“What version of vLLM and Transformers is required to stably load and perform inference with the Qwen3-Coder-30B-A3B-Instruct-FP8 weight model?”

[zhangggzh]

“I set up a container using the official NVIDIA PyTorch image on Rocky Linux 9.7, downloaded the weights and configuration files for Qwen3-Coder-30B-A3B-Instruct-FP8 from ModelScope, and configured it with vLLM 0.7.1 and Transformers 4.57.6, but encountered an error.
root@92f26b3c6ca7:/home# python3 -m vllm.entrypoints.openai.api_server --model /models/Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8 --served-model-name Qwen3-Coder-30B-A3B-Instruct-FP8 --host 0.0.0.0 --port 8000 --tensor-parallel-size 1 --gpu-memory-utilization 0.85 --max-model-len 32768 --trust-remote-code --dtype auto
INFO 01-28 10:50:22 init.py:183] Automatically detected platform cuda.
WARNING 01-28 10:50:22 cuda.py:32] You are using a deprecated pynvml package. Please install nvidia-ml-py instead, and make sure to uninstall pynvml. When both of them are installed, pynvml will take precedence and cause errors. See https://pypi.org/project/pynvml for more information.
INFO 01-28 10:50:23 api_server.py:838] vLLM API server version 0.7.1
INFO 01-28 10:50:23 api_server.py:839] args: Namespace(host='0.0.0.0', port=8000, 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, chat_template_content_format='auto', 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=False, enable_request_id_headers=False, enable_auto_tool_choice=False, enable_reasoning=False, reasoning_parser=None, tool_call_parser=None, tool_parser_plugin='', model='/models/Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8', task='auto', tokenizer=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='auto', kv_cache_dtype='auto', max_model_len=32768, guided_decoding_backend='xgrammar', logits_processor_pattern=None, distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, 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=0, swap_space=4, cpu_offload_gb=0, gpu_memory_utilization=0.85, num_gpu_blocks_override=None, max_num_batched_tokens=None, max_num_seqs=None, 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, multi_step_stream_outputs=True, scheduler_delay_factor=0.0, enable_chunked_prefill=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=['Qwen3-Coder-30B-A3B-Instruct-FP8'], qlora_adapter_name_or_path=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, scheduling_policy='fcfs', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', generation_config=None, override_generation_config=None, enable_sleep_mode=False, calculate_kv_scales=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False)
INFO 01-28 10:50:24 api_server.py:204] Started engine process with PID 9798
torch_dtype is deprecated! Use dtype instead!
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 "/usr/local/lib/python3.10/dist-packages/vllm/entrypoints/openai/api_server.py", line 909, in
uvloop.run(run_server(args))
File "/usr/local/lib/python3.10/dist-packages/uvloop/init.py", line 69, in run
return loop.run_until_complete(wrapper())
File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
File "/usr/local/lib/python3.10/dist-packages/uvloop/init.py", line 48, in wrapper
return await main
File "/usr/local/lib/python3.10/dist-packages/vllm/entrypoints/openai/api_server.py", line 873, 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 "/usr/local/lib/python3.10/dist-packages/vllm/entrypoints/openai/api_server.py", line 134, 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 "/usr/local/lib/python3.10/dist-packages/vllm/entrypoints/openai/api_server.py", line 215, in build_async_engine_client_from_engine_args
engine_config = engine_args.create_engine_config()
File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 1059, in create_engine_config
model_config = self.create_model_config()
File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 983, in create_model_config
return ModelConfig(
File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 348, in init
self.multimodal_config = self._init_multimodal_config(
File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 408, in _init_multimodal_config
if ModelRegistry.is_multimodal_model(architectures):
File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 433, in is_multimodal_model
model_cls, _ = self.inspect_model_cls(architectures)
File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 393, in inspect_model_cls
return self._raise_for_unsupported(architectures)
File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 354, in _raise_for_unsupported
raise ValueError(
ValueError: Model architectures ['Qwen3MoeForCausalLM'] are not supported for now. Supported architectures: dict_keys(['AquilaModel', 'AquilaForCausalLM', 'ArcticForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'CohereForCausalLM', 'Cohere2ForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'DeepseekV2ForCausalLM', 'DeepseekV3ForCausalLM', 'ExaoneForCausalLM', 'FalconForCausalLM', 'Fairseq2LlamaForCausalLM', 'GemmaForCausalLM', 'Gemma2ForCausalLM', 'GlmForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'GraniteForCausalLM', 'GraniteMoeForCausalLM', 'GritLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'InternLM2VEForCausalLM', 'InternLM3ForCausalLM', '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', 'InternLM2ForRewardModel', 'JambaForSequenceClassification', 'LlamaModel', 'MistralModel', 'Qwen2Model', 'Qwen2ForRewardModel', 'Qwen2ForProcessRewardModel', 'LlavaNextForConditionalGeneration', 'Phi3VForCausalLM', 'Qwen2VLForConditionalGeneration', 'Qwen2ForSequenceClassification', 'BertForSequenceClassification', 'RobertaForSequenceClassification', 'XLMRobertaForSequenceClassification', 'AriaForConditionalGeneration', 'Blip2ForConditionalGeneration', 'ChameleonForConditionalGeneration', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'DeepseekVLV2ForCausalLM', 'FuyuForCausalLM', 'H2OVLChatModel', 'InternVLChatModel', 'Idefics3ForConditionalGeneration', 'LlavaForConditionalGeneration', 'LlavaNextVideoForConditionalGeneration', 'LlavaOnevisionForConditionalGeneration', 'MantisForConditionalGeneration', 'MiniCPMO', 'MiniCPMV', 'MolmoForCausalLM', 'NVLM_D', 'PaliGemmaForConditionalGeneration', 'PixtralForConditionalGeneration', 'QWenLMHeadModel', 'Qwen2AudioForConditionalGeneration', 'UltravoxModel', 'MllamaForConditionalGeneration', 'WhisperForConditionalGeneration', 'EAGLEModel', 'MedusaModel', 'MLPSpeculatorPreTrainedModel'])
INFO 01-28 10:50:27 init.py:183] Automatically detected platform cuda.
WARNING 01-28 10:50:27 cuda.py:32] You are using a deprecated pynvml package. Please install nvidia-ml-py instead, and make sure to uninstall pynvml. When both of them are installed, pynvml will take precedence and cause errors. See https://pypi.org/project/pynvml for more information.
torch_dtype is deprecated! Use dtype instead!
ERROR 01-28 10:50:28 engine.py:387] Model architectures ['Qwen3MoeForCausalLM'] are not supported for now. Supported architectures: dict_keys(['AquilaModel', 'AquilaForCausalLM', 'ArcticForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'CohereForCausalLM', 'Cohere2ForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'DeepseekV2ForCausalLM', 'DeepseekV3ForCausalLM', 'ExaoneForCausalLM', 'FalconForCausalLM', 'Fairseq2LlamaForCausalLM', 'GemmaForCausalLM', 'Gemma2ForCausalLM', 'GlmForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'GraniteForCausalLM', 'GraniteMoeForCausalLM', 'GritLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'InternLM2VEForCausalLM', 'InternLM3ForCausalLM', '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', 'InternLM2ForRewardModel', 'JambaForSequenceClassification', 'LlamaModel', 'MistralModel', 'Qwen2Model', 'Qwen2ForRewardModel', 'Qwen2ForProcessRewardModel', 'LlavaNextForConditionalGeneration', 'Phi3VForCausalLM', 'Qwen2VLForConditionalGeneration', 'Qwen2ForSequenceClassification', 'BertForSequenceClassification', 'RobertaForSequenceClassification', 'XLMRobertaForSequenceClassification', 'AriaForConditionalGeneration', 'Blip2ForConditionalGeneration', 'ChameleonForConditionalGeneration', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'DeepseekVLV2ForCausalLM', 'FuyuForCausalLM', 'H2OVLChatModel', 'InternVLChatModel', 'Idefics3ForConditionalGeneration', 'LlavaForConditionalGeneration', 'LlavaNextVideoForConditionalGeneration', 'LlavaOnevisionForConditionalGeneration', 'MantisForConditionalGeneration', 'MiniCPMO', 'MiniCPMV', 'MolmoForCausalLM', 'NVLM_D', 'PaliGemmaForConditionalGeneration', 'PixtralForConditionalGeneration', 'QWenLMHeadModel', 'Qwen2AudioForConditionalGeneration', 'UltravoxModel', 'MllamaForConditionalGeneration', 'WhisperForConditionalGeneration', 'EAGLEModel', 'MedusaModel', 'MLPSpeculatorPreTrainedModel'])
ERROR 01-28 10:50:28 engine.py:387] Traceback (most recent call last):
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/engine/multiprocessing/engine.py", line 378, in run_mp_engine
ERROR 01-28 10:50:28 engine.py:387] engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/engine/multiprocessing/engine.py", line 116, in from_engine_args
ERROR 01-28 10:50:28 engine.py:387] engine_config = engine_args.create_engine_config(usage_context)
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 1059, in create_engine_config
ERROR 01-28 10:50:28 engine.py:387] model_config = self.create_model_config()
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 983, in create_model_config
ERROR 01-28 10:50:28 engine.py:387] return ModelConfig(
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 348, in init
ERROR 01-28 10:50:28 engine.py:387] self.multimodal_config = self._init_multimodal_config(
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 408, in _init_multimodal_config
ERROR 01-28 10:50:28 engine.py:387] if ModelRegistry.is_multimodal_model(architectures):
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 433, in is_multimodal_model
ERROR 01-28 10:50:28 engine.py:387] model_cls, _ = self.inspect_model_cls(architectures)
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 393, in inspect_model_cls
ERROR 01-28 10:50:28 engine.py:387] return self._raise_for_unsupported(architectures)
ERROR 01-28 10:50:28 engine.py:387] File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 354, in _raise_for_unsupported
ERROR 01-28 10:50:28 engine.py:387] raise ValueError(
ERROR 01-28 10:50:28 engine.py:387] ValueError: Model architectures ['Qwen3MoeForCausalLM'] are not supported for now. Supported architectures: dict_keys(['AquilaModel', 'AquilaForCausalLM', 'ArcticForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'CohereForCausalLM', 'Cohere2ForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'DeepseekV2ForCausalLM', 'DeepseekV3ForCausalLM', 'ExaoneForCausalLM', 'FalconForCausalLM', 'Fairseq2LlamaForCausalLM', 'GemmaForCausalLM', 'Gemma2ForCausalLM', 'GlmForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'GraniteForCausalLM', 'GraniteMoeForCausalLM', 'GritLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'InternLM2VEForCausalLM', 'InternLM3ForCausalLM', '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', 'InternLM2ForRewardModel', 'JambaForSequenceClassification', 'LlamaModel', 'MistralModel', 'Qwen2Model', 'Qwen2ForRewardModel', 'Qwen2ForProcessRewardModel', 'LlavaNextForConditionalGeneration', 'Phi3VForCausalLM', 'Qwen2VLForConditionalGeneration', 'Qwen2ForSequenceClassification', 'BertForSequenceClassification', 'RobertaForSequenceClassification', 'XLMRobertaForSequenceClassification', 'AriaForConditionalGeneration', 'Blip2ForConditionalGeneration', 'ChameleonForConditionalGeneration', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'DeepseekVLV2ForCausalLM', 'FuyuForCausalLM', 'H2OVLChatModel', 'InternVLChatModel', 'Idefics3ForConditionalGeneration', 'LlavaForConditionalGeneration', 'LlavaNextVideoForConditionalGeneration', 'LlavaOnevisionForConditionalGeneration', 'MantisForConditionalGeneration', 'MiniCPMO', 'MiniCPMV', 'MolmoForCausalLM', 'NVLM_D', 'PaliGemmaForConditionalGeneration', 'PixtralForConditionalGeneration', 'QWenLMHeadModel', 'Qwen2AudioForConditionalGeneration', 'UltravoxModel', 'MllamaForConditionalGeneration', 'WhisperForConditionalGeneration', '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 "/usr/local/lib/python3.10/dist-packages/vllm/engine/multiprocessing/engine.py", line 389, in run_mp_engine
raise e
File "/usr/local/lib/python3.10/dist-packages/vllm/engine/multiprocessing/engine.py", line 378, in run_mp_engine
engine = MQLLMEngine.from_engine_args(engine_args=engine_args,
File "/usr/local/lib/python3.10/dist-packages/vllm/engine/multiprocessing/engine.py", line 116, in from_engine_args
engine_config = engine_args.create_engine_config(usage_context)
File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 1059, in create_engine_config
model_config = self.create_model_config()
File "/usr/local/lib/python3.10/dist-packages/vllm/engine/arg_utils.py", line 983, in create_model_config
return ModelConfig(
File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 348, in init
self.multimodal_config = self._init_multimodal_config(
File "/usr/local/lib/python3.10/dist-packages/vllm/config.py", line 408, in _init_multimodal_config
if ModelRegistry.is_multimodal_model(architectures):
File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 433, in is_multimodal_model
model_cls, _ = self.inspect_model_cls(architectures)
File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 393, in inspect_model_cls
return self._raise_for_unsupported(architectures)
File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/registry.py", line 354, in _raise_for_unsupported
raise ValueError(
ValueError: Model architectures ['Qwen3MoeForCausalLM'] are not supported for now. Supported architectures: dict_keys(['AquilaModel', 'AquilaForCausalLM', 'ArcticForCausalLM', 'BaiChuanForCausalLM', 'BaichuanForCausalLM', 'BloomForCausalLM', 'CohereForCausalLM', 'Cohere2ForCausalLM', 'DbrxForCausalLM', 'DeciLMForCausalLM', 'DeepseekForCausalLM', 'DeepseekV2ForCausalLM', 'DeepseekV3ForCausalLM', 'ExaoneForCausalLM', 'FalconForCausalLM', 'Fairseq2LlamaForCausalLM', 'GemmaForCausalLM', 'Gemma2ForCausalLM', 'GlmForCausalLM', 'GPT2LMHeadModel', 'GPTBigCodeForCausalLM', 'GPTJForCausalLM', 'GPTNeoXForCausalLM', 'GraniteForCausalLM', 'GraniteMoeForCausalLM', 'GritLM', 'InternLMForCausalLM', 'InternLM2ForCausalLM', 'InternLM2VEForCausalLM', 'InternLM3ForCausalLM', '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', 'InternLM2ForRewardModel', 'JambaForSequenceClassification', 'LlamaModel', 'MistralModel', 'Qwen2Model', 'Qwen2ForRewardModel', 'Qwen2ForProcessRewardModel', 'LlavaNextForConditionalGeneration', 'Phi3VForCausalLM', 'Qwen2VLForConditionalGeneration', 'Qwen2ForSequenceClassification', 'BertForSequenceClassification', 'RobertaForSequenceClassification', 'XLMRobertaForSequenceClassification', 'AriaForConditionalGeneration', 'Blip2ForConditionalGeneration', 'ChameleonForConditionalGeneration', 'ChatGLMModel', 'ChatGLMForConditionalGeneration', 'DeepseekVLV2ForCausalLM', 'FuyuForCausalLM', 'H2OVLChatModel', 'InternVLChatModel', 'Idefics3ForConditionalGeneration', 'LlavaForConditionalGeneration', 'LlavaNextVideoForConditionalGeneration', 'LlavaOnevisionForConditionalGeneration', 'MantisForConditionalGeneration', 'MiniCPMO', 'MiniCPMV', 'MolmoForCausalLM', 'NVLM_D', 'PaliGemmaForConditionalGeneration', 'PixtralForConditionalGeneration', 'QWenLMHeadModel', 'Qwen2AudioForConditionalGeneration', 'UltravoxModel', 'MllamaForConditionalGeneration', 'WhisperForConditionalGeneration', 'EAGLEModel', 'MedusaModel', 'MLPSpeculatorPreTrainedModel'])