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[Docs] Fix get started and installation docs #428

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fix get started and installation docs
SamitHuang Dec 23, 2025
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update
SamitHuang Dec 23, 2025
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4 changes: 3 additions & 1 deletion docs/getting_started/installation/gpu/cuda.inc.md
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Expand Up @@ -20,9 +20,11 @@ Therefore, it is recommended to install vLLM and vLLM-Omni with a **fresh new**

vLLM-Omni is built based on vLLM. Please install it with command below.
```bash
uv pip install vllm==0.11.0 --torch-backend=auto
uv pip install vllm==0.12.0 --torch-backend=auto
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@congw729 congw729 Dec 23, 2025 •
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We don't have vllm-omni v0.12.0rc1 in pypi right now, which will lead to the problem Issue #402. We just fixed it yesterday, and we should only consider upgrading the document after we upload the latest version wheel.

```

**Note:** If you encounter attn errors after upgrading vllm to 0.12.0, you can uninstall or upgrade xformers manually since vllm 0.12.0 has deprecated xformers dependency.

#### Installation of vLLM-Omni

```bash
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5 changes: 4 additions & 1 deletion docs/getting_started/quickstart.md
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Expand Up @@ -17,9 +17,12 @@ For installation on GPU using pre-built-wheel:
```bash
uv venv --python 3.12 --seed
source .venv/bin/activate
uv pip install vllm==0.11.0 --torch-backend=auto
uv pip install vllm==0.12.0 --torch-backend=auto
uv pip install vllm-omni
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@congw729 congw729 Dec 23, 2025

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ditto

```

**Note:** If you encounter attn errors after upgrading vllm to 0.12.0, you can uninstall or upgrade xformers manually since vllm 0.12.0 has deprecated xformers dependency.

For additional details—including alternative installation methods, installation on NPU and other platforms — please see the installation guide in [installation](installation/README.md)

## Offline Inference
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