vllm-omni/examples/online_serving/minicpmo

vLLM-Omni · MiniCPM-o 4.5 Online Demo

Gradio-based web UI for MiniCPM-o 4.5 served via vllm-omni's OpenAI-compatible endpoints.

The UI supports:

• Inputs: text prompt + optional image, audio (file or mic), video.
• Outputs: text + speech (WAV player).

1. Start the backend server

The deploy config auto-loads via --omni; the default vllm_omni/deploy/minicpmo_4_5.yaml targets a 2-GPU layout (thinker on GPU 0, talker + t2w sharing GPU 1). For other hardware layouts pick one of the deploy variants below.

deploy config	GPUs	Notes
minicpmo_4_5.yaml (default)	2	Thinker on GPU0, talker+t2w on GPU1.
minicpmo_4_5_3gpu.yaml	3	Thinker 2-way TP on GPU0/1, talker+t2w share GPU2.
minicpmo_4_5_8x4090.yaml	8	Full 8x4090 layout.

Default (2-GPU):

vllm serve openbmb/MiniCPM-o-4_5 --omni \
    --trust-remote-code \
    --host 0.0.0.0 --port 8099

Other layouts via --deploy-config:

vllm serve openbmb/MiniCPM-o-4_5 --omni \
    --deploy-config vllm_omni/deploy/minicpmo_4_5_8x4090.yaml \
    --trust-remote-code \
    --host 0.0.0.0 --port 8099

2. Launch the Gradio demo

bash examples/online_serving/minicpmo/run_gradio_demo.sh

# Or run the python entry point directly:
python examples/online_serving/minicpmo/gradio_demo.py \
    --minicpmo45-api-base http://localhost:8099/v1 \
    --minicpmo45-model openbmb/MiniCPM-o-4_5 \
    --port 7862

Open http://<host>:7862 in a browser.

Notes

• TTS trigger: the demo sets extra_body.chat_template_kwargs.use_tts_template=True, which appends <|tts_bos|> to the assistant prefix.
• Uncheck "Generate speech output (TTS)" to get text-only responses (faster).
• The audio output is the raw WAV returned by the stage-1 talker + Token2Wav; sample rate is 24 kHz.
• Video input is forwarded as a base64 video_url entry; the server needs decord/torchvision to decode it.