test_name: "test Kimi-K2-Instruct-W8A8 2-nodes-dp4-tp8-torchair" model: "vllm-ascend/Kimi-K2-Instruct-W8A8" num_nodes: 2 npu_per_node: 16 env_common: VLLM_USE_MODELSCOPE: true HCCL_BUFFSIZE: 1024 SERVER_PORT: 8080 OMP_PROC_BIND: false OMP_NUM_THREADS: 100 NUMEXPR_MAX_THREADS: 128 deployment: - server_cmd: > vllm serve "vllm-ascend/Kimi-K2-Instruct-W8A8" --host 0.0.0.0 --port $SERVER_PORT --data-parallel-size 4 --data-parallel-size-local 2 --data-parallel-start-rank 0 --data-parallel-address $LOCAL_IP --data-parallel-rpc-port 13389 --tensor-parallel-size 8 --seed 1024 --enable-expert-parallel --max-num-seqs 32 --max-model-len 8192 --max-num-batched-tokens 8192 --quantization ascend --trust-remote-code --no-enable-prefix-caching --gpu-memory-utilization 0.9 --additional-config '{"torchair_graph_config":{"enabled":true}}' - server_cmd: > vllm serve "vllm-ascend/Kimi-K2-Instruct-W8A8" --headless --data-parallel-size 4 --data-parallel-size-local 2 --data-parallel-start-rank 2 --data-parallel-address $MASTER_IP --data-parallel-rpc-port 13389 --tensor-parallel-size 8 --seed 1024 --enable-expert-parallel --max-num-seqs 32 --max-model-len 8192 --max-num-batched-tokens 8192 --quantization ascend --trust-remote-code --no-enable-prefix-caching --gpu-memory-utilization 0.9 --additional-config '{"torchair_graph_config":{"enabled":true}}' benchmarks: perf: case_type: performance dataset_path: vllm-ascend/GSM8K-in3500-bs2800 request_conf: vllm_api_stream_chat dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf num_prompts: 512 max_out_len: 256 batch_size: 64 trust_remote_code: True request_rate: 11.2 baseline: 1 threshold: 0.97 acc: case_type: accuracy dataset_path: vllm-ascend/gsm8k-lite request_conf: vllm_api_general_chat dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt max_out_len: 7680 batch_size: 64 baseline: 95 threshold: 5