[Bug] 在对DeepSeek-R1-Distill-Qwen-1.5B模型评测livecodebench数据集时，lcb_test_output为什么为0呢？

[guoguo1314]

先决条件

• 我已经搜索过 问题 和 讨论 但未得到预期的帮助。
• 错误在 最新版本 中尚未被修复。

问题类型

我正在使用官方支持的任务/模型/数据集进行评估。

环境

{'CUDA available': True,
'CUDA_HOME': '/usr/local/cuda-11.8',
'GCC': 'gcc (Ubuntu 11.4.0-2ubuntu1~20.04) 11.4.0',
'GPU 0': 'NVIDIA GeForce RTX 3090',
'MMEngine': '0.10.5',
'MUSA available': False,
'NVCC': 'Cuda compilation tools, release 11.8, V11.8.89',
'OpenCV': '4.10.0',
'PyTorch': '2.5.1+cu124',
'PyTorch compiling details': 'PyTorch built with:\n'
' - GCC 9.3\n'
' - C++ Version: 201703\n'
' - Intel(R) oneAPI Math Kernel Library Version '
'2024.2-Product Build 20240605 for Intel(R) 64 '
'architecture applications\n'
' - Intel(R) MKL-DNN v3.5.3 (Git Hash '
'66f0cb9eb66affd2da3bf5f8d897376f04aae6af)\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: AVX2\n'
' - CUDA Runtime 12.4\n'
' - NVCC architecture flags: '
'-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90\n'
' - CuDNN 90.1\n'
' - Magma 2.6.1\n'
' - Build settings: BLAS_INFO=mkl, '
'BUILD_TYPE=Release, CUDA_VERSION=12.4, '
'CUDNN_VERSION=9.1.0, '
'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, '
'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 '
'-fabi-version=11 -fvisibility-inlines-hidden '
'-DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO '
'-DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON '
'-DUSE_FBGEMM -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-strict-overflow -Wno-strict-aliasing '
'-Wno-stringop-overflow -Wsuggest-override '
'-Wno-psabi -Wno-error=old-style-cast '
'-Wno-missing-braces -fdiagnostics-color=always '
'-faligned-new -Wno-unused-but-set-variable '
'-Wno-maybe-uninitialized -fno-math-errno '
'-fno-trapping-math -Werror=format '
'-Wno-stringop-overflow, LAPACK_INFO=mkl, '
'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, '
'TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, '
'USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, '
'USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, '
'USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, '
'USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, '
'USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, \n',
'Python': '3.10.15 (main, Oct 3 2024, 07:27:34) [GCC 11.2.0]',
'TorchVision': '0.20.1+cu124',
'lmdeploy': "not installed:No module named 'lmdeploy'",
'numpy_random_seed': 2147483648,
'opencompass': '0.3.9+7f2aeef',
'sys.platform': 'linux',
'transformers': '4.46.3'}

重现问题 - 代码/配置示例

在vllm_qwen2_5_1_5b_instruct.py里面修改代码如下：
from opencompass.models import VLLMwithChatTemplate

models = [
    dict(
        type=VLLMwithChatTemplate,
        # abbr='qwen2.5-1.5b-instruct-vllm',
        abbr='DeepSeek-R1-Distill-Qwen-1.5B',
        path='/home/lyg/Pth/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B',
        # path='/home/lyg/Pth/Qwen/Qwen2.5-Math-1.5B',
        model_kwargs=dict(tensor_parallel_size=1, gpu_memory_utilization=0.8),
        # max_out_len=4096,
        max_out_len=32768,
        batch_size=16,
        generation_kwargs=dict(temperature=0.6, top_p=0.95),
        run_cfg=dict(num_gpus=1),
    )
]

重现问题 - 命令或脚本

python run.py --models vllm_qwen2_5_1_5b_instruct --datasets gpqa_gen_4baadb livecodebench_gen

重现问题 - 错误信息

qwen2.5-1.5b-instruct-vllm名称可以忽略不计

其他信息

No response

[luhairong11]

了解一下，你的vllm版本是哪个呢，低版本的vllm应该不支持DeepSeek-R1-Distill系列模型吧