# ========================================== # ACTUAL TEST CASES # ========================================== test_cases: - name: "DeepSeek-V3.2-W8A8-DCP-replicated-indexer" model: "vllm-ascend/DeepSeek-V3.2-W8A8" envs: VLLM_ASCEND_ENABLE_NZ: "1" HCCL_OP_EXPANSION_MODE: "AIV" OMP_PROC_BIND: "false" OMP_NUM_THREADS: "20" HCCL_BUFFSIZE: "768" PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True" VLLM_SERVER_DEV_MODE: "1" VLLM_WORKER_MULTIPROC_METHOD: "spawn" ASCEND_LAUNCH_BLOCKING: "0" ASCEND_ENABLE_USE_FABRIC_MEM: "1" VLLM_ASCEND_ENABLE_FLASHCOMM1: "1" VLLM_ASCEND_ENABLE_FUSED_MC2: "0" VLLM_ASCEND_ENABLE_MLAPO: "0" PYTHONHASHSEED: "0" ASCEND_A3_ENABLE: "1" VLLM_ENGINE_READY_TIMEOUT_S: "10000" VLLM_RPC_TIMEOUT: "3600000" VLLM_EXECUTE_MODEL_TIMEOUT_SECONDS: "30000" TASK_QUEUE_ENABLE: "1" CPU_AFFINITY_CONF: "1" SERVER_PORT: "DEFAULT_PORT" server_cmd: - "--port" - "$SERVER_PORT" - "--seed" - "1024" - "--max-model-len" - "8192" - "--max-num-batched-tokens" - "1024" - "--max-num-seqs" - "32" - "--trust-remote-code" - "--quantization" - "ascend" - "--data-parallel-size" - "1" - "--pipeline-parallel-size" - "1" - "--tensor-parallel-size" - "16" - "--prefill-context-parallel-size" - "1" - "--decode-context-parallel-size" - "16" - "--cp-kv-cache-interleave-size" - "1" - "--block-size" - "128" - "--enable-expert-parallel" - "--gpu-memory-utilization" - "0.95" - "--api-server-count" - "1" - "--safetensors-load-strategy" - "prefetch" - "--compilation-config" - '{"cudagraph_mode": "FULL_DECODE_ONLY", "cudagraph_capture_sizes":[4, 16, 64, 128]}' - "--additional-config" - '{"enable_dsa_cp": true, "ascend_compilation_config":{"enable_npugraph_ex": true, "enable_static_kernel": false}, "multistream_overlap_shared_expert": true, "enable_mc2_hierarchy_comm": false, "enable_sparse_sfa_c8": true, "enable_sparse_li_c8": true, "enable_cpu_binding": true, "recompute_scheduler_enable": false}' - "--speculative-config" - '{"num_speculative_tokens": 3, "method": "deepseek_mtp"}' test_content: [] benchmarks: acc_gsm8k: 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: 8192 batch_size: 32 baseline: 95 threshold: 5