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Update docs/source/tutorials/Qwen3-235B.md
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: xuyexiong <[email protected]>
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docs/source/tutorials/Qwen3-235B.md

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@@ -162,7 +162,7 @@ Take the `serve` as an example. Run the code as follows.
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```shell
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export VLLM_USE_MODELSCOPE=true
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vllm bench serve --model vllm-ascend/wen3-235B-A22B-w8a8 --dataset-name random --random-input 200 --num-prompt 200 --request-rate 1 --save-result --result-dir ./
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vllm bench serve --model vllm-ascend/Qwen3-235B-A22B-w8a8 --dataset-name random --random-input 200 --num-prompt 200 --request-rate 1 --save-result --result-dir ./
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```
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After about several minutes, you can get the performance evaluation result.

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