Error When loading 'openbmb/MiniCPM-Llama3-V-2_5'

### Checklist

- [X] 1. I have searched related issues but cannot get the expected help.
- [x] 2. The bug has not been fixed in the latest version.

### Describe the bug

I try loading and make inference using the sample code given in the github examples directory. The model that i want to load is MiniCPM-Llama3-V-2_5. Could someone help me.

### Reproduction

from lmdeploy import pipeline
from lmdeploy.vl import load_image

pipe = pipeline('openbmb/MiniCPM-Llama3-V-2_5')

image = load_image('https://raw.githubusercontent.com/open-mmlab/mmdeploy/main/tests/data/tiger.jpeg')
response = pipe(('describe this image', image))
print(response)

### Environment

```Shell
sys.platform: linux
Python: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1: NVIDIA A100 80GB PCIe
CUDA_HOME: /usr/local/cuda-12.2
NVCC: Cuda compilation tools, release 12.2, V12.2.140
GCC: x86_64-linux-gnu-gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 2.2.2+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 v3.3.2 (Git Hash 2dc95a2ad0841e29db8b22fbccaf3e5da7992b01)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX2
- 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 8.9.2
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, 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_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 -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=2.2.2, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, 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: 0.17.2+cu121
LMDeploy: 0.4.2+
transformers: 4.41.2
gradio: Not Found
fastapi: 0.111.0
pydantic: 2.7.3
triton: 2.2.0
```

### Error traceback

```Shell
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
Cell In[1], line 7
4 pipe = pipeline('openbmb/MiniCPM-Llama3-V-2_5')
6 image = load_image('https://raw.githubusercontent.com/open-mmlab/mmdeploy/main/tests/data/tiger.jpeg')
----> 7 response = pipe(('describe this image', image))
8 print(response)

File ~/fahmie/lm_deploy/lm_deploy/lib/python3.10/site-packages/lmdeploy/serve/async_engine.py:326, in AsyncEngine.__call__(self, prompts, gen_config, request_output_len, top_k, top_p, temperature, repetition_penalty, ignore_eos, do_preprocess, adapter_name, use_tqdm, **kwargs)
318 if gen_config is None:
319 gen_config = GenerationConfig(
320 max_new_tokens=request_output_len,
321 top_k=top_k,
(...)
324 repetition_penalty=repetition_penalty,
325 ignore_eos=ignore_eos)
--> 326 return self.batch_infer(prompts,
327 gen_config=gen_config,
328 do_preprocess=do_preprocess,
329 adapter_name=adapter_name,
330 use_tqdm=use_tqdm,
331 **kwargs)

File ~/fahmie/lm_deploy/lm_deploy/lib/python3.10/site-packages/lmdeploy/serve/async_engine.py:402, in AsyncEngine.batch_infer(self, prompts, gen_config, do_preprocess, adapter_name, use_tqdm, **kwargs)
399 need_list_wrap = isinstance(prompts, str) or isinstance(
...
--> 402 assert isinstance(prompts, List), 'prompts should be a list'
403 if gen_config is None:
404 gen_config = GenerationConfig()

AssertionError: prompts should be a list
```