[rejudge helpsteer2] arms=1 tasks=16000 INFO 08-06 19:17:18 [api_utils.py:273] non-default args: {'seed': 42, 'max_model_len': 4096, 'enable_prefix_caching': True, 'disable_log_stats': True, 'model': '/NHNHOME/AIPR/sjkim/xj_judges/models--meta-llama--Llama-3.3-70B-Instruct/snapshots/6f6073b423013f6a7d4d9f39144961bfbfbc386b/'} INFO 08-06 19:17:18 [model.py:619] Resolved architecture: LlamaForCausalLM INFO 08-06 19:17:18 [model.py:1776] Using max model len 4096 INFO 08-06 19:17:18 [scheduler.py:252] Chunked prefill is enabled with max_num_batched_tokens=16384. INFO 08-06 19:17:18 [vllm.py:1042] Asynchronous scheduling is enabled. INFO 08-06 19:17:18 [kernel.py:292] Final IR op priority after setting platform defaults: IrOpPriorityConfig(rms_norm=['native'], fused_add_rms_norm=['native']) (EngineCore pid=2558709) INFO 08-06 19:17:29 [core.py:114] Initializing a V1 LLM engine (v0.25.1) with config: model='/NHNHOME/AIPR/sjkim/xj_judges/models--meta-llama--Llama-3.3-70B-Instruct/snapshots/6f6073b423013f6a7d4d9f39144961bfbfbc386b/', speculative_config=None, tokenizer='/NHNHOME/AIPR/sjkim/xj_judges/models--meta-llama--Llama-3.3-70B-Instruct/snapshots/6f6073b423013f6a7d4d9f39144961bfbfbc386b/', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=4096, 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_mode='warn', jit_monitor_verbose=False), seed=42, served_model_name=/NHNHOME/AIPR/sjkim/xj_judges/models--meta-llama--Llama-3.3-70B-Instruct/snapshots/6f6073b423013f6a7d4d9f39144961bfbfbc386b/, 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::hpc_rope_norm_forward', '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': [16384], '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, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 272, 288, 304, 320, 336, 352, 368, 384, 400, 416, 432, 448, 464, 480, 496, 512], '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': 512, '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, enable_cutedsl_warmup=True, moe_backend='auto', linear_backend='auto') (EngineCore pid=2558709) INFO 08-06 19:17:30 [parallel_state.py:1607] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://172.18.0.4:59577 backend=nccl (EngineCore pid=2558709) INFO 08-06 19:17:30 [parallel_state.py:1942] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A (EngineCore pid=2558709) INFO 08-06 19:17:30 [gpu_worker.py:360] Using V2 Model Runner (EngineCore pid=2558709) INFO 08-06 19:17:31 [model_runner.py:281] Loading model from scratch... (EngineCore pid=2558709) INFO 08-06 19:17:32 [cuda.py:476] Using FLASHINFER attention backend out of potential backends: ['FLASHINFER', 'FLASH_ATTN', 'TRITON_ATTN', 'FLEX_ATTENTION']. (EngineCore pid=2558709) INFO 08-06 19:17:32 [selector.py:138] Using HND KV cache layout for FLASHINFER backend. (EngineCore pid=2558709) INFO 08-06 19:17:32 [weight_utils.py:849] Filesystem type for checkpoints: LUSTRE. Checkpoint size: 131.42 GiB. Available RAM: 1271.37 GiB. (EngineCore pid=2558709) INFO 08-06 19:17:32 [weight_utils.py:811] Prefetching checkpoint files into page cache started (in background, num_threads=8, block_size=16777216 bytes) (EngineCore pid=2558709) Loading safetensors checkpoint shards: 0% Completed | 0/30 [00:00, '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::hpc_rope_norm_forward', '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': [16384], '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, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 272, 288, 304, 320, 336, 352, 368, 384, 400, 416, 432, 448, 464, 480, 496, 512], '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': 512, '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, enable_cutedsl_warmup=True, moe_backend='auto', linear_backend='auto') (EngineCore pid=2614490) INFO 08-06 19:33:50 [parallel_state.py:1607] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://172.18.0.4:55627 backend=nccl (EngineCore pid=2614490) INFO 08-06 19:33:50 [parallel_state.py:1942] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A (EngineCore pid=2614490) INFO 08-06 19:33:50 [gpu_worker.py:360] Using V2 Model Runner (EngineCore pid=2614490) INFO 08-06 19:33:51 [model_runner.py:281] Loading model from scratch... (EngineCore pid=2614490) INFO 08-06 19:33:52 [cuda.py:476] Using FLASHINFER attention backend out of potential backends: ['FLASHINFER', 'FLASH_ATTN', 'TRITON_ATTN', 'FLEX_ATTENTION']. (EngineCore pid=2614490) INFO 08-06 19:33:52 [selector.py:138] Using HND KV cache layout for FLASHINFER backend. (EngineCore pid=2614490) INFO 08-06 19:33:53 [weight_utils.py:849] Filesystem type for checkpoints: LUSTRE. Checkpoint size: 27.31 GiB. Available RAM: 1237.65 GiB. (EngineCore pid=2614490) INFO 08-06 19:33:53 [weight_utils.py:811] Prefetching checkpoint files into page cache started (in background, num_threads=8, block_size=16777216 bytes) (EngineCore pid=2614490) Loading safetensors checkpoint shards: 0% Completed | 0/6 [00:00