update ascend docs (#17457)

This commit is contained in:
amote-i
2026-01-21 15:36:26 +08:00
committed by GitHub
parent 0050c476fd
commit 0a9099e137
2 changed files with 77 additions and 109 deletions

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@@ -180,134 +180,102 @@ python -m sglang_router.launch_router \
W8A8 Model weights could be found [here](https://modelers.cn/models/State_Cloud/Deepseek-R1-bf16-hfd-w8a8).
1. Prefill:
1. Prefill & Decode:
```shell
echo performance | tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor
sysctl -w vm.swappiness=0
sysctl -w kernel.numa_balancing=0
sysctl -w kernel.sched_migration_cost_ns=50000
export SGLANG_SET_CPU_AFFINITY=1
unset ASCEND_LAUNCH_BLOCKING
source /usr/local/Ascend/ascend-toolkit/set_env.sh
source /usr/local/Ascend/nnal/atb/set_env.sh
export PATH=/usr/local/Ascend/8.5.0/compiler/bishengir/bin:$PATH
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export STREAMS_PER_DEVICE=32
#memfabric config store
export ASCEND_MF_STORE_URL="tcp://<P_HOST_IP[0]>:<PORT>"
export ASCEND_MF_STORE_URL="tcp://your prefill ip1:24669"
#Deepep communication settings
export DEEP_NORMAL_MODE_USE_INT8_QUANT=1
export HCCL_BUFFSIZE=1536
P_IP=('your prefill ip1' 'your prefill ip2')
D_IP=('your decode ip1' 'your decode ip2')
MODEL_PATH=xxx
#npu acceleration operator
export SGLANG_NPU_USE_MLAPO=1
export SGLANG_USE_FIA_NZ=1
export ENABLE_MOE_NZ=1
export TASK_QUEUE_ENABLE=2
#Please list all host ips of Prefill instance
P_HOST_IP=('xx.xx.xx.xx' 'xx.xx.xx.xx')
for i in "${!P_HOST_IP[@]}";
LOCAL_HOST1=`hostname -I|awk -F " " '{print$1}'`
LOCAL_HOST2=`hostname -I|awk -F " " '{print$2}'`
echo "${LOCAL_HOST1}"
echo "${LOCAL_HOST2}"
# prefill
for i in "${!P_IP[@]}";
do
python -m sglang.launch_server \
--model-path ${MODEL_PATH} \
--host ${P_HOST_IP[$i]} \
--port 8000 \
--disaggregation-mode prefill \
--disaggregation-bootstrap-port $((8996+$i)) \
--disaggregation-transfer-backend ascend \
--trust-remote-code \
--nnodes 1 \
--node-rank 0 \
--tp-size 16 \
--mem-fraction-static 0.81 \
--attention-backend ascend \
--device npu \
--max-running-requests 8 \
--context-length 8192 \
--disable-radix-cache \
--chunked-prefill-size -1 \
--max-prefill-tokens 28680 \
--moe-a2a-backend deepep \
--deepep-mode normal \
--speculative-algorithm NEXTN \
--speculative-num-steps 1 \
--speculative-eagle-topk 1 \
--speculative-num-draft-tokens 2 \
--dp-size 2 \
--enable-dp-attention \
--disable-shared-experts-fusion \
--dtype bfloat16
if [[ "$LOCAL_HOST1" == "${P_IP[$i]}" || "$LOCAL_HOST2" == "${P_IP[$i]}" ]];
then
echo "${P_IP[$i]}"
export HCCL_BUFFSIZE=1536
export DEEP_NORMAL_MODE_USE_INT8_QUANT=1
export TASK_QUEUE_ENABLE=2
export HCCL_SOCKET_IFNAME=lo
export GLOO_SOCKET_IFNAME=lo
python -m sglang.launch_server --model-path ${MODEL_PATH} --disaggregation-mode prefill --host ${P_IP[$i]} \
--port 8000 --disaggregation-bootstrap-port $((8998+$i)) --trust-remote-code --nnodes 1 --node-rank 0 \
--tp-size 16 --mem-fraction-static 0.81 --attention-backend ascend --device npu --quantization modelslim \
--disaggregation-transfer-backend ascend --max-running-requests 8 --context-length 8192 --disable-radix-cache \
--chunked-prefill-size -1 --max-prefill-tokens 28680 --moe-a2a-backend deepep --deepep-mode normal \
--speculative-algorithm NEXTN --speculative-num-steps 1 --speculative-eagle-topk 1 --speculative-num-draft-tokens 2 \
--dp-size 2 --enable-dp-attention --disable-shared-experts-fusion --dtype bfloat16 --enable-attn-tp-input-scattered
NODE_RANK=$i
break
fi
done
# decode
for i in "${!D_IP[@]}";
do
if [[ "$LOCAL_HOST1" == "${D_IP[$i]}" || "$LOCAL_HOST2" == "${D_IP[$i]}" ]];
then
echo "${D_IP[$i]}"
export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1
export SGLANG_ENABLE_SPEC_V2=1
export HCCL_BUFFSIZE=650
export SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=78
export TASK_QUEUE_ENABLE=1
export SGLANG_SCHEDULER_SKIP_ALL_GATHER=1
export HCCL_SOCKET_IFNAME=xxx
export GLOO_SOCKET_IFNAME=xxx
python -m sglang.launch_server --model-path ${MODEL_PATH} --disaggregation-mode decode --host ${D_IP[$i]} \
--port 8001 --trust-remote-code --dist-init-addr ${D_IP[0]}:5000 --nnodes 2 --node-rank $i --tp-size 32 --dp-size 32 \
--mem-fraction-static 0.815 --max-running-requests 832 --attention-backend ascend --device npu --quantization modelslim \
--moe-a2a-backend deepep --enable-dp-attention --deepep-mode low_latency --enable-dp-lm-head --moe-dense-tp 1 \
--cuda-graph-bs 12 14 16 18 20 22 24 26 --disaggregation-transfer-backend ascend --watchdog-timeout 9000 --context-length 8192 \
--speculative-algorithm NEXTN --speculative-num-steps 2 --speculative-eagle-topk 1 --speculative-num-draft-tokens 3 \
--tokenizer-worker-num 4 --prefill-round-robin-balance --disable-shared-experts-fusion --dtype bfloat16 \
--load-balance-method decode_round_robin
NODE_RANK=$i
break
fi
done
```
2. Decode:
```shell
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export STREAMS_PER_DEVICE=32
#memfabric config store
export ASCEND_MF_STORE_URL="tcp://<P_HOST_IP[0]>:<PORT>"
#Deepep communication settings
export HCCL_BUFFSIZE=600
export SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=78
#spec overlap
export SGLANG_ENABLE_SPEC_V2=1
export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1
#npu acceleration operator
unset TASK_QUEUE_ENABLE
export SGLANG_NPU_USE_MLAPO=1
export SGLANG_USE_FIA_NZ=1
export ENABLE_MOE_NZ=1
#please list all host ips of Prefill instance
D_HOST_IP=('xx.xx.xx.xx' 'xx.xx.xx.xx')
for i in "${!D_HOST_IP[@]}";
do
python -m sglang.launch_server
--model-path ${MODEL_PATH} \
--disaggregation-mode decode \
--disaggregation-transfer-backend ascend \
--host ${D_HOST_IP[$i]} \
--port 8001 \
--trust-remote-code \
--dist-init-addr ${D_HOST_IP[0]}:5000 \
--nnodes 2 \
--node-rank $i \
--tp-size 32 \
--dp-size 32 \
--mem-fraction-static 0.8 \
--max-running-requests 832 \
--attention-backend ascend \
--device npu \
--moe-a2a-backend deepep \
--enable-dp-attention \
--deepep-mode low_latency \
--enable-dp-lm-head \
--cuda-graph-bs 8 10 12 14 16 18 20 22 24 26 \
--watchdog-timeout 9000 \
--context-length 8192 \
--speculative-algorithm NEXTN \
--speculative-num-steps 2 \
--speculative-eagle-topk 1 \
--speculative-num-draft-tokens 3 \
--tokenizer-worker-num 4 \
--disable-shared-experts-fusion \
--dtype bfloat16
done
```
3. SGLang Model Gateway (former Router):
2. SGLang Model Gateway (former Router):
```shell
export SGLANG_DP_ROUND_ROBIN=1
python -m sglang_router.launch_router \
--pd-disaggregation \
--policy cache_aware \
--prefill http://<P_HOST_IP[0]>:8000 8996 \
--prefill http://<P_HOST_IP[1]>:8000 8997 \
--decode http://<D_HOST_IP[0]>:8001 \
--prefill http://P_IP:8000 8998 \
--prefill http://P_IP:8000 8999 \
--decode http://D_IP:8001 \
--host 127.0.0.1 \
--port 6688
--port 6688 \
--mini-lb
```
#### test gsm8k

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@@ -47,7 +47,7 @@ You are welcome to enable various models based on your business requirements.
| baichuan-inc/Baichuan2-13B-Chat | Baichuan 2 (7B, 13B) | **<span style="color: green;">√</span>** | **<span style="color: green;">√</span>** |
| baidu/ERNIE-4.5-21B-A3B-PT | ERNIE-4.5 (4.5, 4.5MoE series) | **<span style="color: green;">√</span>** | **<span style="color: green;">√</span>** |
| openbmb/MiniCPM3-4B | MiniCPM (v3, 4B) | **<span style="color: green;">√</span>** | **<span style="color: green;">√</span>** |
| Kimi/Kimi-K2-Think | Kimi | **<span style="color: green;">√</span>** | **<span style="color: green;">√</span>** |
| Kimi/Kimi-K2-Thinking | Kimi | **<span style="color: green;">√</span>** | **<span style="color: green;">√</span>** |
| openai/gpt-oss-120b | GPTOSS | **<span style="color: red;">×</span>** | **<span style="color: red;">×</span>** |
## Multimodal Language Models