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@@ -13,25 +13,18 @@ vLLM-Omni uses `uv` as the environment manager, to create and manage Python envi
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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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### Development Environment for vLLM
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vLLM-Omni is built on top of the stable release 0.12.0 of vLLM. You may install `vllm==0.12.0` directly or install the library from source if you need to check, modify or debug with source code of vLLM.
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### Development Environment for vLLM and vLLM-Omni
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The release 0.12.0 of vLLM is based on PyTorch 2.9.0 which requires CUDA 12.9 environment.
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### Development Environment for vLLM-Omni
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Install vLLM-Omni from source with development dependencies:
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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 ".[dev]"
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```
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vLLM-Omni is quickly evolving, please see the [installation guide](../getting_started/installation/README.md) for details. It's recommended to build from source to provide the latest development environment.
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!!! tip
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vLLM-Omni is compatible with Python versions 3.10 to 3.12. However, we recommend developing with Python 3.12 to minimize the chance of your local environment clashing with our CI environment.
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### Adding a new model to vLLM-Omni
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Please check [model implementation](model/README.md) for how to add diffusion and omni-modality models to vLLM-Omni.
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### Linting
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vLLM-Omni uses `pre-commit` to lint and format the codebase. See [pre-commit documentation](https://pre-commit.com/#usage) if `pre-commit` is new to you. Setting up `pre-commit` is as easy as:
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