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[Doc] Show that use_audio_in_video is supported in docs #30837

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vllm-bot merged 2 commits into from
Jan 6, 2026
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[Doc] Show that use_audio_in_video is supported in docs #30837

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[Doc] Show that `use_audio_in_video` is supported in docs
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3 changes: 0 additions & 3 deletions docs/models/supported_models.md
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Expand Up @@ -767,9 +767,6 @@ Some models are supported only via the [Transformers modeling backend](#transfor
The official `openbmb/MiniCPM-V-2` doesn't work yet, so we need to use a fork (`HwwwH/MiniCPM-V-2`) for now.
For more details, please see: <https://github.com/vllm-project/vllm/pull/4087#issuecomment-2250397630>

!!! note
For Qwen2.5-Omni and Qwen3-Omni, reading audio from video pre-processing (`--mm-processor-kwargs '{"use_audio_in_video": true}'`) is currently work in progress and not yet supported.

#### Transcription

Speech2Text models trained specifically for Automatic Speech Recognition.
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1 change: 0 additions & 1 deletion examples/offline_inference/qwen2_5_omni/README.md
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Expand Up @@ -10,7 +10,6 @@ python examples/offline_inference/qwen2_5_omni/only_thinker.py \
-q mixed_modalities

# Read vision and audio inputs from a single video file
# NOTE: V1 engine does not support interleaved modalities yet.
python examples/offline_inference/qwen2_5_omni/only_thinker.py \
-q use_audio_in_video

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2 changes: 0 additions & 2 deletions vllm/model_executor/models/qwen2_5_omni_thinker.py
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Expand Up @@ -1128,8 +1128,6 @@ def embed_multimodal(self, **kwargs: object) -> MultiModalEmbeddings:
multimodal_embeddings += tuple(audio_embeddings)
return multimodal_embeddings

# TODO (ywang96): support overlapping modality embeddings so that
# `use_audio_in_video` will work on V1.
def embed_input_ids(
self,
input_ids: torch.Tensor,
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2 changes: 0 additions & 2 deletions vllm/model_executor/models/qwen3_omni_moe_thinker.py
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Expand Up @@ -1371,8 +1371,6 @@ def embed_input_ids(
return inputs_embeds

deepstack_input_embeds = None
# TODO (ywang96): support overlapping modalitiy embeddings so that
# `use_audio_in_video` will work on V1.
# split the feat dim to obtain multi-scale visual feature
has_vision_embeddings = [
embeddings.shape[-1] != self.config.text_config.hidden_size
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