Deploying powerful models like DeepSeek-R1 directly on your machine has transformed the way developers, researchers, and AI enthusiasts interact with large language models. Running LLMs locally grants complete control over data privacy and security while unlocking their full capabilities without external limitations.
Here I will share some effective methods to install DeepSeek-R1 on Mac, Windows, or Linux. Choose the installation method that best suits your hardware and workflow to optimize performance.
How to Install DeepSeek-R1 AI Locally on Windows PC
Installing DeepSeek-R1 Using LM Studio
Step 1: Download and install LM Studio version 0.3.0 or later on your device. You can download the file from the official website.
Step 2: Once the download is complete, run the .exe file and follow the installation process. It only takes a few seconds to set up.
Step 3: After installation, open LM Studio and click on the “Search” icon. Locate “DeepSeek R1 Distill (Qwen 7B)” and tap the “Download” button. Since the file size is approximately 4.5GB, the download process may take some time.
Step 4: Once the download is finished, go to the “Chat” icon and select “Select a model to load” (or press CTRL+L). Choose DeepSeek R1 and click “Load Model.”
You can now run DeepSeek-R1 locally. If you encounter any errors, revisit Step 4 and adjust the “GPU offload” slider to the minimum or zero. This should resolve any issues and ensure smooth operation.
Running DeepSeek-R1 Locally with Ollama
Step 1: Download and install Ollama on your device. The installation file can be found on the official website.
Step 2: After installation, a terminal window will open automatically. Copy and paste the following command into the terminal, then press Enter:
ollama run deepseek-r1:1.5b
Step 3: Once the setup is complete, you can start interacting with DeepSeek-R1 directly through the terminal. To exit the session, simply close the terminal or press CTRL+D.
Benefits of Running DeepSeek AI Locally
Running DeepSeek AI on your own device comes with several key advantages. One of the most significant benefits is data privacy and security. Since all data remains stored locally, you have complete control over it, eliminating the risk of third-party access.
Another major advantage is the ability to use the AI without an internet connection. This means you can access its capabilities anytime, anywhere, without relying on external servers. Additionally, local deployment enhances performance and response time, as there is no network latency affecting interactions.
These two methods provide a straightforward way to install and run DeepSeek-R1 locally on your device. However, since the model operates offline without internet access, its responses may sometimes be inaccurate or outdated. It is best suited for general-purpose tasks rather than fact-checking or advanced research.