Qwen3 examples

Qwen3 examples#

Running Qwen3#

Running Qwen3-32B on 1 x Atlas 800I A3.#

Model weights could be found here

export SGLANG_SET_CPU_AFFINITY=1
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export STREAMS_PER_DEVICE=32
export HCCL_BUFFSIZE=1536
export HCCL_OP_EXPANSION_MODE=AIV

ASCEND_RT_VISIBLE_DEVICES=0,1,2,3 python -m sglang.launch_server \
   --device npu \
   --attention-backend ascend \
   --trust-remote-code \
   --tp-size 4 \
   --model-path Qwen/Qwen3-32B \
   --port 30111 \
   --mem-fraction-static 0.8

Running Qwen3-32B on 1 x Atlas 800I A3 with Qwen3-32B-Eagle3.#

Model weights could be found here

Speculative model weights could be found here

export SGLANG_SET_CPU_AFFINITY=1
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export STREAMS_PER_DEVICE=32
export HCCL_OP_EXPANSION_MODE=AIV
export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1
export SGLANG_ENABLE_SPEC_V2=1

python -m sglang.launch_server \
   --device npu \
   --attention-backend ascend \
   --trust-remote-code \
   --tp-size 4 \
   --model-path Qwen/Qwen3-32B \
   --port 30111 \
   --mem-fraction-static 0.8 \
   --speculative-algorithm EAGLE3 \
   --speculative-draft-model-path Qwen/Qwen3-32B-Eagle3 \
   --speculative-num-steps 1 \
   --speculative-eagle-topk 1 \
   --speculative-num-draft-tokens 2

Running Qwen3-30B-A3B MOE on 1 x Atlas 800I A3.#

Model weights could be found here

export SGLANG_SET_CPU_AFFINITY=1
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export STREAMS_PER_DEVICE=32
export HCCL_BUFFSIZE=1536
export HCCL_OP_EXPANSION_MODE=AIV
export SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=32
export SGLANG_DEEPEP_BF16_DISPATCH=1
export ENABLE_ASCEND_MOE_NZ=1

ASCEND_RT_VISIBLE_DEVICES=0,1,2,3 python -m sglang.launch_server \
   --device npu \
   --attention-backend ascend \
   --trust-remote-code \
   --tp-size 4 \
   --model-path Qwen/Qwen3-30B-A3B \
   --port 30111 \
   --mem-fraction-static 0.8

Running Qwen3-235B-A22B-Instruct-2507 MOE on 1 x Atlas 800I A3.#

Model weights could be found here

export SGLANG_SET_CPU_AFFINITY=1
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export STREAMS_PER_DEVICE=32
export HCCL_BUFFSIZE=1536
export SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=32
export SGLANG_DEEPEP_BF16_DISPATCH=1
export ENABLE_ASCEND_MOE_NZ=1

python -m sglang.launch_server \
   --model-path Qwen/Qwen3-235B-A22B-Instruct-2507 \
   --tp-size 16 \
   --trust-remote-code \
   --attention-backend ascend \
   --device npu \
   --watchdog-timeout 9000 \
   --port 30111 \
   --mem-fraction-static 0.8

Running Qwen3-VL-8B-Instruct on 1 x Atlas 800I A3.#

Model weights could be found here

export SGLANG_SET_CPU_AFFINITY=1
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
export STREAMS_PER_DEVICE=32
export HCCL_BUFFSIZE=1536
export HCCL_OP_EXPANSION_MODE=AIV

ASCEND_RT_VISIBLE_DEVICES=0,1,2,3 python -m sglang.launch_server \
   --device npu \
   --enable-multimodal \
   --attention-backend ascend \
   --mm-attention-backend ascend_attn \
   --trust-remote-code \
   --tp-size 4 \
   --model-path Qwen/Qwen3-VL-8B-Instruct \
   --port 30111 \
   --mem-fraction-static 0.8
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