[Feat]upgrade vllm version [skip-ci] (#4022)
Signed-off-by: rongfu.leng <lenronfu@gmail.com> Co-authored-by: tzhouam <tzhouam@connect.ust.hk> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -19,10 +19,10 @@ uv venv --python 3.12 --seed
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source .venv/bin/activate
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# On CUDA
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uv pip install vllm==0.21.0 --torch-backend=auto
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uv pip install vllm==0.22.0 --torch-backend=auto
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# On ROCm
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uv pip install vllm==0.21.0+rocm721 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm721
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uv pip install vllm==0.22.0+rocm721 --extra-index-url https://wheels.vllm.ai/rocm/0.22.0/rocm721
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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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@@ -35,7 +35,7 @@ For additional installation methods — please see the [installation guide](inst
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!!! note
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It is important to install the same major & minor version of vLLM and vLLM Omni, otherwise things may not work as expected. If the versions are misaligned, you will see a warning when you import vLLM Omni.
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If you are seeing strange behavior with the `vllm` command not handling the `--omni` flag correctly, you most likely have a version mismatch with vLLM < `0.21.0` and vLLM Omni `0.21.0`, as vLLM Omni no longer hijacks the vLLM entrypoint. Updating vLLM should resolve this issue.
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If you are seeing strange behavior with the `vllm` command not handling the `--omni` flag correctly, you most likely have a version mismatch with vLLM < `0.22.0` and vLLM Omni `0.22.0`, as vLLM Omni no longer hijacks the vLLM entrypoint. Updating vLLM should resolve this issue.
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## Offline Inference
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