[Bug] deploy InterVL2.5 8B，Aborted (core dumped)

命令行部署报错

`[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] void turbomind::LogitsProcessorLayer::freeBuffer() [with T = float] stop
[TM][DEBUG] turbomind::LogitsProcessorLayer::~LogitsProcessorLayer() [with T = float] stop
[TM][DEBUG] turbomind::SamplingLayer::~SamplingLayer() [with T = float] start
[TM][DEBUG] void turbomind::SamplingLayer::freeBuffer() [with T = float] start
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] void turbomind::SamplingLayer::freeBuffer() [with T = float] stop
[TM][DEBUG] turbomind::SamplingLayer::~SamplingLayer() [with T = float] stop
[TM][DEBUG] turbomind::StopCriteriaLayer::~StopCriteriaLayer() [with T = float] start
[TM][DEBUG] void turbomind::StopCriteriaLayer::freeBuffer() [with T = float] start
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] void turbomind::StopCriteriaLayer::freeBuffer() [with T = float] stop
[TM][DEBUG] turbomind::StopCriteriaLayer::~StopCriteriaLayer() [with T = float] stop
[TM][DEBUG] void turbomind::UnifiedDecoder::freeBuffer() [with T = __nv_bfloat16]
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] Free buffer 0x6a492a000
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
[TM][DEBUG] Free buffer 0x7fb5b3000000
[TM][DEBUG] virtual void turbomind::Allocator::free(void**, bool)
Aborted (core dumped)`

### Reproduction

mdeploy serve api_server /home/software/checkpoint --server-port 80 --log-level DEBUG --tp 1

### Environment

```Shell
lmdeploy check_env
sys.platform: linux
Python: 3.12.8 | packaged by Anaconda, Inc. | (main, Dec 11 2024, 16:31:09) [GCC 11.2.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0: NVIDIA A10
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.4, V12.4.131
GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 2.4.0+cu121
PyTorch compiling details: PyTorch built with:
- GCC 9.3
- C++ Version: 201703
- Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX512
- CUDA Runtime 12.1
- 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
- CuDNN 90.2 (built against CUDA 12.5)
- Built with CuDNN 90.1
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, 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 -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-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -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, PERF_WITH_AVX512=1, TORCH_VERSION=2.4.0, 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,

TorchVision: 0.19.0+cu121
LMDeploy: 0.6.4+
transformers: 4.47.1
gradio: Not Found
fastapi: 0.115.6
pydantic: 2.10.4
triton: 3.0.0
NVIDIA Topology:
GPU0 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X 0-7 0 N/A

Legend:

X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
```

### Error traceback

_No response_