GLM-5 docker didnt work

[jxdn]

Hi ,

i follow what you have in the guide, but got error as follows:

Writing manifest to image destination
WARNING 02-13 00:37:51 [argparse_utils.py:195] With `vllm serve`, you should provide the model as a positional argument or in a config file instead of via the `--model` option. The `--model` option will be removed in v0.13.
(APIServer pid=1) INFO 02-13 00:37:51 [utils.py:325] 
(APIServer pid=1) INFO 02-13 00:37:51 [utils.py:325]        █     █     █▄   ▄█
(APIServer pid=1) INFO 02-13 00:37:51 [utils.py:325]  ▄▄ ▄█ █     █     █ ▀▄▀ █  version 0.15.1
(APIServer pid=1) INFO 02-13 00:37:51 [utils.py:325]   █▄█▀ █     █     █     █  model   zai-org/GLM-5-FP8
(APIServer pid=1) INFO 02-13 00:37:51 [utils.py:325]    ▀▀  ▀▀▀▀▀ ▀▀▀▀▀ ▀     ▀
(APIServer pid=1) INFO 02-13 00:37:51 [utils.py:325] 
(APIServer pid=1) INFO 02-13 00:37:51 [utils.py:261] non-default args: {'model_tag': 'zai-org/GLM-5-FP8', 'api_server_count': 1, 'enable_auto_tool_choice': True, 'tool_call_parser': 'glm47', 'model': 'zai-org/GLM-5-FP8', 'trust_remote_code': True, 'served_model_name': ['glm5'], 'reasoning_parser': 'glm45', 'tensor_parallel_size': 8}
(APIServer pid=1) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
(APIServer pid=1) The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
(APIServer pid=1) Traceback (most recent call last):
(APIServer pid=1)   File "/usr/local/bin/vllm", line 10, in <module>
(APIServer pid=1)     sys.exit(main())
(APIServer pid=1)              ^^^^^^
(APIServer pid=1)   File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/cli/main.py", line 73, in main
(APIServer pid=1)     args.dispatch_function(args)
(APIServer pid=1)   File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/cli/serve.py", line 111, in cmd
(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 919, 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 938, 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 147, 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 173, 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 1374, 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 1228, 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, The checkpoint you are trying to load has model type `glm_moe_dsa` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
(APIServer pid=1) 
(APIServer pid=1) You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git` [type=value_error, input_value=ArgsKwargs((), {'model': ...rocessor_plugin': None}), input_type=ArgsKwargs]
(APIServer pid=1)     For further information visit https://errors.pydantic.dev/2.12/v/value_error

[khluu]

Hi there,
Which image did you use? Can you post the command that you used here? The vLLM version on your image is 0.15.1 which is not what's in vllm/vllm-openai:glm5.