test_name: "multi-node-kimi-k2.5-w4a8-ep-128k-1k-TPOT50" model: "Eco-Tech/Kimi-K2.5-W4A8" num_nodes: 4 npu_per_node: 16 routing: type: "disaggregated_prefill" groups: prefiller: [ 0, 1 ] decoder: [ 2, 3 ] config: - node_index: 0 port_start: 7100 dp_rpc_port: 12321 dp_size: 4 dp_size_local: 4 dp_rank_start: 0 tp_size: 4 dp_address: "${NODE_0_IP}" - node_index: 1 port_start: 7100 dp_rpc_port: 12321 dp_size: 4 dp_size_local: 4 dp_rank_start: 0 tp_size: 4 dp_address: "${NODE_1_IP}" - node_index: 2 port_start: 7100 dp_rpc_port: 12321 dp_size: 8 dp_size_local: 4 dp_rank_start: 0 tp_size: 4 dp_address: "${NODE_2_IP}" - node_index: 3 port_start: 7100 dp_rpc_port: 12321 dp_size: 8 dp_size_local: 4 dp_rank_start: 4 tp_size: 4 dp_address: "${NODE_2_IP}" env_common: &env_common SERVER_PORT: "${PORT}" VLLM_RPC_TIMEOUT: "3600000" VLLM_EXECUTE_MODEL_TIMEOUT_SECONDS: "30000" OMP_PROC_BIND: "false" OMP_NUM_THREADS: "1" PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" TASK_QUEUE_ENABLE: "1" HCCL_OP_EXPANSION_MODE: "AIV" ASCEND_RT_VISIBLE_DEVICES: "${VISIBLE_DEVICES}" VLLM_ASCEND_ENABLE_FUSED_MC2: "1" VLLM_USE_MODELSCOPE: "true" env_prefill: &env_prefill <<: *env_common HCCL_BUFFSIZE: "1536" VLLM_ASCEND_ENABLE_FLASHCOMM1: "1" env_decode: &env_decode <<: *env_common VLLM_ASCEND_ENABLE_MLAPO: "1" HCCL_BUFFSIZE: "800" templates: - node_index: 0 envs: <<: *env_prefill server_cmd_template: - --host - "0.0.0.0" - --port - $SERVER_PORT - --data-parallel-size - ${DP_SIZE} - --data-parallel-rank - ${DP_RANK} - --data-parallel-address - ${DP_ADDRESS} - --data-parallel-rpc-port - ${DP_RPC_PORT} - --tensor-parallel-size - ${TP_SIZE} - --enable-expert-parallel - --seed - "1024" - --max-model-len - "133120" - --max-num-batched-tokens - "16384" - --max-num-seqs - "1" - --enforce-eager - --trust-remote-code - --gpu-memory-utilization - "0.92" - --no-enable-prefix-caching - --quantization - "ascend" - --additional-config - '{"enable_shared_expert_dp": true}' - --kv-transfer-config - '{"kv_connector": "MooncakeConnectorV1", "kv_role": "kv_producer", "kv_port": "30000", "engine_id": "0", "kv_connector_extra_config": {"use_ascend_direct": true, "prefill": {"dp_size": 4, "tp_size": 4}, "decode": {"dp_size": 8, "tp_size": 4}}}' - node_index: 1 envs: <<: *env_prefill server_cmd_template: - --host - "0.0.0.0" - --port - $SERVER_PORT - --data-parallel-size - ${DP_SIZE} - --data-parallel-rank - ${DP_RANK} - --data-parallel-address - ${DP_ADDRESS} - --data-parallel-rpc-port - ${DP_RPC_PORT} - --tensor-parallel-size - ${TP_SIZE} - --enable-expert-parallel - --seed - "1024" - --max-model-len - "133120" - --max-num-batched-tokens - "16384" - --max-num-seqs - "1" - --enforce-eager - --trust-remote-code - --gpu-memory-utilization - "0.92" - --no-enable-prefix-caching - --quantization - "ascend" - --additional-config - '{"enable_shared_expert_dp": true}' - --kv-transfer-config - '{"kv_connector": "MooncakeConnectorV1", "kv_role": "kv_producer", "kv_port": "30100", "engine_id": "1", "kv_connector_extra_config": {"use_ascend_direct": true, "prefill": {"dp_size": 4, "tp_size": 4}, "decode": {"dp_size": 8, "tp_size": 4}}}' - node_index: 2 envs: <<: *env_decode server_cmd_template: - --host - "0.0.0.0" - --port - $SERVER_PORT - --data-parallel-size - ${DP_SIZE} - --data-parallel-rank - ${DP_RANK} - --data-parallel-address - ${DP_ADDRESS} - --data-parallel-rpc-port - ${DP_RPC_PORT} - --tensor-parallel-size - ${TP_SIZE} - --enable-expert-parallel - --seed - "1024" - --max-model-len - "133720" - --max-num-batched-tokens - "32" - --max-num-seqs - "8" - --trust-remote-code - --gpu-memory-utilization - "0.91" - --quantization - "ascend" - --no-enable-prefix-caching - --speculative-config - '{"method": "eagle3", "model": "lightseekorg/kimi-k2.5-eagle3", "num_speculative_tokens": 3}' - --compilation-config - '{"cudagraph_mode": "FULL_DECODE_ONLY"}' - --additional-config - '{"recompute_scheduler_enable": true}' - --kv-transfer-config - '{"kv_connector": "MooncakeConnectorV1", "kv_role": "kv_consumer", "kv_port": "30200", "engine_id": "2", "kv_connector_extra_config": {"use_ascend_direct": true, "prefill": {"dp_size": 4, "tp_size": 4}, "decode": {"dp_size": 8, "tp_size": 4}}}' - node_index: 3 envs: <<: *env_decode server_cmd_template: - --host - "0.0.0.0" - --port - $SERVER_PORT - --data-parallel-size - ${DP_SIZE} - --data-parallel-rank - ${DP_RANK} - --data-parallel-address - ${DP_ADDRESS} - --data-parallel-rpc-port - ${DP_RPC_PORT} - --tensor-parallel-size - ${TP_SIZE} - --enable-expert-parallel - --seed - "1024" - --max-model-len - "133720" - --max-num-batched-tokens - "32" - --max-num-seqs - "8" - --trust-remote-code - --gpu-memory-utilization - "0.91" - --quantization - "ascend" - --no-enable-prefix-caching - --speculative-config - '{"method": "eagle3", "model": "lightseekorg/kimi-k2.5-eagle3", "num_speculative_tokens": 3}' - --compilation-config - '{"cudagraph_mode": "FULL_DECODE_ONLY"}' - --additional-config - '{"recompute_scheduler_enable": true}' - --kv-transfer-config - '{"kv_connector": "MooncakeConnectorV1", "kv_role": "kv_consumer", "kv_port": "30200", "engine_id": "2", "kv_connector_extra_config": {"use_ascend_direct": true, "prefill": {"dp_size": 4, "tp_size": 4}, "decode": {"dp_size": 8, "tp_size": 4}}}' benchmarks: perf: case_type: performance dataset_path: vllm-ascend/GSM8K_prefix90_in131072_bs1000_kimi request_conf: vllm_api_stream_chat dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf trust_remote_code: true num_prompts: 512 max_out_len: 1024 batch_size: 128 request_rate: 3 baseline: 1 threshold: 0.95 acc_aime2025: case_type: accuracy dataset_path: vllm-ascend/aime2025 request_conf: vllm_api_general_chat dataset_conf: aime2025/aime2025_gen_0_shot_chat_prompt max_out_len: 65536 temperature: 0.0 top_p: 1 top_k: -1 repetition_penalty: 1.0 batch_size: 32 baseline: 95 threshold: 10 acc_GPQA: case_type: accuracy dataset_path: vllm-ascend/gpqa request_conf: vllm_api_general_chat dataset_conf: gpqa/gpqa_gen_0_shot_cot_chat_prompt max_out_len: 65536 batch_size: 32 baseline: 87.6 threshold: 5