[Ascend ] Add qwen3.5 122B/35B/27B deployment examples on doc (#19339)
Co-authored-by: sglang-npu-bot <sglangnpu@163.com>
This commit is contained in:
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# GLM-5
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# GLM-5 examples
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## Introduction
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@@ -1,4 +1,4 @@
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# Qwen3.5
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# Qwen3.5 examples
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## Environment Preparation
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@@ -8,9 +8,9 @@ The dependencies required for the NPU runtime environment have been integrated i
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```{code-block} bash
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#Atlas 800 A3
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docker pull swr.cn-southwest-2.myhuaweicloud.com/base_image/dockerhub/lmsysorg/sglang:cann8.5.0-a3-qwen3.5
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docker pull quay.io/ascend/sglang:v0.5.9-cann8.5.0-a3
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#Atlas 800 A2
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docker pull swr.cn-southwest-2.myhuaweicloud.com/base_image/dockerhub/lmsysorg/sglang:cann8.5.0-910b-qwen3.5
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docker pull quay.io/ascend/sglang:v0.5.9-cann8.5.0-910b
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#start container
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docker run -itd --shm-size=16g --privileged=true --name ${NAME} \
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@@ -39,17 +39,17 @@ docker run -itd --shm-size=16g --privileged=true --name ${NAME} \
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--device=/dev/davinci_manager:/dev/davinci_manager \
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--device=/dev/hisi_hdc:/dev/hisi_hdc \
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--entrypoint=bash \
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swr.cn-southwest-2.myhuaweicloud.com/base_image/dockerhub/lmsysorg/sglang:${TAG}
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quay.io/ascend/sglang:${tag}
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```
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## Deployment
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### Single-node Deployment
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- Quantized model `qwen35_w8a8` can be deployed on 1 Atlas 800 A3 (64G × 16) .
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Run the following script to execute online inference.
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#### Qwen3.5 397B
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```shell
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# high performance cpu
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echo performance | tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
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@@ -69,10 +69,6 @@ source /usr/local/Ascend/ascend-toolkit/set_env.sh
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source /usr/local/Ascend/nnal/atb/set_env.sh
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export STREAMS_PER_DEVICE=32
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export SGLANG_DISAGGREGATION_BOOTSTRAP_TIMEOUT=600
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export SGLANG_ENABLE_SPEC_V2=1
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export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1
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export SGLANG_NPU_USE_MULTI_STREAM=1
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export HCCL_BUFFSIZE=1000
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export HCCL_OP_EXPANSION_MODE=AIV
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export HCCL_SOCKET_IFNAME=lo
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@@ -83,7 +79,8 @@ python3 -m sglang.launch_server \
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--attention-backend ascend \
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--device npu \
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--tp-size 16 --nnodes 1 --node-rank 0 \
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--chunked-prefill-size 16384 --max-prefill-tokens 280000 \
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--chunked-prefill-size 4096 --max-prefill-tokens 280000 \
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--disable-radix-cache \
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--trust-remote-code \
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--host 127.0.0.1 \
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--mem-fraction-static 0.7 \
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@@ -95,6 +92,136 @@ python3 -m sglang.launch_server \
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--dtype bfloat16
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```
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#### Qwen3.5 122B
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```shell
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# high performance cpu
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echo performance | tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
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sysctl -w vm.swappiness=0
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sysctl -w kernel.numa_balancing=0
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sysctl -w kernel.sched_migration_cost_ns=50000
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# bind cpu
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export SGLANG_SET_CPU_AFFINITY=1
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unset https_proxy
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unset http_proxy
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unset HTTPS_PROXY
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unset HTTP_PROXY
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unset ASCEND_LAUNCH_BLOCKING
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# cann
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source /usr/local/Ascend/ascend-toolkit/set_env.sh
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source /usr/local/Ascend/nnal/atb/set_env.sh
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export STREAMS_PER_DEVICE=32
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export HCCL_BUFFSIZE=1000
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export HCCL_OP_EXPANSION_MODE=AIV
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export HCCL_SOCKET_IFNAME=lo
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export GLOO_SOCKET_IFNAME=lo
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python3 -m sglang.launch_server \
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--model-path $MODEL_PATH \
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--attention-backend ascend \
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--device npu \
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--tp-size 8 --nnodes 1 --node-rank 0 \
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--chunked-prefill-size 4096 --max-prefill-tokens 280000 \
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--disable-radix-cache \
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--trust-remote-code \
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--host 127.0.0.1 \
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--mem-fraction-static 0.7 \
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--port 8000 \
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--cuda-graph-bs 16 \
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--quantization modelslim \
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--enable-multimodal \
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--mm-attention-backend ascend_attn \
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--dtype bfloat16
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```
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#### Qwen3.5 35B
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```shell
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# high performance cpu
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echo performance | tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
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sysctl -w vm.swappiness=0
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sysctl -w kernel.numa_balancing=0
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sysctl -w kernel.sched_migration_cost_ns=50000
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# bind cpu
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export SGLANG_SET_CPU_AFFINITY=1
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unset https_proxy
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unset http_proxy
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unset HTTPS_PROXY
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unset HTTP_PROXY
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unset ASCEND_LAUNCH_BLOCKING
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# cann
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source /usr/local/Ascend/ascend-toolkit/set_env.sh
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source /usr/local/Ascend/nnal/atb/set_env.sh
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export STREAMS_PER_DEVICE=32
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export HCCL_BUFFSIZE=1000
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export HCCL_OP_EXPANSION_MODE=AIV
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export HCCL_SOCKET_IFNAME=lo
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export GLOO_SOCKET_IFNAME=lo
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python3 -m sglang.launch_server \
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--model-path $MODEL_PATH \
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--attention-backend ascend \
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--device npu \
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--tp-size 2 --nnodes 1 --node-rank 0 \
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--chunked-prefill-size 4096 --max-prefill-tokens 280000 \
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--disable-radix-cache \
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--trust-remote-code \
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--host 127.0.0.1 \
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--mem-fraction-static 0.7 \
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--port 8000 \
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--cuda-graph-bs 16 \
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--quantization modelslim \
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--enable-multimodal \
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--mm-attention-backend ascend_attn \
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--dtype bfloat16
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```
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#### Qwen3.5 27B
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```shell
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# high performance cpu
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echo performance | tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
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sysctl -w vm.swappiness=0
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sysctl -w kernel.numa_balancing=0
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sysctl -w kernel.sched_migration_cost_ns=50000
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# bind cpu
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export SGLANG_SET_CPU_AFFINITY=1
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unset https_proxy
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unset http_proxy
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unset HTTPS_PROXY
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unset HTTP_PROXY
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unset ASCEND_LAUNCH_BLOCKING
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# cann
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source /usr/local/Ascend/ascend-toolkit/set_env.sh
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source /usr/local/Ascend/nnal/atb/set_env.sh
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export STREAMS_PER_DEVICE=32
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export HCCL_BUFFSIZE=1000
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export HCCL_OP_EXPANSION_MODE=AIV
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export HCCL_SOCKET_IFNAME=lo
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export GLOO_SOCKET_IFNAME=lo
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python3 -m sglang.launch_server \
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--model-path $MODEL_PATH \
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--attention-backend ascend \
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--device npu \
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--tp-size 2 \
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--chunked-prefill-size -1 --max-prefill-tokens 120000 \
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--disable-radix-cache \
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--trust-remote-code \
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--host 127.0.0.1 \
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--mem-fraction-static 0.8 \
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--port 8000 \
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--cuda-graph-bs 32 \
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--enable-multimodal \
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--mm-attention-backend ascend_attn
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```
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### Prefill-Decode Disaggregation
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Not test yet.
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