around 8GB of memory, while the 70 billion parameter model needs at least 128GB of memory. It's essential to choose a model that matches your hardware capabilities to ensure smooth performance.

Running DeepSeek R1 Locally

Once we have chosen our model, we can run the command to download and set up DeepSeek R1. The download process may take some time, depending on the internet speed. After the model is downloaded, we can start interacting with it by typing in any message or question. DeepSeek R1 will display its thinking process, and we can see how it arrives at its final output.

Using DeepSeek R1 for Free

This is the caption for the image 4 If running DeepSeek R1 locally is not feasible due to hardware limitations, we can use it for free on the chat.deepseek.com website. This website allows us to interact with DeepSeek R1 directly, without the need for local installation. However, keep in mind that any input provided will be used to train their model, so it's essential not to share sensitive information.

Conclusion

Running DeepSeek R1 locally on your laptop using Ollama provides an exciting opportunity to leverage cutting-edge AI technology without incurring significant costs. With its impressive performance and various model options, DeepSeek R1 is an attractive alternative to OpenAI's o1 model. Whether you choose to run it locally or use it for free on the DeepSeek website, DeepSeek R1 is definitely worth exploring for anyone interested in AI and machine learning.