[CI/Build] Replace vllm.entrypoints.openai.api_server entrypoint with vllm serve command (#25967)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk> Signed-off-by: yewentao256 <zhyanwentao@126.com>
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@ -661,8 +661,7 @@ Benchmark the performance of multi-modal requests in vLLM.
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Start vLLM:
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```bash
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python -m vllm.entrypoints.openai.api_server \
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--model Qwen/Qwen2.5-VL-7B-Instruct \
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vllm serve Qwen/Qwen2.5-VL-7B-Instruct \
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--dtype bfloat16 \
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--limit-mm-per-prompt '{"image": 1}' \
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--allowed-local-media-path /path/to/sharegpt4v/images
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@ -688,8 +687,7 @@ vllm bench serve \
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Start vLLM:
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```bash
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python -m vllm.entrypoints.openai.api_server \
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--model Qwen/Qwen2.5-VL-7B-Instruct \
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vllm serve Qwen/Qwen2.5-VL-7B-Instruct \
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--dtype bfloat16 \
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--limit-mm-per-prompt '{"video": 1}' \
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--allowed-local-media-path /path/to/sharegpt4video/videos
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@ -39,8 +39,7 @@ Refer to <gh-file:examples/offline_inference/simple_profiling.py> for an example
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```bash
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VLLM_TORCH_PROFILER_DIR=./vllm_profile \
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python -m vllm.entrypoints.openai.api_server \
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--model meta-llama/Meta-Llama-3-70B
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vllm serve meta-llama/Meta-Llama-3-70B
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```
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vllm bench command:
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