使用opencompass调用vllm的模型，使用leval测评直接报错，怎么解决，求求了

[fxnie]

from mmengine.config import read_base
from opencompass.models import OpenAISDK

with read_base():
# from opencompass.configs.datasets.humaneval.humaneval_gen_8e312c import humaneval_datasets # noqa: F401, F403
# from opencompass.configs.datasets.ARC_c.ARC_c_gen import ARC_c_datasets # noqa: F401, F403
# from opencompass.configs.datasets.longbench.longbench import longbench_datasets
from opencompass.configs.datasets.leval.leval import leval_datasets

datasets = leval_datasets

api_meta_template = dict(
round=[
dict(role='HUMAN', api_role='HUMAN'),
dict(role='BOT', api_role='BOT', generate=True),
],
reserved_roles=[dict(role='SYSTEM', api_role='SYSTEM')],
)

models = [
dict(
abbr='mamba',
type=OpenAISDK,
key='EMPTY', # API key
openai_api_base='http://0.0.0.0:6606/v1', # 服务地址
path='mamba', # 请求服务时的 model name
tokenizer_path='/workspace/mnt/cm-nfx/model/Falcon3-Mamba-7B-Instruct', # 请求服务时的 tokenizer name 或 path, 为None时使用默认tokenizer gpt-4
rpm_verbose=True, # 是否打印请求速率
meta_template=api_meta_template, # 服务请求模板
query_per_second=1, # 服务请求速率
max_out_len=1024, # 最大输出长度
max_seq_len=32768, # 最大输入长度
temperature=0.01, # 生成温度
batch_size=1, # 批处理大小
)
]

error:

/workspace/mnt/cm-nfx/opencompass/opencompass/init.py:19: UserWarning: Starting from v0.4.0, all AMOTIC configuration files currently located in ./configs/datasets, ./configs/models, and ./configs/summarizers will be migrated to the opencompass/configs/ package. Please update your configuration file paths accordingly.
_warn_about_config_migration()
2025-01-15 15:29:30.268607: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-01-15 15:29:30.414413: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2025-01-15 15:29:30.414460: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2025-01-15 15:29:31.060214: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2025-01-15 15:29:31.060303: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2025-01-15 15:29:31.060311: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
01/15 15:29:41 - OpenCompass - INFO - Current exp folder: outputs/default/20250115_152941
01/15 15:29:42 - OpenCompass - WARNING - SlurmRunner is not used, so the partition argument is ignored.
Traceback (most recent call last):
File "/workspace/mnt/cm-nfx/opencompass/run.py", line 4, in
main()
File "/workspace/mnt/cm-nfx/opencompass/opencompass/cli/main.py", line 299, in main
tasks = partitioner(cfg)
File "/workspace/mnt/cm-nfx/opencompass/opencompass/partitioners/base.py", line 83, in call
tasks = self.partition(**model_and_dataset_args,
File "/workspace/mnt/cm-nfx/opencompass/opencompass/partitioners/num_worker.py", line 69, in partition
dataset_size = self.get_size(dataset)
File "/workspace/mnt/cm-nfx/opencompass/opencompass/partitioners/num_worker.py", line 141, in get_size
dataset = build_dataset_from_cfg(dataset)
File "/workspace/mnt/cm-nfx/opencompass/opencompass/utils/build.py", line 13, in build_dataset_from_cfg
return LOAD_DATASET.build(dataset_cfg)
File "/opt/conda/envs/swift3/lib/python3.10/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/opt/conda/envs/swift3/lib/python3.10/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/workspace/mnt/cm-nfx/opencompass/opencompass/datasets/base.py", line 12, in init
self.dataset = self.load(**kwargs)
File "/workspace/mnt/cm-nfx/opencompass/opencompass/datasets/leval/leval_natural_question.py", line 17, in load
dataset = load_dataset(**kwargs)
File "/opt/conda/envs/swift3/lib/python3.10/site-packages/datasets/load.py", line 2074, in load_dataset
builder_instance = load_dataset_builder(
File "/opt/conda/envs/swift3/lib/python3.10/site-packages/datasets/load.py", line 1832, in load_dataset_builder
builder_instance: DatasetBuilder = builder_cls(
TypeError: 'NoneType' object is not callable