Scheduled Commit

vllm_0004000.log

@@ -11,3 +11,9 @@
 (APIServer pid=3232323) INFO 02-03 01:26:41 [model.py:1561] Using max model len 40960
 (APIServer pid=3232323) INFO 02-03 01:26:41 [scheduler.py:226] Chunked prefill is enabled with max_num_batched_tokens=8192.
 (APIServer pid=3232323) INFO 02-03 01:26:44 [vllm.py:624] Asynchronous scheduling is enabled.
+(EngineCore_DP0 pid=3233898) INFO 02-03 01:26:58 [core.py:96] Initializing a V1 LLM engine (v0.15.0) with config: model='Elfsong/VLM_stage_2_iter_0004000', speculative_config=None, tokenizer='Elfsong/VLM_stage_2_iter_0004000', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=40960, download_dir=None, load_format=bitsandbytes, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=bitsandbytes, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, 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), seed=0, served_model_name=Elfsong/VLM_stage_2_iter_0004000, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': ['vllm::unified_attention', 'vllm::unified_attention_with_output', 'vllm::unified_mla_attention', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::kda_attention', 'vllm::sparse_attn_indexer', 'vllm::rocm_aiter_sparse_attn_indexer'], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [8192], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, '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, 'eliminate_noops': True, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': 512, 'dynamic_shapes_config': {'type': <DynamicShapesType.BACKED: 'backed'>, 'evaluate_guards': False, 'assume_32_bit_indexing': True}, 'local_cache_dir': None}
+(EngineCore_DP0 pid=3233898) INFO 02-03 01:26:59 [parallel_state.py:1212] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://172.21.25.98:52225 backend=nccl
+(EngineCore_DP0 pid=3233898) INFO 02-03 01:26:59 [parallel_state.py:1423] 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
+(EngineCore_DP0 pid=3233898) INFO 02-03 01:27:00 [gpu_model_runner.py:4021] Starting to load model Elfsong/VLM_stage_2_iter_0004000...
+(EngineCore_DP0 pid=3233898) INFO 02-03 01:27:02 [cuda.py:364] Using FLASH_ATTN attention backend out of potential backends: ('FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION')
+(EngineCore_DP0 pid=3233898) INFO 02-03 01:27:03 [bitsandbytes_loader.py:786] Loading weights with BitsAndBytes quantization. May take a while ...

vllm_0005000.log

@@ -11,3 +11,9 @@
 (APIServer pid=3232791) INFO 02-03 01:26:46 [model.py:1561] Using max model len 40960
 (APIServer pid=3232791) INFO 02-03 01:26:46 [scheduler.py:226] Chunked prefill is enabled with max_num_batched_tokens=8192.
 (APIServer pid=3232791) INFO 02-03 01:26:50 [vllm.py:624] Asynchronous scheduling is enabled.
+(EngineCore_DP0 pid=3234476) INFO 02-03 01:27:03 [core.py:96] Initializing a V1 LLM engine (v0.15.0) with config: model='Elfsong/VLM_stage_2_iter_0005000', speculative_config=None, tokenizer='Elfsong/VLM_stage_2_iter_0005000', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=40960, download_dir=None, load_format=bitsandbytes, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=bitsandbytes, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, 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), seed=0, served_model_name=Elfsong/VLM_stage_2_iter_0005000, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': ['vllm::unified_attention', 'vllm::unified_attention_with_output', 'vllm::unified_mla_attention', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::kda_attention', 'vllm::sparse_attn_indexer', 'vllm::rocm_aiter_sparse_attn_indexer'], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [8192], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, '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, 'eliminate_noops': True, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': 512, 'dynamic_shapes_config': {'type': <DynamicShapesType.BACKED: 'backed'>, 'evaluate_guards': False, 'assume_32_bit_indexing': True}, 'local_cache_dir': None}
+(EngineCore_DP0 pid=3234476) INFO 02-03 01:27:04 [parallel_state.py:1212] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://172.21.25.98:54097 backend=nccl
+(EngineCore_DP0 pid=3234476) INFO 02-03 01:27:04 [parallel_state.py:1423] 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
+(EngineCore_DP0 pid=3234476) INFO 02-03 01:27:06 [gpu_model_runner.py:4021] Starting to load model Elfsong/VLM_stage_2_iter_0005000...
+(EngineCore_DP0 pid=3234476) INFO 02-03 01:27:08 [cuda.py:364] Using FLASH_ATTN attention backend out of potential backends: ('FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION')
+(EngineCore_DP0 pid=3234476) INFO 02-03 01:27:08 [bitsandbytes_loader.py:786] Loading weights with BitsAndBytes quantization. May take a while ...

vllm_0006000.log

@@ -7,3 +7,13 @@
 (APIServer pid=3233259) INFO 02-03 01:26:50 [utils.py:261] non-default args: {'port': 9002, 'model': 'Elfsong/VLM_stage_2_iter_0006000', 'trust_remote_code': True, 'quantization': 'bitsandbytes', 'gpu_memory_utilization': 0.3}
 (APIServer pid=3233259) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
 (APIServer pid=3233259) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+(APIServer pid=3233259) INFO 02-03 01:26:51 [model.py:541] Resolved architecture: Qwen3ForCausalLM
+(APIServer pid=3233259) INFO 02-03 01:26:51 [model.py:1561] Using max model len 40960
+(APIServer pid=3233259) INFO 02-03 01:26:52 [scheduler.py:226] Chunked prefill is enabled with max_num_batched_tokens=8192.
+(APIServer pid=3233259) INFO 02-03 01:26:55 [vllm.py:624] Asynchronous scheduling is enabled.
+(EngineCore_DP0 pid=3235235) INFO 02-03 01:27:09 [core.py:96] Initializing a V1 LLM engine (v0.15.0) with config: model='Elfsong/VLM_stage_2_iter_0006000', speculative_config=None, tokenizer='Elfsong/VLM_stage_2_iter_0006000', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=40960, download_dir=None, load_format=bitsandbytes, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=bitsandbytes, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, 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), seed=0, served_model_name=Elfsong/VLM_stage_2_iter_0006000, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': ['vllm::unified_attention', 'vllm::unified_attention_with_output', 'vllm::unified_mla_attention', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::kda_attention', 'vllm::sparse_attn_indexer', 'vllm::rocm_aiter_sparse_attn_indexer'], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [8192], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, '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, 'eliminate_noops': True, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': 512, 'dynamic_shapes_config': {'type': <DynamicShapesType.BACKED: 'backed'>, 'evaluate_guards': False, 'assume_32_bit_indexing': True}, 'local_cache_dir': None}
+(EngineCore_DP0 pid=3235235) INFO 02-03 01:27:10 [parallel_state.py:1212] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://172.21.25.98:60911 backend=nccl
+(EngineCore_DP0 pid=3235235) INFO 02-03 01:27:10 [parallel_state.py:1423] 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
+(EngineCore_DP0 pid=3235235) INFO 02-03 01:27:11 [gpu_model_runner.py:4021] Starting to load model Elfsong/VLM_stage_2_iter_0006000...
+(EngineCore_DP0 pid=3235235) INFO 02-03 01:27:13 [cuda.py:364] Using FLASH_ATTN attention backend out of potential backends: ('FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION')
+(EngineCore_DP0 pid=3235235) INFO 02-03 01:27:14 [bitsandbytes_loader.py:786] Loading weights with BitsAndBytes quantization. May take a while ...

vllm_0007000.log

@@ -0,0 +1,19 @@
+(APIServer pid=3233856) INFO 02-03 01:26:55 [utils.py:325] 
+(APIServer pid=3233856) INFO 02-03 01:26:55 [utils.py:325]        █     █     █▄   ▄█
+(APIServer pid=3233856) INFO 02-03 01:26:55 [utils.py:325]  ▄▄ ▄█ █     █     █ ▀▄▀ █  version 0.15.0
+(APIServer pid=3233856) INFO 02-03 01:26:55 [utils.py:325]   █▄█▀ █     █     █     █  model   Elfsong/VLM_stage_2_iter_0007000
+(APIServer pid=3233856) INFO 02-03 01:26:55 [utils.py:325]    ▀▀  ▀▀▀▀▀ ▀▀▀▀▀ ▀     ▀
+(APIServer pid=3233856) INFO 02-03 01:26:55 [utils.py:325] 
+(APIServer pid=3233856) INFO 02-03 01:26:55 [utils.py:261] non-default args: {'port': 9003, 'model': 'Elfsong/VLM_stage_2_iter_0007000', 'trust_remote_code': True, 'quantization': 'bitsandbytes', 'gpu_memory_utilization': 0.3}
+(APIServer pid=3233856) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+(APIServer pid=3233856) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
+(APIServer pid=3233856) INFO 02-03 01:26:57 [model.py:541] Resolved architecture: Qwen3ForCausalLM
+(APIServer pid=3233856) INFO 02-03 01:26:57 [model.py:1561] Using max model len 40960
+(APIServer pid=3233856) INFO 02-03 01:26:57 [scheduler.py:226] Chunked prefill is enabled with max_num_batched_tokens=8192.
+(APIServer pid=3233856) INFO 02-03 01:27:00 [vllm.py:624] Asynchronous scheduling is enabled.
+(EngineCore_DP0 pid=3236204) INFO 02-03 01:27:14 [core.py:96] Initializing a V1 LLM engine (v0.15.0) with config: model='Elfsong/VLM_stage_2_iter_0007000', speculative_config=None, tokenizer='Elfsong/VLM_stage_2_iter_0007000', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=40960, download_dir=None, load_format=bitsandbytes, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=bitsandbytes, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, 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), seed=0, served_model_name=Elfsong/VLM_stage_2_iter_0007000, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'level': None, 'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': ['vllm::unified_attention', 'vllm::unified_attention_with_output', 'vllm::unified_mla_attention', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::kda_attention', 'vllm::sparse_attn_indexer', 'vllm::rocm_aiter_sparse_attn_indexer'], 'compile_mm_encoder': False, 'compile_sizes': [], 'compile_ranges_split_points': [8192], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, '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, 'eliminate_noops': True, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': 512, 'dynamic_shapes_config': {'type': <DynamicShapesType.BACKED: 'backed'>, 'evaluate_guards': False, 'assume_32_bit_indexing': True}, 'local_cache_dir': None}
+(EngineCore_DP0 pid=3236204) INFO 02-03 01:27:15 [parallel_state.py:1212] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://172.21.25.98:33921 backend=nccl
+(EngineCore_DP0 pid=3236204) INFO 02-03 01:27:15 [parallel_state.py:1423] 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
+(EngineCore_DP0 pid=3236204) INFO 02-03 01:27:16 [gpu_model_runner.py:4021] Starting to load model Elfsong/VLM_stage_2_iter_0007000...
+(EngineCore_DP0 pid=3236204) INFO 02-03 01:27:18 [cuda.py:364] Using FLASH_ATTN attention backend out of potential backends: ('FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION')
+(EngineCore_DP0 pid=3236204) INFO 02-03 01:27:19 [bitsandbytes_loader.py:786] Loading weights with BitsAndBytes quantization. May take a while ...