/usr/local/corex/lib/python3/dist-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
  import pynvml  # type: ignore[import]
INFO 07-14 17:05:49 importing.py:10] Triton not installed; certain GPU-related functions will not be available.
2026-07-14 17:05:51.416940: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2026-07-14 17:05:51.468510: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
INFO 07-14 17:05:56 api_server.py:530] vLLM API server version 0.6.3
INFO 07-14 17:05:56 api_server.py:531] args: Namespace(host='0.0.0.0', port=1111, uvicorn_log_level='info', allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=True, enable_auto_tool_choice=True, tool_call_parser='qwen3_coder', tool_parser_plugin='', reasoning_parser='qwen3', model='/root/public-storage/models/Qwen/Qwen3.6-35B-A3B', tokenizer=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, download_dir=None, load_format='auto', config_format='auto', dtype='auto', kv_cache_dtype='auto', quantization_param_path=None, max_model_len=100000, guided_decoding_backend='outlines', distributed_executor_backend=None, worker_use_ray=False, pipeline_parallel_size=1, tensor_parallel_size=4, max_parallel_loading_workers=None, ray_workers_use_nsight=False, block_size=16, enable_prefix_caching=True, disable_sliding_window=False, use_v2_block_manager=True, num_lookahead_slots=0, seed=0, swap_space=4, cpu_offload_gb=0, gpu_memory_utilization=0.9, num_gpu_blocks_override=None, max_num_batched_tokens=8192, max_num_seqs=2, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, enforce_eager=True, max_context_len_to_capture=None, max_seq_len_to_capture=8192, disable_custom_all_reduce=False, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config=None, limit_mm_per_prompt=None, mm_processor_kwargs=None, enable_lora=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=False, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', num_scheduler_steps=1, multi_step_stream_outputs=True, scheduler_delay_factor=0.0, enable_chunked_prefill=True, speculative_model=None, speculative_model_quantization=None, num_speculative_tokens=None, speculative_disable_mqa_scorer=False, speculative_draft_tensor_parallel_size=None, speculative_max_model_len=None, speculative_disable_by_batch_size=None, ngram_prompt_lookup_max=None, ngram_prompt_lookup_min=None, spec_decoding_acceptance_method='rejection_sampler', typical_acceptance_sampler_posterior_threshold=None, typical_acceptance_sampler_posterior_alpha=None, disable_logprobs_during_spec_decoding=None, model_loader_extra_config=None, ignore_patterns=[], preemption_mode=None, served_model_name=['llm'], qlora_adapter_name_or_path=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, override_neuron_config=None, scheduling_policy='fcfs', disable_log_requests=True, max_log_len=None, disable_fastapi_docs=False)
INFO 07-14 17:05:56 config.py:1670] Downcasting torch.float32 to torch.float16.
INFO 07-14 17:06:07 config.py:887] Defaulting to use mp for distributed inference
INFO 07-14 17:06:07 config.py:1005] Chunked prefill is enabled with max_num_batched_tokens=8192.
WARNING 07-14 17:06:07 config.py:380] To see benefits of async output processing, enable CUDA graph. Since, enforce-eager is enabled, async output processor cannot be used
INFO 07-14 17:06:07 llm_engine.py:237] Initializing an LLM engine (v0.6.3) with config: model='/root/public-storage/models/Qwen/Qwen3.6-35B-A3B', speculative_config=None, tokenizer='/root/public-storage/models/Qwen/Qwen3.6-35B-A3B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, rope_scaling=None, rope_theta=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.float16, max_seq_len=100000, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=4, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='outlines'), observability_config=ObservabilityConfig(otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=0, served_model_name=llm, use_v2_block_manager=True, num_scheduler_steps=1, chunked_prefill_enabled=True multi_step_stream_outputs=True, enable_prefix_caching=True, use_async_output_proc=False, use_cached_outputs=False, mm_processor_kwargs=None)
WARNING 07-14 17:06:08 multiproc_gpu_executor.py:53] Reducing Torch parallelism from 64 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed.
INFO 07-14 17:06:08 custom_cache_manager.py:17] Setting Triton cache manager to: vllm.triton_utils.custom_cache_manager:CustomCacheManager
INFO 07-14 17:06:08 selector.py:266] Cannot use FlashAttention-2 backend because the vllm.vllm_flash_attn package is not found. Make sure that vllm_flash_attn was built and installed (on by default).
INFO 07-14 17:06:08 selector.py:115] Using XFormers backend.
/usr/local/corex/lib/python3/dist-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
  import pynvml  # type: ignore[import]
/usr/local/corex/lib/python3/dist-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
  import pynvml  # type: ignore[import]
/usr/local/corex/lib/python3/dist-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
  import pynvml  # type: ignore[import]
INFO 07-14 17:06:10 importing.py:10] Triton not installed; certain GPU-related functions will not be available.
INFO 07-14 17:06:10 importing.py:10] Triton not installed; certain GPU-related functions will not be available.
INFO 07-14 17:06:10 importing.py:10] Triton not installed; certain GPU-related functions will not be available.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
(VllmWorkerProcess pid=19084) INFO 07-14 17:06:18 selector.py:266] Cannot use FlashAttention-2 backend because the vllm.vllm_flash_attn package is not found. Make sure that vllm_flash_attn was built and installed (on by default).
(VllmWorkerProcess pid=19084) INFO 07-14 17:06:18 selector.py:115] Using XFormers backend.
(VllmWorkerProcess pid=19084) INFO 07-14 17:06:18 multiproc_worker_utils.py:216] Worker ready; awaiting tasks
(VllmWorkerProcess pid=19083) INFO 07-14 17:06:18 selector.py:266] Cannot use FlashAttention-2 backend because the vllm.vllm_flash_attn package is not found. Make sure that vllm_flash_attn was built and installed (on by default).
(VllmWorkerProcess pid=19083) INFO 07-14 17:06:18 selector.py:115] Using XFormers backend.
(VllmWorkerProcess pid=19083) INFO 07-14 17:06:18 multiproc_worker_utils.py:216] Worker ready; awaiting tasks
(VllmWorkerProcess pid=19085) INFO 07-14 17:06:18 selector.py:266] Cannot use FlashAttention-2 backend because the vllm.vllm_flash_attn package is not found. Make sure that vllm_flash_attn was built and installed (on by default).
(VllmWorkerProcess pid=19085) INFO 07-14 17:06:18 selector.py:115] Using XFormers backend.
(VllmWorkerProcess pid=19085) INFO 07-14 17:06:18 multiproc_worker_utils.py:216] Worker ready; awaiting tasks
INFO 07-14 17:06:19 shm_broadcast.py:242] vLLM message queue communication handle: Handle(connect_ip='127.0.0.1', local_reader_ranks=[1, 2, 3], buffer=<vllm.distributed.device_communicators.shm_broadcast.ShmRingBuffer object at 0x7f253b4a9570>, local_subscribe_port=47013, remote_subscribe_port=None)
(VllmWorkerProcess pid=19083) INFO 07-14 17:06:19 model_runner.py:1112] Starting to load model /root/public-storage/models/Qwen/Qwen3.6-35B-A3B...
INFO 07-14 17:06:19 model_runner.py:1112] Starting to load model /root/public-storage/models/Qwen/Qwen3.6-35B-A3B...
(VllmWorkerProcess pid=19084) INFO 07-14 17:06:19 model_runner.py:1112] Starting to load model /root/public-storage/models/Qwen/Qwen3.6-35B-A3B...
(VllmWorkerProcess pid=19085) INFO 07-14 17:06:19 model_runner.py:1112] Starting to load model /root/public-storage/models/Qwen/Qwen3.6-35B-A3B...
INFO 07-14 17:06:19 selector.py:266] Cannot use FlashAttention-2 backend because the vllm.vllm_flash_attn package is not found. Make sure that vllm_flash_attn was built and installed (on by default).
INFO 07-14 17:06:19 selector.py:115] Using XFormers backend.
(VllmWorkerProcess pid=19083) INFO 07-14 17:06:19 selector.py:266] Cannot use FlashAttention-2 backend because the vllm.vllm_flash_attn package is not found. Make sure that vllm_flash_attn was built and installed (on by default).
(VllmWorkerProcess pid=19085) INFO 07-14 17:06:19 selector.py:266] Cannot use FlashAttention-2 backend because the vllm.vllm_flash_attn package is not found. Make sure that vllm_flash_attn was built and installed (on by default).
(VllmWorkerProcess pid=19083) INFO 07-14 17:06:19 selector.py:115] Using XFormers backend.
(VllmWorkerProcess pid=19085) INFO 07-14 17:06:19 selector.py:115] Using XFormers backend.
(VllmWorkerProcess pid=19084) INFO 07-14 17:06:19 selector.py:266] Cannot use FlashAttention-2 backend because the vllm.vllm_flash_attn package is not found. Make sure that vllm_flash_attn was built and installed (on by default).
(VllmWorkerProcess pid=19084) INFO 07-14 17:06:19 selector.py:115] Using XFormers backend.

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INFO 07-14 17:06:58 model_runner.py:1123] Loading model weights took 16.2303 GB
(VllmWorkerProcess pid=19083) INFO 07-14 17:07:00 model_runner.py:1123] Loading model weights took 16.2303 GB
(VllmWorkerProcess pid=19085) INFO 07-14 17:07:01 model_runner.py:1123] Loading model weights took 16.2303 GB
(VllmWorkerProcess pid=19084) INFO 07-14 17:07:01 model_runner.py:1123] Loading model weights took 16.2303 GB
INFO 07-14 17:07:09 distributed_gpu_executor.py:57] # GPU blocks: 18502, # CPU blocks: 6553
INFO 07-14 17:07:09 distributed_gpu_executor.py:61] Maximum concurrency for 100000 tokens per request: 2.96x
INFO 07-14 17:07:13 serving_chat.py:79] "auto" tool choice has been enabled please note that while the parallel_tool_calls client option is preset for compatibility reasons, it will be ignored.
INFO 07-14 17:07:13 serving_chat.py:101] Reasoning parser 'qwen3' enabled.
WARNING 07-14 17:07:13 serving_embedding.py:199] embedding_mode is False. Embedding API will not work.
INFO 07-14 17:07:13 launcher.py:19] Available routes are:
INFO 07-14 17:07:13 launcher.py:27] Route: /openapi.json, Methods: GET, HEAD
INFO 07-14 17:07:13 launcher.py:27] Route: /docs, Methods: GET, HEAD
INFO 07-14 17:07:13 launcher.py:27] Route: /docs/oauth2-redirect, Methods: GET, HEAD
INFO 07-14 17:07:13 launcher.py:27] Route: /redoc, Methods: GET, HEAD
INFO 07-14 17:07:13 launcher.py:27] Route: /health, Methods: GET
INFO 07-14 17:07:13 launcher.py:27] Route: /tokenize, Methods: POST
INFO 07-14 17:07:13 launcher.py:27] Route: /detokenize, Methods: POST
INFO 07-14 17:07:13 launcher.py:27] Route: /v1/models, Methods: GET
INFO 07-14 17:07:13 launcher.py:27] Route: /version, Methods: GET
INFO 07-14 17:07:13 launcher.py:27] Route: /v1/chat/completions, Methods: POST
INFO 07-14 17:07:13 launcher.py:27] Route: /v1/completions, Methods: POST
INFO 07-14 17:07:13 launcher.py:27] Route: /v1/embeddings, Methods: POST
INFO:     Started server process [18738]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on socket ('0.0.0.0', 1111) (Press CTRL+C to quit)
INFO:     127.0.0.1:37776 - "GET /health HTTP/1.1" 200 OK
INFO:     127.0.0.1:37780 - "POST /v1/chat/completions HTTP/1.1" 200 OK
/usr/local/lib/python3.10/site-packages/pyairports/airports.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  from pkg_resources import resource_string
INFO 07-14 17:07:22 metrics.py:345] Avg prompt throughput: 4.3 tokens/s, Avg generation throughput: 0.1 tokens/s, Running: 1 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.0%, CPU KV cache usage: 0.0%.
INFO 07-14 17:07:22 metrics.py:361] Prefix cache hit rate: GPU: 0.00%, CPU: 0.00%
INFO:     127.0.0.1:33406 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO:     127.0.0.1:33408 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 07-14 17:07:28 metrics.py:345] Avg prompt throughput: 13.4 tokens/s, Avg generation throughput: 5.7 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.0%, CPU KV cache usage: 0.0%.
INFO 07-14 17:07:28 metrics.py:361] Prefix cache hit rate: GPU: 66.67%, CPU: 0.00%
INFO 07-14 17:07:33 metrics.py:345] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 12.2 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.0%, CPU KV cache usage: 0.0%.
INFO 07-14 17:07:33 metrics.py:361] Prefix cache hit rate: GPU: 66.67%, CPU: 0.00%
INFO 07-14 17:07:38 metrics.py:345] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 13.0 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.1%, CPU KV cache usage: 0.0%.
INFO 07-14 17:07:38 metrics.py:361] Prefix cache hit rate: GPU: 66.67%, CPU: 0.00%
INFO 07-14 17:07:43 metrics.py:345] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 12.8 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.1%, CPU KV cache usage: 0.0%.
INFO 07-14 17:07:43 metrics.py:361] Prefix cache hit rate: GPU: 66.67%, CPU: 0.00%
INFO:     127.0.0.1:53420 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO:     127.0.0.1:53432 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 07-14 17:07:50 metrics.py:345] Avg prompt throughput: 12.0 tokens/s, Avg generation throughput: 9.9 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.0%, CPU KV cache usage: 0.0%.
INFO 07-14 17:07:50 metrics.py:361] Prefix cache hit rate: GPU: 80.00%, CPU: 0.00%
INFO 07-14 17:07:55 metrics.py:345] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 13.2 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.0%, CPU KV cache usage: 0.0%.
INFO 07-14 17:07:55 metrics.py:361] Prefix cache hit rate: GPU: 80.00%, CPU: 0.00%
INFO 07-14 17:08:00 metrics.py:345] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 12.7 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.0%, CPU KV cache usage: 0.0%.
INFO 07-14 17:08:00 metrics.py:361] Prefix cache hit rate: GPU: 80.00%, CPU: 0.00%
INFO 07-14 17:08:05 metrics.py:345] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 12.5 tokens/s, Running: 2 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.1%, CPU KV cache usage: 0.0%.
INFO 07-14 17:08:05 metrics.py:361] Prefix cache hit rate: GPU: 80.00%, CPU: 0.00%
INFO 07-14 17:08:10 launcher.py:57] Shutting down FastAPI HTTP server.
INFO:     Shutting down
INFO:     Waiting for application shutdown.
INFO:     Application shutdown complete.
INFO 07-14 17:08:10 async_llm_engine.py:63] Engine is gracefully shutting down.
INFO 07-14 17:08:10 multiproc_worker_utils.py:134] Terminating local vLLM worker processes
(VllmWorkerProcess pid=19083) INFO 07-14 17:08:10 multiproc_worker_utils.py:242] Worker exiting
(VllmWorkerProcess pid=19084) INFO 07-14 17:08:10 multiproc_worker_utils.py:242] Worker exiting
(VllmWorkerProcess pid=19085) INFO 07-14 17:08:10 multiproc_worker_utils.py:242] Worker exiting
/usr/local/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '