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Open WebUI

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in RAG capabilities, making it a powerful AI deployment solution.

To get started with Open WebUI using vLLM, follow these steps:

  1. Install the Docker.

  2. Start the vLLM server with a supported chat completion model:

    vllm serve Qwen/Qwen3-0.6B-Chat

    Note

    When starting the vLLM server, be sure to specify the host and port using the --host and --port flags. For example:

    python -m vllm.entrypoints.openai.api_server --host 0.0.0.0 --port 8000

  3. Start the Open WebUI Docker container:

    docker run -d \
    --name open-webui \
    -p 3000:8080 \
    -v open-webui:/app/backend/data \
    -e OPENAI_API_BASE_URL=http://0.0.0.0:8000/v1 \
    --restart always \
    ghcr.io/open-webui/open-webui:main

  4. Open it in the browser: http://open-webui-host:3000/

    At the top of the page, you should see the model Qwen/Qwen3-0.6B-Chat.

    Web portal of model Qwen/Qwen3-0.6B-Chat