Repository: open-compass/opencompass
Issue: [Bug] Unsupported model type Warning When using VLLM to accelerate
Root cause: Validation Gap

### Prerequisite

- [x] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [x] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

{'CUDA available': True,
 'GCC': 'gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0',
 'MMEngine': '0.10.6',
 'MUSA available': False,
 'OpenCV': '4.11.0',
 'PyTorch': '2.1.0',
 'PyTorch compiling details': 'PyTorch built with:\n'
                              '  - GCC 10.2\n'
                              '  - C++ Version: 201703\n'
                              '  - Intel(R) MKL-DNN v3.1.1 (Git Hash '
                              '64f6bcbcbab628e96f33a62c3e975f8535a7bde4)\n'
                              '  - OpenMP 201511 (a.k.a. OpenMP 4.5)\n'
                              '  - LAPACK is enabled (usually provided by '
                              'MKL)\n'
                              '  - NNPACK is enabled\n'
                              '  - CPU capability usage: NO AVX\n'
                              '  - Build settings: BLAS_INFO=open, '
                              'BUILD_TYPE=Release, '
                              'CXX_COMPILER=/opt/rh/devtoolset-10/root/usr/bin/c++, '
                              'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 '
                              '-fabi-version=11 -fvisibility-inlines-hidden '
                              '-DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO '
                              '-DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER '
                              '-DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK '
                              '-DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE '
                              '-O2 -fPIC -Wall -Wextra -Werror=return-type '
                              '-Werror=non-virtual-dtor -Werror=bool-operation '
                              '-Wnarrowing -Wno-missing-field-initializers '
                              '-Wno-type-limits -Wno-array-bounds '
                              '-Wno-unknown-pragmas -Wno-unused-parameter '
                              '-Wno-unused-function -Wno-unused-result '
                              '-Wno-strict-overflow -Wno-strict-aliasing '
                              '-Wno-stringop-overflow -Wno-psabi '
                              '-Wno-error=pedantic -Wno-error=old-style-cast '
                              '-Wno-invalid-partial-specialization '
                              '-Wno-unused-private-field '
                              '-Wno-aligned-allocation-unavailable '
                              '-Wno-missing-braces -fdiagnostics-color=always '
                              '-faligned-new -Wno-unused-but-set-variable '
                              '-Wno-maybe-uninitialized -fno-math-errno '
                              '-fno-trapping-math -Werror=format '
                              '-Werror=cast-function-type '
                              '-Wno-stringop-overflow, LAPACK_INFO=open, '
                              'TORCH_DISABLE_GPU_ASSERTS=ON, '
                              'TORCH_VERSION=2.1.0, USE_CUDA=OFF, '
                              'USE_CUDNN=OFF, USE_EIGEN_FOR_BLAS=ON, '
                              'USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, '
                              'USE_GLOG=OFF, USE_MKL=OFF, USE_MKLDNN=ON, '
                              'USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, '
                              'USE_OPENMP=ON, USE_ROCM=OFF, \n',
 'Python': '3.10.2 (main, Jan  8 2025, 06:13:36) [GCC 9.4.0]',
 'TorchVision': '0.16.0',
 'lmdeploy': "not installed:No module named 'lmdeploy'",
 'numpy_random_seed': 2147483648,
 'opencompass': '0.3.9+',
 'sys.platform': 'linux',
 'transformers': '4.46.3'}

### Reproduces the problem - code/configuration sample

I have this problem when I use vllm to accelerate inference, tested llama3.1-8b-instruct and llama3.1-8b base models, strangely the struct model works with vllm, but the base model does not!
[work!!!] python run.py --models hf_llama3_1_8b_instruct --datasets OpenFinData_gen_46dedb -a vllm --debug
[did NOT work!!!]python run.py --models hf_llama3_1_8b --datasets OpenFinData_ppl -a vllm --debug

### Reproduces the problem - command or script

[work!!!] python run.py --models hf_llama3_1_8b_instruct --datasets OpenFinData_gen_46dedb -a vllm --debug
[did NOT work!!!]python run.py --models hf_llama3_1_8b --datasets OpenFinData_ppl -a vllm --debug

### Reproduces the problem - error message

02/25 19:44:39 - OpenCompass - INFO - Loading hf_llama3_1_8b: configs/models/hf_llama/hf_llama3_1_8b.py
02/25 19:44:39 - OpenCompass - INFO - Transforming llama-3_1-8b-hf to vllm
02/25 19:44:39 - OpenCompass - WARNING - Unsupported model type <class 'opencompass.models.huggingface_above_v4_33.HuggingFaceBaseModel'>, will keep the original model.

### Other information

_No response_

Promblem solved. The problem is in line 237 in utils/run.py. The model['type'] is <class opencompass.models.huggingface_above_v4_33.HuggingFaceBaseModel>. But the f{''} statement in the if branch is not of class type, so it cannot enter the branch.
Solution: run.py line 237 changed to-->if model['type'] in [HuggingFace, HuggingFaceCausalLM, HuggingFaceChatGLM3, HuggingFaceBaseModel, f'{ HuggingFaceBaseModel.__module__}. { HuggingFaceBaseModel.__name__}'].