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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

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[Docs] Add intro and fix 1-2-3 list in frameworks/open-webui.md (#19199)

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

Michael Yao committed Jul 16, 2025 at 21:11 UTC 260127ea5496091c3d10ceb2a4ead96e06606fe7
2 files changed +33 -17
docs/assets/deployment/open_webui.png
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docs/deployment/frameworks/open-webui.md
+33 -17
@@ -1,26 +1,42 @@
1 # Open WebUI
2
3 -1. Install the [Docker](https://docs.docker.com/engine/install/)
3 +[Open WebUI](https://github.com/open-webui/open-webui) is an extensible, feature-rich,
4 +and user-friendly self-hosted AI platform designed to operate entirely offline.
5 +It supports various LLM runners like Ollama and OpenAI-compatible APIs,
6 +with built-in RAG capabilities, making it a powerful AI deployment solution.
7
5 -2. Start the vLLM server with the supported chat completion model, e.g.
8 +To get started with Open WebUI using vLLM, follow these steps:
9
7 -```bash
8 -vllm serve qwen/Qwen1.5-0.5B-Chat
9 -```
10 +1. Install the [Docker](https://docs.docker.com/engine/install/).
11
11 -1. Start the [Open WebUI](https://github.com/open-webui/open-webui) docker container (replace the vllm serve host and vllm serve port):
12 +2. Start the vLLM server with a supported chat completion model:
13
13 -```bash
14 -docker run -d -p 3000:8080 \
15 ---name open-webui \
16 --v open-webui:/app/backend/data \
17 --e OPENAI_API_BASE_URL=http://<vllm serve host>:<vllm serve port>/v1 \
18 ---restart always \
19 -ghcr.io/open-webui/open-webui:main
20 -```
14 + ```console
15 + vllm serve Qwen/Qwen3-0.6B-Chat
16 + ```
17
22 -1. Open it in the browser: <http://open-webui-host:3000/>
18 + !!! note
19 + When starting the vLLM server, be sure to specify the host and port using the `--host` and `--port` flags.
20 + For example:
21
24 -On the top of the web page, you can see the model `qwen/Qwen1.5-0.5B-Chat`.
22 + ```console
23 + python -m vllm.entrypoints.openai.api_server --host 0.0.0.0 --port 8000
24 + ```
25
26 -![](../../assets/deployment/open_webui.png)
26 +3. Start the Open WebUI Docker container:
27 +
28 + ```console
29 + docker run -d \
30 + --name open-webui \
31 + -p 3000:8080 \
32 + -v open-webui:/app/backend/data \
33 + -e OPENAI_API_BASE_URL=http://0.0.0.0:8000/v1 \
34 + --restart always \
35 + ghcr.io/open-webui/open-webui:main
36 + ```
37 +
38 +4. Open it in the browser: <http://open-webui-host:3000/>
39 +
40 + At the top of the page, you should see the model `Qwen/Qwen3-0.6B-Chat`.
41 +
42 + ![Web portal of model Qwen/Qwen3-0.6B-Chat](../../assets/deployment/open_webui.png)