56 lines
1.0 KiB
Markdown
56 lines
1.0 KiB
Markdown
# Quickstart
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This guide will help you get started with vLLM-omni.
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## Installation
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Use Docker to keep consistent basic environment (Optional, Recommended)
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```bash
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docker run --gpus all --ipc=host --network=host -v $source_dir:$container_dir --rm --name $container_name -it nvcr.io/nvidia/pytorch:25.01-py3 bash
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```
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Set up basic uv environment
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```bash
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pip install uv
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uv venv --python 3.12 --seed
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source .venv/bin/activate
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```
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Install vLLM
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```bash
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uv pip install vllm==0.11.0 --torch-backend=auto
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```
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Install vLLM-omni
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```bash
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git clone https://github.com/vllm-project/vllm-omni.git
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cd vllm_omni
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uv pip install -e .
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```
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## Run examples (Qwen2.5-omni)
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Get into the example folder
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```bash
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cd examples/offline_inference/qwen_2_5_omni
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```
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Then run.
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```bash
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bash run.sh
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```
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The output audio is saved in ./output_audio
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## Next Steps
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- Read the [architecture documentation](../../contributing/design_documents/vllm_omni_design.md)
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- Check out the [API reference](../../api/overview.md)
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- Explore the [examples](../examples/index.md)
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