{"id":81490,"date":"2026-07-25T02:36:22","date_gmt":"2026-07-24T18:36:22","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/81490.html"},"modified":"2026-07-25T02:36:22","modified_gmt":"2026-07-24T18:36:22","slug":"%e5%a6%82%e4%bd%95%e4%b8%a4%e5%8f%b0atlas-a2%e6%9c%8d%e5%8a%a1%e5%99%a8%e7%89%a9%e7%90%86%e6%9c%ba%ef%bc%8c%e5%9f%ba%e4%ba%8evllm-ascend%e9%83%a8%e7%bd%b2qwen3-5-397b-w8a8-mtp%e5%a4%a7%e6%a8%a1","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/81490.html","title":{"rendered":"\u5982\u4f55\u4e24\u53f0atlas-a2\u670d\u52a1\u5668\u7269\u7406\u673a\uff0c\u57fa\u4e8evllm-ascend\u90e8\u7f72qwen3.5 397b-w8a8-mtp\u5927\u6a21\u578b"},"content":{"rendered":"

\u914d\u7f6e<\/h2>\n

\u4e24\u53f08*64\u7684\u6607\u817e910b4\u670d\u52a1\u5668\u7269\u7406\u673a，\u672a\u505a\u4efb\u4f55\u865a\u62df\u5316，\u5df2\u7ecf\u901a\u8fc7\u4ea4\u6362\u673a\u8fdb\u884c\u4e92\u8054<\/p>\n

\u6a21\u578b\u548c\u955c\u50cf\u4e0b\u8f7d<\/h2>\n

\u6a21\u578b：<\/p>\n

https:\/\/modelscope.cn\/models\/Eco-Tech\/Qwen3.5-35B-A3B-w8a8-mtp<\/p>\n

\u955c\u50cf（\u4e0d\u662fopeneuler\u7cfb\u7edf\u5c31\u4e0b\u4e0d\u5e26openeuler\u7684）：<\/p>\n

m.daocloud.io\/quay.io\/ascend\/vllm-ascend:v0.18.0rc1-openeuler<\/p>\n

\u9a71\u52a8：<\/p>\n

https:\/\/www.hiascend.com\/hardware\/firmware-drivers\/community?product=4&model=32&cann=8.5.1&driver=Ascend+HDK+25.5.2<\/p>\n

run\u6587\u4ef6\u5c31\u884c<\/p>\n

\u4e0a\u4f20\u4ee5\u4e0a\u6240\u6709\u6587\u4ef6\u5230\u670d\u52a1\u5668\u7684\u786c\u76d8\u4e0a<\/p>\n

\u670d\u52a1\u5668\u9a8c\u8d27：<\/h2>\n

\u5148\u5206\u522b\u67e5\u770b\u4e24\u53f0\u670d\u52a1\u5668\u7684npu\u72b6\u6001：<\/p>\n

#!\/bin\/bash<\/p>\n

# Check the remote switch ports
\n for i in {0..7}; do hccn_tool -i $i -lldp -g | grep Ifname; done
\n # Get the link status of the Ethernet ports (UP or DOWN)
\n for i in {0..7}; do hccn_tool -i $i -link -g ; done
\n # Check the network health status
\n for i in {0..7}; do hccn_tool -i $i -net_health -g ; done
\n # View the network detected IP configuration
\n for i in {0..7}; do hccn_tool -i $i -netdetect -g ; done
\n # View gateway configuration
\n for i in {0..7}; do hccn_tool -i $i -gateway -g ; done
\n # show ip addr
\n for i in {0..7}; do hccn_tool -i $i -ip -g | grep ipaddr; done
\n # View NPU network configuration
\n cat \/etc\/hccn.conf<\/p>\n

\u6ce8\u610f：\u5982\u679c\u8fd9\u91cc\u9762\u6709\u6267\u884c\u9519\u8bef\u5c31\u6ca1\u6cd5\u7ee7\u7eed\u90e8\u7f72，\u5fc5\u987b\u5148\u627e\u5382\u5bb6\u89e3\u51b3<\/span><\/p>\n

\u9a8c\u8bc1\u4e24\u8fb9\u7684\u901a\u4fe1：<\/p>\n

\u5206\u522b\u4ece\u4e24\u53f0\u4e3b\u673a\u7684 for i in {0..7}; do hccn_tool -i $i -ip -g | grep ipaddr; done\u6267\u884c\u7ed3\u679c\u4e2d\u627e\u7684\u627e\u51fanpu\u7684ip\u5730\u5740，\u4f7f\u7528\u5982\u4e0b\u547d\u4ee4\u8fdb\u884cping\u9a8c\u8bc1<\/p>\n

for i in {0..7};do hccn_tool -i 0 -ping -g address {\u5176\u4e2d\u4efb\u4e00npu\u7684ip};done <\/p>\n

\u5982\u679c\u6709ping\u4e0d\u901a，\u8bf4\u660e\u670d\u52a1\u5668pcie\u6216\u4ea4\u6362\u673a\u6709\u95ee\u9898，\u5fc5\u987b\u5148\u89e3\u51b3<\/span><\/p>\n

\u9a71\u52a8\u5b89\u88c5：<\/h2>\n

\u56e0\u4e3a\u662f\u4f7f\u7528docker\u955c\u50cf\u5b89\u88c5，\u6240\u4ee5cann\u5b89\u88c5\u4e0d\u662f\u5fc5\u987b\u7684，\u53ea\u9700\u8981\u5b89\u88c5\u9a71\u52a8<\/p>\n

\u4ece\u534e\u4e3a\u5b98\u7f51\u4e0b\u8f7d\u9a71\u52a8，\u5982\u679c\u6ca1\u6709\u5546\u7528\u6743\u9650\u5c31\u4e0b\u8f7d\u793e\u533a\u7684，\u90fd\u80fd\u7528，vllm-ascend:v0.18.0rc1\u4f7f\u7528cann8.5.1\u7248\u672c，\u8fd9\u4e2a\u7248\u672c\u8981\u6c42\u9a71\u52a8\u5f97\u662f25.5.2，\u5206\u522b\u4e0b\u8f7d：<\/p>\n

Ascend-hdk-910b-npu-firmware_7.8.0.7.220.run Ascend-hdk-910b-npu-driver_25.5.2_linux-aarch64.run<\/p>\n

\u63a5\u4e0b\u6765\u770b\u60c5\u51b5，\u5148\u4f7f\u7528npu-smi info\u770b\u770b\u9a71\u52a8\u7248\u672c，\u5982\u679cnpu-smi\u6267\u884c\u6210\u529f\u4e86，\u8bf4\u660e\u5df2\u7ecf\u88c5\u597d\u9a71\u52a8\u4e86，\u5982\u679c\u51fa\u73b0\u672a\u627e\u5230\u547d\u4ee4\u8fd9\u79cd，\u8bf4\u660e\u6ca1\u88c5\u9a71\u52a8<\/p>\n

\u6ca1\u88c5\u9a71\u52a8\u7684，\u5b89\u88c5：<\/p>\n

chmod +x .\/*.run
\n.\/Ascend-hdk-910b-npu-driver_25.5.2_linux-aarch64.run –full
\n.\/Ascend-hdk-910b-npu-firmware_7.8.0.7.220.run –full <\/p>\n

\u5982\u679c\u88c5\u4e86\u9a71\u52a8，\u4f46\u662f\u7248\u672c\u4f4e，\u5347\u7ea7：<\/p>\n

chmod +x .\/*.run
\n.\/Ascend-hdk-910b-npu-firmware_7.8.0.7.220.run –upgrade
\n.\/Ascend-hdk-910b-npu-driver_25.5.2_linux-aarch64.run –upgrade <\/p>\n

\u522b\u7ba1\u5b89\u88c5\u8fd8\u662f\u5347\u7ea7\u4e86，\u90fd\u8981\u505a\u4e00\u6b21\u91cd\u542f，\u76f4\u63a5reboot\u547d\u4ee4\u5c31\u884c<\/p>\n

\u6ce8\u610f：\u5b89\u88c5\u53c2\u8003\u4e0b\u9762\u6d41\u7a0b<\/p>\n

\"\"<\/p>\n

\u90e8\u7f72\u524d\u51c6\u5907<\/h2>\n

\u5728\u4e24\u53f0\u670d\u52a1\u5668\u5206\u522b\u6267\u884c\u4e0b\u9762\u7684\u811a\u672c，\u5bf9\u4e24\u53f0\u670d\u52a1\u5668\u5148\u7edf\u4e00\u72b6\u6001，\u5982\u679c\u4e2d\u95f4\u6709\u91cd\u542f\u8bb0\u7740\u91cd\u65b0\u7edf\u4e00<\/p>\n

\u6ce8\u610f\u8fd9\u4e00\u6b65\u5982\u679c\u7f3a\u5c11\u4f1a\u5bfc\u81f4\u591a\u673a\u90e8\u7f72\u7684\u65f6\u5019\u53ef\u80fd\u51fa\u73b0rank\u9519\u8bef\u6216\u5361\u6b7b，\u5982\u679c\u6709\u7c7b\u4f3c\u95ee\u9898\u8bd5\u8bd5\u6267\u884c\u7edf\u4e00\u72b6\u6001<\/span><\/p>\n

for i in {0..7}; do hccn_tool -i $i -tls -s enable 0 ; done <\/p>\n

\u542f\u52a8vllm-ascend\u7684docker\u955c\u50cf<\/h2>\n

\u4f7f\u7528\u811a\u672c\u518d\u4e24\u53f0\u670d\u52a1\u5668\u5206\u522b\u542f\u52a8\u955c\u50cf：<\/p>\n

\u6ce8\u610f，\u5176\u4e2d\u7684\/data\/qwen35_397b_w8a8_mtp\u6362\u6210\u4f60\u7684\u5b9e\u9645\u6a21\u578b\u6743\u91cd\u7684\u5b58\u653e\u8def\u5f84<\/p>\n

#!\/bin\/sh
\nNAME=model-vllm
\nPORT=10020
\nDEVICES="0,1,2,3,4,5,6,7"
\nIMAGE="m.daocloud.io\/quay.io\/ascend\/vllm-ascend:v0.18.0rc1-openeuler" # \u52a0\u8f7d\u955c\u50cf
\ndocker run -itd -u 0 –ipc=host –privileged \\\\
\n -e VLLM_USE_MODELSCOPE=True -e PYTORCH_NPU_ALLOC_CONF=max_split_size_mb:256 \\\\
\n -e ASCEND_RT_VISIBLE_DEVICES=$DEVICES \\\\
\n –name $NAME \\\\
\n –net=host \\\\
\n –shm-size=100g \\\\
\n –device \/dev\/davinci_manager \\\\
\n –device \/dev\/devmm_svm \\\\
\n –device \/dev\/hisi_hdc \\\\
\n -v \/usr\/local\/dcmi:\/usr\/local\/dcmi \\\\
\n -v \/usr\/local\/Ascend\/driver\/tools\/hccn_tool:\/usr\/local\/Ascend\/driver\/tools\/hccn_tool \\\\
\n -v \/usr\/local\/bin\/npu-smi:\/usr\/local\/bin\/npu-smi \\\\
\n -v \/usr\/local\/Ascend\/driver\/lib64\/:\/usr\/local\/Ascend\/driver\/lib64\/ \\\\
\n -v \/usr\/local\/Ascend\/driver\/version.info:\/usr\/local\/Ascend\/driver\/version.info \\\\
\n -v \/etc\/ascend_install.info:\/etc\/ascend_install.info \\\\
\n -v \/home\/:\/home\/ \\\\
\n -v \/opt\/data\/:\/opt\/data\/ \\\\
\n -p $PORT:11025 \\\\
\n -v \/data\/.cache:\/root\/.cache \\\\
\n -v \/data\/qwen35_397b_w8a8_mtp:\/model_weights \\\\
\n -it $IMAGE bash <\/p>\n

\u542f\u52a8\u6a21\u578b<\/h2>\n

\u5206\u522b\u8fdb\u5165\u4e24\u53f0\u7684docker，\u8fdb\u53bb\u4e4b\u540e\u4f1a\u5361\u51e0\u79d2\u7b49\u4e0b\u5c31\u884c<\/p>\n

docker exec -it model-vllm \/bin\/bash <\/p>\n

\u542f\u52a8master<\/h4>\n

\u5148\u805a\u7126\u5230master\u7684docker\u91cc<\/p>\n

\u6267\u884cmaster\u542f\u52a8\u811a\u672cstart-master-service.sh：<\/p>\n

#!\/bin\/bash
\nexport HCCL_IF_IP=\u5f53\u524d\u7269\u7406\u673aip
\n#\u4ee5\u4e0b\u7f51\u5361\u540d\u79f0\u4e3a\u5f53\u524d\u7269\u7406\u673aip\u76f8\u5173\u8054\u7684\u90a3\u4e2a\u7f51\u5361\u5373\u53ef
\nexport GLOO_SOCKET_IFNAME="\u7f51\u5361\u540d\u79f0"
\nexport TP_SOCKET_IFNAME="\u7f51\u5361\u540d\u79f0"
\nexport HCCL_SOCKET_IFNAME="\u7f51\u5361\u540d\u79f0"
\nexport HCCL_BUFFSIZE=1024
\nexport ASCEND_RT_VISIBLE_DEVICES=0,1,2,3,4,5,6,7<\/p>\n

export HCCL_OP_EXPANSION_MODE="AIV"
\nexport PYTORCH_NPU_ALLOC_CONF=expandable_segments:True<\/p>\n

export OMP_PROC_BIND=false
\nexport OMP_NUM_THREADS=100
\nexport VLLM_USE_V1=1
\nexport VLLM_ASCEND_ENABLE_FLASHCOMM1=0<\/p>\n

export HCCL_INTRA_PCIE_ENABLE=1
\nexport HCCL_INTRA_ROCE_ENABLE=0<\/p>\n

export TASK_QUEUE_ENABLE=1
\nexport VLLM_API_KEY=SK1234567890987654321<\/p>\n

vllm serve \/model_weights \\\\
\n –served-model-name "qwen35" \\\\
\n –host 0.0.0.0 \\\\
\n –port 11025\\\\
\n –tensor-parallel-size 8 \\\\
\n –data-parallel-size 2 \\\\
\n –data-parallel-size-local 1 \\\\
\n –data-parallel-start-rank 0 \\\\
\n –data-parallel-address \u5f53\u524d\u7269\u7406\u673aip \\\\
\n –data-parallel-rpc-port 13071 \\\\
\n –max-num-seqs 64 \\\\
\n –max-model-len 262144 \\\\
\n –max-num-batched-tokens 16384 \\\\
\n –gpu-memory-utilization 0.92 \\\\
\n –enable-chunked-prefill \\\\
\n –async-scheduling \\\\
\n –api-key $VLLM_API_KEY \\\\
\n –enable-expert-parallel \\\\
\n –trust-remote-code \\\\
\n –compilation-config '{"cudagraph_mode": "FULL_DECODE_ONLY","cudagraph_capture_sizes":[1,2,4,8,16,32,64,80,96,128]}' \\\\
\n –mm_processor_cache_type="shm" \\\\
\n –quantization ascend \\\\
\n –allowed-local-media-path \/ \\\\
\n –no-enable-prefix-caching \\\\
\n –speculative_config '{"method": "qwen3_5_mtp", "num_speculative_tokens": 3, "enforce_eager": true}' \\\\
\n –additional-config '{"enable_cpu_binding":true,"multistream_overlap_shared_expert": true}' \\\\
\n –default-chat-template-kwargs '{"enable_thinking": false}' \\\\
\n –enable-auto-tool-choice \\\\
\n –tool-call-parser qwen3_coder <\/p>\n

\u518d\u505a\u4e2adaemon\u811a\u672c<\/p>\n

#!\/bin\/bash<\/p>\n

nohup .\/start-master-service.sh > .\/service.log 2>&1 & <\/p>\n

master\u542f\u52a8\u547d\u4ee4\u6267\u884c\u5c31\u53ef\u4ee5\u53ef\u4ee5\u51c6\u5907\u542f\u52a8worker，\u56e0\u4e3avllm\u7684master\u548cworker\u4e4b\u95f4\u7684\u5173\u7cfb\u5e76\u975e\u72ec\u7acb\u7684，master\u542f\u52a8\u540e\u4f1a\u8fdb\u5165\u7b49\u5f85\u72b6\u6001，\u53ea\u6709worker\u8282\u70b9\u542f\u52a8\u540e\u4e0e\u5176\u8fde\u63a5，master\u624d\u4f1a\u7ee7\u7eed\u5411\u4e0b\u5b8c\u6210\u542f\u52a8，\u6240\u4ee5\u4e0d\u8981\u7b49master\u542f\u52a8\u5b8c\u6210，\u53ea\u8981master\u542f\u52a8\u547d\u4ee4\u6267\u884c\u540e，1\u5206\u949f\u5185\u6ca1\u9519\u8bef\u51fa\u73b0，\u5c31\u53ef\u4ee5\u542f\u52a8worker\u3002<\/p>\n

\u542f\u52a8worker<\/h3>\n

\u518d\u805a\u7126\u5230worker\u7684docker\u91cc<\/p>\n

\u6267\u884cworker\u542f\u52a8\u811a\u672cstart-worker-service.sh：<\/p>\n

export HCCL_IF_IP=\u5f53\u524d\u7269\u7406\u673aip
\n#\u4ee5\u4e0b\u7f51\u5361\u540d\u79f0\u4e3a\u5f53\u524d\u7269\u7406\u673aip\u76f8\u5173\u8054\u7684\u90a3\u4e2a\u7f51\u5361\u5373\u53ef
\nexport GLOO_SOCKET_IFNAME="\u7f51\u5361\u540d\u79f0"
\nexport TP_SOCKET_IFNAME="\u7f51\u5361\u540d\u79f0"
\nexport HCCL_SOCKET_IFNAME="\u7f51\u5361\u540d\u79f0"
\nexport HCCL_BUFFSIZE=1024<\/p>\n

export ASCEND_RT_VISIBLE_DEVICES=0,1,2,3,4,5,6,7<\/p>\n

export HCCL_OP_EXPANSION_MODE="AIV"
\nexport PYTORCH_NPU_ALLOC_CONF=expandable_segments:True<\/p>\n

export OMP_PROC_BIND=false
\nexport OMP_NUM_THREADS=100
\nexport VLLM_USE_V1=1
\nexport VLLM_ASCEND_ENABLE_FLASHCOMM1=0<\/p>\n

export HCCL_INTRA_PCIE_ENABLE=1
\nexport HCCL_INTRA_ROCE_ENABLE=0<\/p>\n

export TASK_QUEUE_ENABLE=1
\nexport VLLM_API_KEY=SK1234567890987654321<\/p>\n

vllm serve \/model_weights \\\\
\n –served-model-name "qwen35" \\\\
\n –host 0.0.0.0 \\\\
\n –port 11205 \\\\
\n –headless \\\\
\n –tensor-parallel-size 8 \\\\
\n –data-parallel-size 2 \\\\
\n –data-parallel-size-local 1 \\\\
\n –data-parallel-start-rank 1 \\\\
\n –data-parallel-address master\u7269\u7406\u673a\u7684ip\u5730\u5740 \\\\
\n –data-parallel-rpc-port 13071 \\\\
\n –max-num-seqs 64 \\\\
\n –max-model-len 262144 \\\\
\n –max-num-batched-tokens 16384 \\\\
\n –gpu-memory-utilization 0.92 \\\\
\n –enable-chunked-prefill \\\\
\n –async-scheduling \\\\
\n –api-key $VLLM_API_KEY \\\\
\n –enable-expert-parallel \\\\
\n –trust-remote-code \\\\
\n –compilation-config '{"cudagraph_mode": "FULL_DECODE_ONLY","cudagraph_capture_sizes":[1,2,4,8,16,32,64,80,96,128]}' \\\\
\n –mm_processor_cache_type="shm" \\\\
\n –quantization ascend \\\\
\n –allowed-local-media-path \/ \\\\
\n –no-enable-prefix-caching \\\\
\n –speculative_config '{"method": "qwen3_5_mtp", "num_speculative_tokens": 3, "enforce_eager": true}' \\\\
\n –additional-config '{"enable_cpu_binding":true,"multistream_overlap_shared_expert": true}'
\n –default-chat-template-kwargs '{"enable_thinking": false}' \\\\
\n –enable-auto-tool-choice \\\\
\n –tool-call-parser qwen3_coder <\/p>\n

\u518d\u505a\u4e2aworker\u7684daemon\u811a\u672c<\/p>\n

#!\/bin\/bash<\/p>\n

nohup .\/start-worker-service.sh > .\/service.log 2>&1 & <\/p>\n

\u5206\u522b\u542f\u52a8master\u548cworker\u7684\u811a\u672c，\u5148master\u518dworker，\u6210\u529f\u4e86master\u7aef\u4f1a\u6709：<\/p>\n

(APIServer pid=373) INFO: \u00a0 \u00a0 Started server process [373] (APIServer pid=373) INFO: \u00a0 \u00a0 Waiting for application startup.<\/p>\n

(APIServer pid=373) INFO: \u00a0 \u00a0 Application startup complete.<\/p>\n<\/p>\n

\u9a8c\u8bc1<\/h2>\n

#!\/bin\/bash
\ncurl -N -XPOST http:\/\/{master\u8282\u70b9ip}:11025\/v1\/chat\/completions \\\\
\n -H "Content-type: application\/json" \\\\
\n -H "Authorization: Bearer SK1234567890987654321" \\\\
\n -d '{
\n "model": "qwen35",
\n "messages": [{"role": "user", "content": "Please introduce the qwen3.5?"}],
\n "stream": true,
\n "temperature": 0.7,
\n "top_p": 0.8,
\n "max_tokens": 1500
\n }' <\/p>\n

\u9996\u6b21\u8bbf\u95ee\u4f1a\u6bd4\u8f83\u6162<\/p>\n","protected":false},"excerpt":{"rendered":"

\u914d\u7f6e
\n\u4e24\u53f08*64\u7684\u6607\u817e910b4\u670d\u52a1\u5668\u7269\u7406\u673a，\u672a\u505a\u4efb\u4f55\u865a\u62df\u5316，\u5df2\u7ecf\u901a\u8fc7\u4ea4\u6362\u673a\u8fdb\u884c\u4e92\u8054
\n\u6a21\u578b\u548c\u955c\u50cf\u4e0b\u8f7d
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