提交vllm0.11.0开发分支
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@@ -42,7 +42,7 @@ Online example:
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python -m vllm.entrypoints.openai.api_server \
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--host 0.0.0.0 \
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--port 8000 \
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--model /models/Qwen3-8B-Instruct\
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--model /models/Qwen3-8B\
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--gpu-memory-utilization 0.9 \
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--trust-remote-code \
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--max-model-len 32768 \
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@@ -52,9 +52,17 @@ python -m vllm.entrypoints.openai.api_server \
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--no-enable-chunked-prefill \
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--distributed-executor-backend mp \
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--served-model-name Qwen3-8B-Instruct \
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--compilation-config '{"splitting_ops": ["vllm.unified_attention_with_output_kunlun",
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"vllm.unified_attention", "vllm.unified_attention_with_output",
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"vllm.mamba_mixer2"]}' \
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--compilation-config '{"splitting_ops": ["vllm.unified_attention",
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"vllm.unified_attention_with_output",
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"vllm.unified_attention_with_output_kunlun",
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"vllm.mamba_mixer2",
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"vllm.mamba_mixer",
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"vllm.short_conv",
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"vllm.linear_attention",
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"vllm.plamo2_mamba_mixer",
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"vllm.gdn_attention",
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"vllm.sparse_attn_indexer"]}' \
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```
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