(APIServer pid=2781293) INFO 07-12 17:22:11 [api_utils.py:339] (APIServer pid=2781293) INFO 07-12 17:22:11 [api_utils.py:339] █ █ █▄ ▄█ (APIServer pid=2781293) INFO 07-12 17:22:11 [api_utils.py:339] ▄▄ ▄█ █ █ █ ▀▄▀ █ version 0.24.1.dev3+g668cfb7e2 (APIServer pid=2781293) INFO 07-12 17:22:11 [api_utils.py:339] █▄█▀ █ █ █ █ model /home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B (APIServer pid=2781293) INFO 07-12 17:22:11 [api_utils.py:339] ▀▀ ▀▀▀▀▀ ▀▀▀▀▀ ▀ ▀ (APIServer pid=2781293) INFO 07-12 17:22:11 [api_utils.py:339] (APIServer pid=2781293) INFO 07-12 17:22:11 [api_utils.py:273] non-default args: {'model_tag': '/home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B', 'host': '127.0.0.1', 'port': 8709, 'model': '/home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B', 'served_model_name': ['qwen3-30b-a3b-community'], 'max_num_batched_tokens': 8192, 'max_num_seqs': 16, 'shutdown_timeout': 120} (APIServer pid=2781293) INFO 07-12 17:22:11 [model.py:598] Resolved architecture: Qwen3MoeForCausalLM (APIServer pid=2781293) INFO 07-12 17:22:11 [model.py:1725] Using max model len 40960 (APIServer pid=2781293) INFO 07-12 17:22:11 [scheduler.py:252] Chunked prefill is enabled with max_num_batched_tokens=8192. (APIServer pid=2781293) INFO 07-12 17:22:11 [vllm.py:1006] Asynchronous scheduling is enabled. (APIServer pid=2781293) INFO 07-12 17:22:11 [kernel.py:276] Final IR op priority after setting platform defaults: IrOpPriorityConfig(rms_norm=['native'], fused_add_rms_norm=['native']) (EngineCore pid=2781473) INFO 07-12 17:22:21 [core.py:114] Initializing a V1 LLM engine (v0.24.1.dev3+g668cfb7e2) with config: model='/home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B', speculative_config=None, tokenizer='/home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=40960, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, decode_context_parallel_size=1, dcp_comm_backend=ag_rs, disable_custom_all_reduce=False, quantization=None, quantization_config=None, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False, jit_monitor_verbose=False), seed=0, served_model_name=qwen3-30b-a3b-community, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'ir_enable_torch_wrap': True, 'splitting_ops': ['vllm::unified_attention_with_output', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::qwen_gdn_attention_core', 'vllm::gdn_attention_core_xpu', 'vllm::olmo_hybrid_gdn_full_forward', 'vllm::kda_attention', 'vllm::sparse_attn_indexer', 'vllm::rocm_aiter_sparse_attn_indexer', 'vllm::deepseek_v4_attention', 'vllm::unified_kv_cache_update', 'vllm::unified_mla_kv_cache_update'], 'compile_mm_encoder': False, 'cudagraph_mm_encoder': False, 'encoder_cudagraph_token_budgets': [], 'encoder_cudagraph_max_vision_items_per_batch': 0, 'encoder_cudagraph_max_frames_per_batch': None, 'compile_sizes': [], 'compile_ranges_endpoints': [8192], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'size_asserts': False, 'alignment_asserts': False, 'scalar_asserts': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [1, 2, 4, 8, 16, 24, 32], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False, 'fuse_rope_kvcache_cat_mla': False, 'fuse_act_padding': False}, 'max_cudagraph_capture_size': 32, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': False, 'static_all_moe_layers': []}, kernel_config=KernelConfig(ir_op_priority=IrOpPriorityConfig(rms_norm=['native'], fused_add_rms_norm=['native']), enable_flashinfer_autotune=True, moe_backend='auto', linear_backend='auto') (EngineCore pid=2781473) INFO 07-12 17:22:23 [parallel_state.py:1588] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://172.27.132.244:35361 backend=nccl (EngineCore pid=2781473) INFO 07-12 17:22:23 [parallel_state.py:1923] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank 0, EPLB rank N/A (EngineCore pid=2781473) INFO 07-12 17:22:24 [topk_topp_sampler.py:55] Using FlashInfer for top-p & top-k sampling. (EngineCore pid=2781473) INFO 07-12 17:22:24 [gpu_model_runner.py:5164] Starting to load model /home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B... (EngineCore pid=2781473) INFO 07-12 17:22:25 [cuda.py:480] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION']. (EngineCore pid=2781473) INFO 07-12 17:22:25 [flash_attn.py:670] Using FlashAttention version 3 (EngineCore pid=2781473) INFO 07-12 17:22:25 [unquantized.py:247] Using TRITON Unquantized MoE backend out of potential backends: ['TRITON', 'BATCHED_TRITON', 'FlashInfer TRTLLM', 'FlashInfer CUTLASS']. (EngineCore pid=2781473) INFO 07-12 17:22:25 [weight_utils.py:849] Filesystem type for checkpoints: FUSE.ALIYUN-ALINAS-EFC. Checkpoint size: 56.87 GiB. Available RAM: 1288.56 GiB. (EngineCore pid=2781473) INFO 07-12 17:22:25 [weight_utils.py:872] Auto-prefetch is disabled because the filesystem (FUSE.ALIYUN-ALINAS-EFC) is not a recognized network FS (NFS/Lustre). If you want to force prefetching, start vLLM with --safetensors-load-strategy=prefetch. (EngineCore pid=2781473) Loading safetensors checkpoint shards: 0% Completed | 0/16 [00:00