mirror of https://github.com/vllm-project/vllm.git
2c1bd848a6
Signed-off-by: fyabc <suyang.fy@alibaba-inc.com> Signed-off-by: Roger Wang <ywang@roblox.com> Co-authored-by: Roger Wang <136131678+ywang96@users.noreply.github.com> Co-authored-by: Roger Wang <ywang@roblox.com> Co-authored-by: Xiong Wang <wangxiongts@163.com> |
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| README.md | ||
| only_thinker.py | ||
README.md
Qwen2.5-Omni Offline Inference Examples
This folder provides several example scripts on how to inference Qwen2.5-Omni offline.
Thinker Only
# Audio + image + video
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.
VLLM_USE_V1=0 python examples/offline_inference/qwen2_5_omni/only_thinker.py -q use_audio_in_video
# Multiple audios
VLLM_USE_V1=0 python examples/offline_inference/qwen2_5_omni/only_thinker.py -q multi_audios
This script will run the thinker part of Qwen2.5-Omni, and generate text response.
You can also test Qwen2.5-Omni on a single modality:
# Process audio inputs
python examples/offline_inference/audio_language.py --model-type qwen2_5_omni
# Process image inputs
python examples/offline_inference/vision_language.py --modality image --model-type qwen2_5_omni
# Process video inputs
python examples/offline_inference/vision_language.py --modality video --model-type qwen2_5_omni