Hongsheng LiuandRoger Wang
0c245dd1f9
Signed-off-by: hsliu <liuhongsheng4@huawei.com> Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com> Co-authored-by: Roger Wang <hey@rogerw.io>
39 lines
974 B
Markdown
39 lines
974 B
Markdown
# Offline Example of vLLM-Omni for Qwen3-Omni
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## 🛠️ Installation
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Please refer to [README.md](../../../README.md)
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## Run examples (Qwen3-Omni)
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### Multiple Prompts
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Download dataset from [seed_tts](https://drive.google.com/file/d/1GlSjVfSHkW3-leKKBlfrjuuTGqQ_xaLP/edit). For processing dataset please refer to [Qwen2.5-Omni README.md](../qwen2_5_omni/README.md)
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Get into the example folder
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```bash
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cd examples/offline_inference/qwen3_omni
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```
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Then run the command below.
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```bash
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bash run_multiple_prompts.sh
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```
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### Single Prompt
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Get into the example folder
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```bash
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cd examples/offline_inference/qwen3_omni
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```
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Then run the command below.
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```bash
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bash run_single_prompt.sh
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```
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If you have not enough memory, you can set thinker with tensor parallel. Just run the command below.
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```bash
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bash run_single_prompt_tp.sh
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```
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### FAQ
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If you encounter error about backend of librosa, try to install ffmpeg with command below.
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```
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sudo apt update
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sudo apt install ffmpeg
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```
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