[New Model]: Qwen/Qwen2.5-VL-72B-Instruct

[Motoroller89]

The model to consider.

Current error that vllm does not support the Qwen2_5_VLForConditionalGeneration architecture

Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/user/.local/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 774, in
uvloop.run(run_server(args))
File "/home/user/.local/lib/python3.10/site-packages/uvloop/init.py", line 82, in run
return loop.run_until_complete(wrapper())
File "uvloop/loop.pyx", line 1517, in uvloop.loop.Loop.run_until_complete
File "/home/user/.local/lib/python3.10/site-packages/uvloop/init.py", line 61, in wrapper
return await main
File "/home/user/.local/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 740, in run_server
async with build_async_engine_client(args) as engine_client:
File "/usr/lib/python3.10/contextlib.py", line 199, in aenter
return await anext(self.gen)
File "/home/user/.local/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 118, in build_async_engine_client
async with build_async_engine_client_from_engine_args(
File "/usr/lib/python3.10/contextlib.py", line 199, in aenter
return await anext(self.gen)
File "/home/user/.local/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 210, in build_async_engine_client_from_engine_args
engine_config = engine_args.create_engine_config()
File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/arg_utils.py", line 1044, in create_engine_config
model_config = self.create_model_config()
File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/arg_utils.py", line 970, in create_model_config
return ModelConfig(
File "/home/user/.local/lib/python3.10/site-packages/vllm/config.py", line 337, in init
self.multimodal_config = self._init_multimodal_config(
File "/home/user/.local/lib/python3.10/site-packages/vllm/config.py", line 392, in _init_multimodal_config
if ModelRegistry.is_multimodal_model(architectures):
File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 461, in is_multimodal_model
model_cls, _ = self.inspect_model_cls(architectures)
File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 421, in inspect_model_cls
return self._raise_for_unsupported(architectures)
File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 382, in _raise_for_unsupported
raise ValueError(
ValueError: Model architectures ['Qwen2_5_VLForConditionalGeneration'] are not supported for now. Supported architectures: dict_keys(['AquilaModel', 'AquilaForCausalLM', 'ArcticForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'CohereForCausalLM', 'Cohere2ForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'DeepseekV2ForCausalLM', 'DeepseekV3ForCausalLM', 'ExaoneForCausalLM', 'FalconForCausalLM', 'GemmaForCausalLM', 'Gemma2ForCausalLM', 'GlmForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'GraniteForCausalLM', 'GraniteMoeForCausalLM', 'GritLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'InternLM2VEForCausalLM', 'JAISLMHeadModel', 'JambaForCausalLM', 'LlamaForCausalLM', 'LLaMAForCausalLM', 'MambaForCausalLM', 'FalconMambaForCausalLM', 'MiniCPMForCausalLM', 'MiniCPM3ForCausalLM', 'MistralForCausalLM', 'MixtralForCausalLM', 'QuantMixtralForCausalLM', 'MptForCausalLM', 'MPTForCausalLM', 'NemotronForCausalLM', 'OlmoForCausalLM', 'Olmo2ForCausalLM', 'OlmoeForCausalLM', 'OPTForCausalLM', 'OrionForCausalLM', 'PersimmonForCausalLM', 'PhiForCausalLM', 'Phi3ForCausalLM', 'Phi3SmallForCausalLM', 'PhiMoEForCausalLM', 'Qwen2ForCausalLM', 'Qwen2MoeForCausalLM', 'RWForCausalLM', 'StableLMEpochForCausalLM', 'StableLmForCausalLM', 'Starcoder2ForCausalLM', 'SolarForCausalLM', 'TeleChat2ForCausalLM', 'XverseForCausalLM', 'BartModel', 'BartForConditionalGeneration', 'Florence2ForConditionalGeneration', 'BertModel', 'RobertaModel', 'RobertaForMaskedLM', 'XLMRobertaModel', 'Gemma2Model', 'JambaForSequenceClassification', 'LlamaModel', 'MistralModel', 'Qwen2Model', 'Qwen2ForRewardModel', 'LlavaNextForConditionalGeneration', 'Phi3VForCausalLM', 'Qwen2VLForConditionalGeneration', 'Qwen2ForSequenceClassification', 'BertForSequenceClassification', 'RobertaForSequenceClassification', 'XLMRobertaForSequenceClassification', 'AriaForConditionalGeneration', 'Blip2ForConditionalGeneration', 'ChameleonForConditionalGeneration', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'FuyuForCausalLM', 'H2OVLChatModel', 'InternVLChatModel', 'Idefics3ForConditionalGeneration', 'LlavaForConditionalGeneration', 'LlavaNextVideoForConditionalGeneration', 'LlavaOnevisionForConditionalGeneration', 'MantisForConditionalGeneration', 'MiniCPMV', 'MolmoForCausalLM', 'NVLM_D', 'PaliGemmaForConditionalGeneration', 'PixtralForConditionalGeneration', 'QWenLMHeadModel', 'Qwen2AudioForConditionalGeneration', 'UltravoxModel', 'MllamaForConditionalGeneration', 'EAGLEModel', 'MedusaModel', 'MLPSpeculatorPreTrainedModel'])
ERROR 01-28 06:55:12 engine.py:366] Model architectures ['Qwen2_5_VLForConditionalGeneration'] are not supported for now. Supported architectures: dict_keys(['AquilaModel', 'AquilaForCausalLM', 'ArcticForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'CohereForCausalLM', 'Cohere2ForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'DeepseekV2ForCausalLM', 'DeepseekV3ForCausalLM', 'ExaoneForCausalLM', 'FalconForCausalLM', 'GemmaForCausalLM', 'Gemma2ForCausalLM', 'GlmForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'GraniteForCausalLM', 'GraniteMoeForCausalLM', 'GritLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'InternLM2VEForCausalLM', 'JAISLMHeadModel', 'JambaForCausalLM', 'LlamaForCausalLM', 'LLaMAForCausalLM', 'MambaForCausalLM', 'FalconMambaForCausalLM', 'MiniCPMForCausalLM', 'MiniCPM3ForCausalLM', 'MistralForCausalLM', 'MixtralForCausalLM', 'QuantMixtralForCausalLM', 'MptForCausalLM', 'MPTForCausalLM', 'NemotronForCausalLM', 'OlmoForCausalLM', 'Olmo2ForCausalLM', 'OlmoeForCausalLM', 'OPTForCausalLM', 'OrionForCausalLM', 'PersimmonForCausalLM', 'PhiForCausalLM', 'Phi3ForCausalLM', 'Phi3SmallForCausalLM', 'PhiMoEForCausalLM', 'Qwen2ForCausalLM', 'Qwen2MoeForCausalLM', 'RWForCausalLM', 'StableLMEpochForCausalLM', 'StableLmForCausalLM', 'Starcoder2ForCausalLM', 'SolarForCausalLM', 'TeleChat2ForCausalLM', 'XverseForCausalLM', 'BartModel', 'BartForConditionalGeneration', 'Florence2ForConditionalGeneration', 'BertModel', 'RobertaModel', 'RobertaForMaskedLM', 'XLMRobertaModel', 'Gemma2Model', 'JambaForSequenceClassification', 'LlamaModel', 'MistralModel', 'Qwen2Model', 'Qwen2ForRewardModel', 'LlavaNextForConditionalGeneration', 'Phi3VForCausalLM', 'Qwen2VLForConditionalGeneration', 'Qwen2ForSequenceClassification', 'BertForSequenceClassification', 'RobertaForSequenceClassification', 'XLMRobertaForSequenceClassification', 'AriaForConditionalGeneration', 'Blip2ForConditionalGeneration', 'ChameleonForConditionalGeneration', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'FuyuForCausalLM', 'H2OVLChatModel', 'InternVLChatModel', 'Idefics3ForConditionalGeneration', 'LlavaForConditionalGeneration', 'LlavaNextVideoForConditionalGeneration', 'LlavaOnevisionForConditionalGeneration', 'MantisForConditionalGeneration', 'MiniCPMV', 'MolmoForCausalLM', 'NVLM_D', 'PaliGemmaForConditionalGeneration', 'PixtralForConditionalGeneration', 'QWenLMHeadModel', 'Qwen2AudioForConditionalGeneration', 'UltravoxModel', 'MllamaForConditionalGeneration', 'EAGLEModel', 'MedusaModel', 'MLPSpeculatorPreTrainedModel'])
ERROR 01-28 06:55:12 engine.py:366] Traceback (most recent call last):
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 357, in run_mp_engine
ERROR 01-28 06:55:12 engine.py:366] engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 114, in from_engine_args
ERROR 01-28 06:55:12 engine.py:366] engine_config = engine_args.create_engine_config(usage_context)
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/arg_utils.py", line 1044, in create_engine_config
ERROR 01-28 06:55:12 engine.py:366] model_config = self.create_model_config()
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/arg_utils.py", line 970, in create_model_config
ERROR 01-28 06:55:12 engine.py:366] return ModelConfig(
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/config.py", line 337, in init
ERROR 01-28 06:55:12 engine.py:366] self.multimodal_config = self._init_multimodal_config(
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/config.py", line 392, in _init_multimodal_config
ERROR 01-28 06:55:12 engine.py:366] if ModelRegistry.is_multimodal_model(architectures):
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 461, in is_multimodal_model
ERROR 01-28 06:55:12 engine.py:366] model_cls, _ = self.inspect_model_cls(architectures)
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 421, in inspect_model_cls
ERROR 01-28 06:55:12 engine.py:366] return self._raise_for_unsupported(architectures)
ERROR 01-28 06:55:12 engine.py:366] File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 382, in _raise_for_unsupported
ERROR 01-28 06:55:12 engine.py:366] raise ValueError(
ERROR 01-28 06:55:12 engine.py:366] ValueError: Model architectures ['Qwen2_5_VLForConditionalGeneration'] are not supported for now. Supported architectures: dict_keys(['AquilaModel', 'AquilaForCausalLM', 'ArcticForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'CohereForCausalLM', 'Cohere2ForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'DeepseekV2ForCausalLM', 'DeepseekV3ForCausalLM', 'ExaoneForCausalLM', 'FalconForCausalLM', 'GemmaForCausalLM', 'Gemma2ForCausalLM', 'GlmForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'GraniteForCausalLM', 'GraniteMoeForCausalLM', 'GritLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'InternLM2VEForCausalLM', 'JAISLMHeadModel', 'JambaForCausalLM', 'LlamaForCausalLM', 'LLaMAForCausalLM', 'MambaForCausalLM', 'FalconMambaForCausalLM', 'MiniCPMForCausalLM', 'MiniCPM3ForCausalLM', 'MistralForCausalLM', 'MixtralForCausalLM', 'QuantMixtralForCausalLM', 'MptForCausalLM', 'MPTForCausalLM', 'NemotronForCausalLM', 'OlmoForCausalLM', 'Olmo2ForCausalLM', 'OlmoeForCausalLM', 'OPTForCausalLM', 'OrionForCausalLM', 'PersimmonForCausalLM', 'PhiForCausalLM', 'Phi3ForCausalLM', 'Phi3SmallForCausalLM', 'PhiMoEForCausalLM', 'Qwen2ForCausalLM', 'Qwen2MoeForCausalLM', 'RWForCausalLM', 'StableLMEpochForCausalLM', 'StableLmForCausalLM', 'Starcoder2ForCausalLM', 'SolarForCausalLM', 'TeleChat2ForCausalLM', 'XverseForCausalLM', 'BartModel', 'BartForConditionalGeneration', 'Florence2ForConditionalGeneration', 'BertModel', 'RobertaModel', 'RobertaForMaskedLM', 'XLMRobertaModel', 'Gemma2Model', 'JambaForSequenceClassification', 'LlamaModel', 'MistralModel', 'Qwen2Model', 'Qwen2ForRewardModel', 'LlavaNextForConditionalGeneration', 'Phi3VForCausalLM', 'Qwen2VLForConditionalGeneration', 'Qwen2ForSequenceClassification', 'BertForSequenceClassification', 'RobertaForSequenceClassification', 'XLMRobertaForSequenceClassification', 'AriaForConditionalGeneration', 'Blip2ForConditionalGeneration', 'ChameleonForConditionalGeneration', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'FuyuForCausalLM', 'H2OVLChatModel', 'InternVLChatModel', 'Idefics3ForConditionalGeneration', 'LlavaForConditionalGeneration', 'LlavaNextVideoForConditionalGeneration', 'LlavaOnevisionForConditionalGeneration', 'MantisForConditionalGeneration', 'MiniCPMV', 'MolmoForCausalLM', 'NVLM_D', 'PaliGemmaForConditionalGeneration', 'PixtralForConditionalGeneration', 'QWenLMHeadModel', 'Qwen2AudioForConditionalGeneration', 'UltravoxModel', 'MllamaForConditionalGeneration', 'EAGLEModel', 'MedusaModel', 'MLPSpeculatorPreTrainedModel'])
Process SpawnProcess-1:
Traceback (most recent call last):
File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
self.run()
File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 368, in run_mp_engine
raise e
File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 357, in run_mp_engine
engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/multiprocessing/engine.py", line 114, in from_engine_args
engine_config = engine_args.create_engine_config(usage_context)
File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/arg_utils.py", line 1044, in create_engine_config
model_config = self.create_model_config()
File "/home/user/.local/lib/python3.10/site-packages/vllm/engine/arg_utils.py", line 970, in create_model_config
return ModelConfig(
File "/home/user/.local/lib/python3.10/site-packages/vllm/config.py", line 337, in init
self.multimodal_config = self._init_multimodal_config(
File "/home/user/.local/lib/python3.10/site-packages/vllm/config.py", line 392, in _init_multimodal_config
if ModelRegistry.is_multimodal_model(architectures):
File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 461, in is_multimodal_model
model_cls, _ = self.inspect_model_cls(architectures)
File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 421, in inspect_model_cls
return self._raise_for_unsupported(architectures)
File "/home/user/.local/lib/python3.10/site-packages/vllm/model_executor/models/registry.py", line 382, in _raise_for_unsupported
raise ValueError(
ValueError: Model architectures ['Qwen2_5_VLForConditionalGeneration'] are not supported for now. Supported architectures: dict_keys(['AquilaModel', 'AquilaForCausalLM', 'ArcticForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'CohereForCausalLM', 'Cohere2ForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'DeepseekV2ForCausalLM', 'DeepseekV3ForCausalLM', 'ExaoneForCausalLM', 'FalconForCausalLM', 'GemmaForCausalLM', 'Gemma2ForCausalLM', 'GlmForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'GraniteForCausalLM', 'GraniteMoeForCausalLM', 'GritLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'InternLM2VEForCausalLM', 'JAISLMHeadModel', 'JambaForCausalLM', 'LlamaForCausalLM', 'LLaMAForCausalLM', 'MambaForCausalLM', 'FalconMambaForCausalLM', 'MiniCPMForCausalLM', 'MiniCPM3ForCausalLM', 'MistralForCausalLM', 'MixtralForCausalLM', 'QuantMixtralForCausalLM', 'MptForCausalLM', 'MPTForCausalLM', 'NemotronForCausalLM', 'OlmoForCausalLM', 'Olmo2ForCausalLM', 'OlmoeForCausalLM', 'OPTForCausalLM', 'OrionForCausalLM', 'PersimmonForCausalLM', 'PhiForCausalLM', 'Phi3ForCausalLM', 'Phi3SmallForCausalLM', 'PhiMoEForCausalLM', 'Qwen2ForCausalLM', 'Qwen2MoeForCausalLM', 'RWForCausalLM', 'StableLMEpochForCausalLM', 'StableLmForCausalLM', 'Starcoder2ForCausalLM', 'SolarForCausalLM', 'TeleChat2ForCausalLM', 'XverseForCausalLM', 'BartModel', 'BartForConditionalGeneration', 'Florence2ForConditionalGeneration', 'BertModel', 'RobertaModel', 'RobertaForMaskedLM', 'XLMRobertaModel', 'Gemma2Model', 'JambaForSequenceClassification', 'LlamaModel', 'MistralModel', 'Qwen2Model', 'Qwen2ForRewardModel', 'LlavaNextForConditionalGeneration', 'Phi3VForCausalLM', 'Qwen2VLForConditionalGeneration', 'Qwen2ForSequenceClassification', 'BertForSequenceClassification', 'RobertaForSequenceClassification', 'XLMRobertaForSequenceClassification', 'AriaForConditionalGeneration', 'Blip2ForConditionalGeneration', 'ChameleonForConditionalGeneration', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'FuyuForCausalLM', 'H2OVLChatModel', 'InternVLChatModel', 'Idefics3ForConditionalGeneration', 'LlavaForConditionalGeneration', 'LlavaNextVideoForConditionalGeneration', 'LlavaOnevisionForConditionalGeneration', 'MantisForConditionalGeneration', 'MiniCPMV', 'MolmoForCausalLM', 'NVLM_D', 'PaliGemmaForConditionalGeneration', 'PixtralForConditionalGeneration', 'QWenLMHeadModel', 'Qwen2AudioForConditionalGeneration', 'UltravoxModel', 'MllamaForConditionalGeneration', 'EAGLEModel', 'MedusaModel', 'MLPSpeculatorPreTrainedModel'])

The closest model vllm already supports.

No response

What's your difficulty of supporting the model you want?

No response

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[DarkLight1337]

@fyabc is your team planning to open a PR for this? Please reply on the other PR.

[IgorBeHolder]

The closest model vllm already supports.

Qwen/Qwen2-VL-7B-Instruct
Qwen/Qwen2-VL-72B-Instruct

[Liguoz]

waitting online 。。。

[hershg]

Note, the latest release vLLM 0.7.2 added official support for Qwen2.5-VL https://github.com/vllm-project/vllm/releases/tag/v0.7.2