[Bug]: AttributeError: 'Qwen2_5OmniConfig' object has no attribute 'num_attention_heads'

[jieguolove]

Your current environment

just look here:
https://github.com/huggingface/transformers/issues/37515#issuecomment-2804126324

🐛 Describe the bug

`System Info
root@445d74596699:/vllm-workspace# transformers-cli env

Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.

transformers version: 4.52.0.dev0
Platform: Linux-5.15.0-43-generic-x86_64-with-glibc2.35
Python version: 3.12.9
Huggingface_hub version: 0.30.2
Safetensors version: 0.5.3
Accelerate version: 1.5.2
Accelerate config: not found
DeepSpeed version: not installed
PyTorch version (GPU?): 2.6.0+cu124 (True)
Tensorflow version (GPU?): not installed (NA)
Flax version (CPU?/GPU?/TPU?): not installed (NA)
Jax version: not installed
JaxLib version: not installed
Using distributed or parallel set-up in script?:
Using GPU in script?:
GPU type: NVIDIA L20
`(base) root@node15:/disk2/Qwen2.5-Omni-7B# more docker-compose.yml
#version: '3.3'
services:

vllm
vllm-openai:
image: vllm/vllm-openai:v0.8.2
container_name: Qwen2.5-Omni-7B
restart: unless-stopped
runtime: nvidia
ports:

• 8007:8000
  volumes:
• /disk2:/models
  command: >
  --model /models/Qwen2.5-Omni-7B
  --tokenizer_mode="auto"
  --trust-remote-code
  --dtype=bfloat16
  --max_num_seqs=256
  --tensor_parallel_size=1
  --gpu-memory-utilization=0.9
  --max-model-len=65536
  --served-model-name=Qwen2.5-Omni-7B
  deploy:
  resources:
  reservations:
  devices:
• driver: nvidia
  capabilities: [gpu]
  device_ids: [ "1" ]
  ipc: host
  networks:
  vllm:
  (base) root@node15:/disk2/Qwen2.5-Omni-7B# docker commit 445d74596699 vllm/vllm-openai:v0.8.2
  sha256:fdf1171c4bc4edc473bb3857597124ae73176c1691a27befccb4360c81ff0d60
  (base) root@node15:/disk2/Qwen2.5-Omni-7B# docker compose -f docker-compose.yml up -d
  [+] Running 2/2
  ✔ Network qwen25-omni-7b_default Created 0.0s
  ✔ Container Qwen2.5-Omni-7B Started 0.6s
  (base) root@node15:/disk2/Qwen2.5-Omni-7B# docker logs -f Qwen2.5-Omni-7B
  INFO 04-15 00:06:11 [init.py:239] Automatically detected platform cuda.
  INFO 04-15 00:06:13 [api_server.py:981] vLLM API server version 0.8.2
  INFO 04-15 00:06:13 [api_server.py:982] args: Namespace(host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=[''], allowed_methods=[''], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='/models/Qwen2.5-Omni-7B', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, allowed_local_media_path=None, download_dir=None, load_format='auto', config_format=<ConfigFormat.AUTO: 'auto'>, dtype='bfloat16', kv_cache_dtype='auto', max_model_len=65536, guided_decoding_backend='xgrammar', logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, block_size=None, enable_prefix_caching=None, disable_sliding_window=False, use_v2_block_manager=True, num_lookahead_slots=0, seed=None, swap_space=4, cpu_offload_gb=0, gpu_memory_utilization=0.9, num_gpu_blocks_override=None, max_num_batched_tokens=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, max_num_seqs=256, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_overrides=None, enforce_eager=False, 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, disable_mm_preprocessor_cache=False, enable_lora=False, enable_lora_bias=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, use_tqdm_on_load=True, multi_step_stream_outputs=True, scheduler_delay_factor=0.0, enable_chunked_prefill=None, speculative_config=None, 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=['Qwen2.5-Omni-7B'], qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, scheduling_policy='fcfs', scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, calculate_kv_scales=False, additional_config=None, enable_reasoning=False, reasoning_parser=None, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)
  Unrecognized keys in rope_scaling for 'rope_type'='default': {'mrope_section'}
  INFO 04-15 00:06:22 [config.py:585] This model supports multiple tasks: {'reward', 'generate', 'classify', 'score', 'embed'}. Defaulting to 'generate'.
  INFO 04-15 00:06:22 [config.py:1697] Chunked prefill is enabled with max_num_batched_tokens=2048.
  INFO 04-15 00:06:24 [core.py:54] Initializing a V1 LLM engine (v0.8.2) with config: model='/models/Qwen2.5-Omni-7B', speculative_config=None, tokenizer='/models/Qwen2.5-Omni-7B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=65536, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='xgrammar', reasoning_backend=None), observability_config=ObservabilityConfig(show_hidden_metrics=False, otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=None, served_model_name=Qwen2.5-Omni-7B, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, disable_mm_preprocessor_cache=False, mm_processor_kwargs=None, pooler_config=None, compilation_config={"level":3,"custom_ops":["none"],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":512}
  WARNING 04-15 00:06:25 [utils.py:2321] Methods determine_num_available_blocks,device_config,get_cache_block_size_bytes,initialize_cache not implemented in <vllm.v1.worker.gpu_worker.Worker object at 0x7fabea685df0>
  INFO 04-15 00:06:26 [parallel_state.py:954] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0
  ERROR 04-15 00:06:26 [core.py:343] EngineCore hit an exception: Traceback (most recent call last):
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 335, in run_engine_core
  ERROR 04-15 00:06:26 [core.py:343] engine_core = EngineCoreProc(*args, **kwargs)
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 290, in init
  ERROR 04-15 00:06:26 [core.py:343] super().init(vllm_config, executor_class, log_stats)
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 60, in init
  ERROR 04-15 00:06:26 [core.py:343] self.model_executor = executor_class(vllm_config)
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/executor/executor_base.py", line 52, in init
  ERROR 04-15 00:06:26 [core.py:343] self._init_executor()
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/executor/uniproc_executor.py", line 46, in _init_executor
  ERROR 04-15 00:06:26 [core.py:343] self.collective_rpc("init_device")
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/executor/uniproc_executor.py", line 56, in collective_rpc
  ERROR 04-15 00:06:26 [core.py:343] answer = run_method(self.driver_worker, method, args, kwargs)
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/utils.py", line 2255, in run_method
  ERROR 04-15 00:06:26 [core.py:343] return func(*args, **kwargs)
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker_base.py", line 604, in init_device
  ERROR 04-15 00:06:26 [core.py:343] self.worker.init_device() # type: ignore
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_worker.py", line 120, in init_device
  ERROR 04-15 00:06:26 [core.py:343] self.model_runner: GPUModelRunner = GPUModelRunner(
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_model_runner.py", line 106, in init
  ERROR 04-15 00:06:26 [core.py:343] self.num_kv_heads = model_config.get_num_kv_heads(parallel_config)
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/config.py", line 884, in get_num_kv_heads
  ERROR 04-15 00:06:26 [core.py:343] total_num_kv_heads = self.get_total_num_kv_heads()
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/vllm/config.py", line 876, in get_total_num_kv_heads
  ERROR 04-15 00:06:26 [core.py:343] return self.hf_text_config.num_attention_heads
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] File "/usr/local/lib/python3.12/dist-packages/transformers/configuration_utils.py", line 211, in getattribute
  ERROR 04-15 00:06:26 [core.py:343] return super().getattribute(key)
  ERROR 04-15 00:06:26 [core.py:343] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  ERROR 04-15 00:06:26 [core.py:343] AttributeError: 'Qwen2_5OmniConfig' object has no attribute 'num_attention_heads'
  ERROR 04-15 00:06:26 [core.py:343]
  CRITICAL 04-15 00:06:26 [core_client.py:269] Got fatal signal from worker processes, shutting down. See stack trace above for root cause issue.`

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[lengrongfu]

Current vllm not support Qwen2_5Omni #16347.