(venv-nm-vllm-abi3) rshaw@beaker:~$ VLLM_USE_V1=1 vllm serve $MODEL --disable-log-requests --no-enable-prefix-caching
INFO 02-19 03:45:16 __init__.py:190] Automatically detected platform cuda.
INFO 02-19 03:45:18 api_server.py:840] vLLM API server version 0.7.2.0
INFO 02-19 03:45:18 api_server.py:841] args: Namespace(subparser='serve', model_tag='neuralmagic/Meta-Llama-3-8B-Instruct-FP8-dynamic', config='', host=None, 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='neuralmagic/Meta-Llama-3-8B-Instruct-FP8-dynamic', task='auto', tokenizer=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=False, 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=None, guided_decoding_backend='xgrammar', logits_processor_pattern=None, model_impl='auto', 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=False, 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=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=None, 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=True, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, dis_function=<function serve at 0x74d76eb99990>)
WARNING 02-19 03:45:18 arg_utils.py:1326] Setting max_num_batched_tokens to 8192 for OPENAI_API_SERVER usage context.
Traceback (most recent call last):
  File "/home/rshaw/venv-nm-vllm-abi3/bin/vllm", line 8, in <module>
    sys.exit(main())
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/scripts.py", line 204, in main
    args.dis_function(args)
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/scripts.py", line 44, in serve
    uvloop.run(run_server(args))
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/uvloop/__init__.py", line 82, in run
    return loop.run_until_complete(wrapper())
  File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/uvloop/__init__.py", line 61, in wrapper
    return await main
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 875, in run_server
    async with build_async_engine_client(args) as engine_client:
  File "/home/rshaw/.pyenv/versions/3.10.14/lib/python3.10/contextlib.py", line 199, in __aenter__
    return await anext(self.gen)
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 136, in build_async_engine_client
    async with build_async_engine_client_from_engine_args(
  File "/home/rshaw/.pyenv/versions/3.10.14/lib/python3.10/contextlib.py", line 199, in __aenter__
    return await anext(self.gen)
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/entrypoints/openai/api_server.py", line 160, in build_async_engine_client_from_engine_args
    engine_client = AsyncLLMEngine.from_engine_args(
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/v1/engine/async_llm.py", line 104, in from_engine_args
    vllm_config = engine_args.create_engine_config(usage_context)
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/engine/arg_utils.py", line 1075, in create_engine_config
    model_config = self.create_model_config()
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/engine/arg_utils.py", line 998, in create_model_config
    return ModelConfig(
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/config.py", line 302, in __init__
    hf_config = get_config(self.model, trust_remote_code, revision,
  File "/home/rshaw/venv-nm-vllm-abi3/lib/python3.10/site-packages/vllm/transformers_utils/config.py", line 201, in get_config
    raise ValueError(f"No supported config format found in {model}")
ValueError: No supported config format found in neuralmagic/Meta-Llama-3-8B-Instruct-FP8-dynamic