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[Feat]upgrade vllm version

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Signed-off-by: rongfu.leng <lenronfu@gmail.com>
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rongfu.leng committed 2026-05-31 15:44:08 +00:00
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docs/getting_started/installation/gpu/rocm.inc.md
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@@ -13,7 +13,7 @@ vLLM-Omni current recommends the steps in under setup through Docker Images.
vLLM-Omni is built based on vLLM. Please install it with command below.
```bash
uv pip install vllm==0.21.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm722
uv pip install vllm==0.22.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm722
```
#### Installation of vLLM-Omni
@@ -37,7 +37,7 @@ uv pip install onnxruntime-rocm
If you do not need to modify source code of vLLM, you can directly install the stable 0.21.0 release version of the library
```bash
uv pip install vllm==0.21.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm722
uv pip install vllm==0.22.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm722
```
The pre-built 0.21.0 vLLM wheel targets ROCm 7.2.2. If you need a different ROCm stack or want to reuse an existing PyTorch installation, build vLLM from source instead.