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[AI] (4) Use Open WebUI to call the DeepSeek-R1 model

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Posted on 2025-2-6 21:21:14 | | | |
Requirements: The DeepSeek-R1 model was deployed using ollama, and a dialog tool was used to call it, and the terminal was simply used for testing. You can install an Open WebUI panel to invoke models for conversation.

Review:

【AI】(3) Tencent Cloud Deploys DeepSeek-R1 with HAI tutorial
https://www.itsvse.com/thread-10931-1-1.html

Open WebUI is a scalable, feature-rich, and user-friendly self-hosted AI platform designed to run completely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with a built-in RAG inference engine, making it a powerful solution for AI deployment.

GitHub address:The hyperlink login is visible.
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Environment Variable Configuration:The hyperlink login is visible.

Ubuntu 20.04 installs Docker containers

In this article, to deploy open-webui using Docker, you first need to install the Docker container, the installation command is as follows:


Ollama deploys the deepseek-r1:32b model

Run the following command:


Docker deploys Open WebUI

Since we already have Ollama installed natively and at the same time on a server, in/data/open-webuiCreate a new compose.yaml file below the folder, which reads:


Run the following command to start the container:


As shown below:



The firewall security group rule lets the TCP 3000 port go for a few moments, and then uses a browser to access it, as shown in the following figure:



For the first visit, set up the administrator account and password, as shown in the following figure:



Test the DeepSeek-R1 model dialog function as shown in the figure below:


(End)




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