[Benchmark][MiniCPM-o] Add Omni-DuplexEval support (#6634)

Signed-off-by: Zhanshenzhui <99891002+zyforsure@users.noreply.github.com>
Co-authored-by: amy-why-3459 <wuhaiyan17@huawei.com>
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Zhanshenzhuiandamy-why-3459 authored and GitHub committed 2026-08-27 16:31:50 +08:00
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@@ -192,6 +192,64 @@ stronger `response-required` mode is diagnostic: it requires a purpose-built
two-response WAV, its `--input-sha256`, and an
`--expect-second-response-substring` value.
## Run Omni-DuplexEval
Omni-DuplexEval generation uses the vLLM-Omni native MiniCPM-o duplex
endpoint. Evaluation uses a separate OpenAI-compatible multimodal judge
served from the same vLLM-Omni environment. This validates the vLLM-Omni
duplex client and local judge integration; it does not reproduce the paper's
original MiniCPM-o inference implementation.
Start the duplex generation server:
```bash
vllm serve openbmb/MiniCPM-o-4_5 --omni --trust-remote-code \
--deploy-config vllm_omni/deploy/minicpmo_4_5_duplex.yaml \
--served-model-name openbmb/MiniCPM-o-4_5 \
--host 0.0.0.0 --port 8099
```
Start a separate multimodal judge. The allowed path must contain any local
videos passed with `--judge-video-mode video_url`:
```bash
vllm serve Qwen/Qwen2.5-VL-7B-Instruct \
--served-model-name Qwen/Qwen2.5-VL-7B-Instruct \
--allowed-local-media-path /data/omni-duplex-eval \
--host 0.0.0.0 --port 8000
```
Generate, evaluate, and summarize:
```bash
vllm bench omni-duplex-eval --omni generate \
--url ws://127.0.0.1:8099/v1/realtime?duplex=1 \
--model openbmb/MiniCPM-o-4_5 \
--ref-audio /data/ref.wav \
--dataset Hothan/Omni-DuplexEval \
--concurrency 2 \
--response-root /data/omni-duplex-eval/responses
vllm bench omni-duplex-eval --omni evaluate \
--dataset Hothan/Omni-DuplexEval \
--response-root /data/omni-duplex-eval/responses \
--score-root /data/omni-duplex-eval/scores \
--judge-base-url http://127.0.0.1:8000 \
--judge-model Qwen/Qwen2.5-VL-7B-Instruct \
--judge-video-mode video_url \
--eval-workers 4
vllm bench omni-duplex-eval --omni summarize \
--score-root /data/omni-duplex-eval/scores
```
The dataset names such as `RTD_OCR` and `PR_correction` are Hugging Face
splits, not dataset configurations. Pass one with `--split`, or omit it to
run all nine splits. `--limit 1` is useful for a smoke test. Realtime
generation records `clock=media`; artifacts generated with
`--pace as-fast-as-possible` record `clock=invalid` and evaluation rejects
them unless `--allow-invalid-clock` is explicit.
## Related examples
- [Offline MiniCPM-o inference](../../offline_inference/minicpmo/)