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gemma-4-31B-it

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(APIServer pid=1) INFO 04-04 05:23:08 [utils.py:299]
(APIServer pid=1) INFO 04-04 05:23:08 [utils.py:299] █ █ █▄ ▄█
(APIServer pid=1) INFO 04-04 05:23:08 [utils.py:299] ▄▄ ▄█ █ █ █ ▀▄▀ █ version 0.19.1rc1.dev28+g8617f8676
(APIServer pid=1) INFO 04-04 05:23:08 [utils.py:299] █▄█▀ █ █ █ █ model Qwen/Qwen3-0.6B
(APIServer pid=1) INFO 04-04 05:23:08 [utils.py:299] ▀▀ ▀▀▀▀▀ ▀▀▀▀▀ ▀ ▀
(APIServer pid=1) INFO 04-04 05:23:08 [utils.py:299]
(APIServer pid=1) INFO 04-04 05:23:08 [utils.py:233] non-default args: {'model_tag': '/app/models/google/gemma-4-31B-it', 'enable_auto_tool_choice': True, 'tool_call_parser': 'gemma4', 'host': '0.0.0.0', 'api_key': ['mykey'], 'trust_remote_code': True, 'max_model_len': 131072, 'served_model_name': ['gemma-4-31B-it'], 'override_generation_config': {'temperature': 1.0, 'top_p': 0.95, 'top_k': 64}, 'reasoning_parser': 'gemma4', 'disable_custom_all_reduce': True, 'gpu_memory_utilization': 0.95, 'limit_mm_per_prompt': {'image': 1}, 'max_num_batched_tokens': 131072, 'max_num_seqs': 8}
(APIServer pid=1) INFO 04-04 05:23:15 [model.py:554] Resolved architecture: Qwen3ForCausalLM
(APIServer pid=1) Traceback (most recent call last):
(APIServer pid=1) File "", line 198, in _run_module_as_main
(APIServer pid=1) File "", line 88, in _run_code
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 726, in
(APIServer pid=1) uvloop.run(run_server(args))
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/uvloop/init.py", line 96, in run
(APIServer pid=1) return __asyncio.run(
(APIServer pid=1) ^^^^^^^^^^^^^^
(APIServer pid=1) File "/usr/lib/python3.12/asyncio/runners.py", line 195, in run
(APIServer pid=1) return runner.run(main)
(APIServer pid=1) ^^^^^^^^^^^^^^^^
(APIServer pid=1) File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
(APIServer pid=1) return self._loop.run_until_complete(task)
(APIServer pid=1) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=1) File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/uvloop/init.py", line 48, in wrapper
(APIServer pid=1) return await main
(APIServer pid=1) ^^^^^^^^^^
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 686, in run_server
(APIServer pid=1) await run_server_worker(listen_address, sock, args, **uvicorn_kwargs)
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 700, in run_server_worker
(APIServer pid=1) async with build_async_engine_client(
(APIServer pid=1) ^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=1) File "/usr/lib/python3.12/contextlib.py", line 210, in aenter
(APIServer pid=1) return await anext(self.gen)
(APIServer pid=1) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 101, in build_async_engine_client
(APIServer pid=1) async with build_async_engine_client_from_engine_args(
(APIServer pid=1) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=1) File "/usr/lib/python3.12/contextlib.py", line 210, in aenter
(APIServer pid=1) return await anext(self.gen)
(APIServer pid=1) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 125, in build_async_engine_client_from_engine_args
(APIServer pid=1) vllm_config = engine_args.create_engine_config(usage_context=usage_context)
(APIServer pid=1) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/vllm/engine/arg_utils.py", line 1574, in create_engine_config
(APIServer pid=1) model_config = self.create_model_config()
(APIServer pid=1) ^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/vllm/engine/arg_utils.py", line 1422, in create_model_config
(APIServer pid=1) return ModelConfig(
(APIServer pid=1) ^^^^^^^^^^^^
(APIServer pid=1) File "/usr/local/lib/python3.12/dist-packages/pydantic/_internal/_dataclasses.py", line 121, in init
(APIServer pid=1) s.pydantic_validator.validate_python(ArgsKwargs(args, kwargs), self_instance=s)
(APIServer pid=1) pydantic_core._pydantic_core.ValidationError: 1 validation error for ModelConfig
(APIServer pid=1) Value error, User-specified max_model_len (131072) is greater than the derived max_model_len (max_position_embeddings=40960.0 or model_max_length=None in model's config.json). To allow overriding this maximum, set the env var VLLM_ALLOW_LONG_MAX_MODEL_LEN=1. VLLM_ALLOW_LONG_MAX_MODEL_LEN must be used with extreme caution. If the model uses relative position encoding (RoPE), positions exceeding derived_max_model_len lead to nan. If the model uses absolute position encoding, positions exceeding derived_max_model_len will cause a CUDA array out-of-bounds error. [type=value_error, input_value=ArgsKwargs((), {'model': ...nderer_num_workers': 1}), input_type=ArgsKwargs]
(APIServer pid=1) For further information visit https://errors.pydantic.dev/2.12/v/value_error