Quick Guide: Deploy and Run DeepSeek-R1 Locally on openKylin!
As an openKylin user, you don’t want to miss this exclusive opportunity - a comprehensive guide on deploying and running the open-source DeepSeek-R1 model locally on openKylin. This step-by-step tutorial ensures a smooth installation process, helping you kickstart your exciting journey into AI technology. Follow along and get started now!
Step 1: Download and Install Ollama
You can install Ollama using one of the following methods:
● Method 1: Follow the official download guide on the Ollama website and run the command:
● Method 2: Download the Ollama project from GitHub, then extract it using the following command:
● Method 3: If network issues prevent downloading via the above methods, you can follow openKylin’s official WeChat account, reply with “ollama,” and receive a Baidu Cloud link for the download.
Step 2: Start the Ollama Service
Run the following command to start the Ollama service:
Then, open a new terminal window and verify whether the service has started successfully. It should display an output like the image below:
Step 3: Download, Install, and Run the DeepSeek-R1 Model
Run the following command to download, install, and launch the DeepSeek-R1 1.5B model:
Note: This guide uses the 1.5B model as an example. If your computer has higher performance capabilities, you can download and install a more advanced DeepSeek-R1 model for better results.
The official command for installation is as follows:
At this point, the DeepSeek-R1 model has been successfully deployed. Now, let’s test it with a sample question:
As shown, the locally deployed DeepSeek-R1 1.5B model on openKylin provides a detailed analysis and final answer in a short amount of time.
If you encounter any issues or have insights to share, feel free to leave a comment!
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