[Bug] 使用lmdeploy0.6.4部署llava-hf/llava-v1.6-vicuna-13b-hf之后，openai调用输出为空字符串

### Checklist

- [ ] 1. I have searched related issues but cannot get the expected help.
- [ ] 2. The bug has not been fixed in the latest version.
- [ ] 3. Please note that if the bug-related issue you submitted lacks corresponding environment info and a minimal reproducible demo, it will be challenging for us to reproduce and resolve the issue, reducing the likelihood of receiving feedback.

### Describe the bug

版本信息：
torch 2.5.1+cu12.4
lmdeploy 0.6.4
GPU服务器是8卡4090, 使用下面的命令部署llava-hf/llava-v1.6-vicuna-13b-hf：
```python
lmdeploy serve api_server llava-hf/llava-v1.6-vicuna-13b-hf --tp 8 --api-keys xxxxxx
```

### Reproduction

这是我使用Openai调用的代码：
```
client = OpenAI(api_key="xxxxxx", base_url='http://0.0.0.0:23333/v1')
model_name = client.models.list().data[0].id
print(model_name)
print("loaded pipeline")
questions = [json.loads(q) for q in open(os.path.expanduser(args.question_file), "r")]
questions = get_chunk(questions, args.num_chunks, args.chunk_idx)
answers_file = os.path.expanduser(args.answers_file)
os.makedirs(os.path.dirname(answers_file), exist_ok=True)
print("loaded questions")
for line in tqdm(questions):
idx = line["question_id"]
image_file = line["image"]
category = line["category"]
qs = line["text"]
cur_prompt = qs
# print(cur_prompt)

response = client.chat.completions.create(
model=model_name,
messages=[{
'role':'user',
'content': [ {
'type': 'image_url',
'image_url': {
'url': os.path.join(args.image_folder, image_file)}
},{
'type': 'text',
'text': cur_prompt,
},
],
}],
temperature=args.temperature,
top_p=0.8,
max_tokens=512,)
outputs = response.choices[0].message.content
print(outputs)
```
之后发现输出的outputs都是空字符串

### Environment

```Shell
sys.platform: linux
Python: 3.10.0 (default, Mar 3 2022, 09:58:08) [GCC 7.5.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1,2,3,4,5,6,7: NVIDIA GeForce RTX 4090
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.1, V12.1.66
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 2.5.1+cu124
PyTorch compiling details: PyTorch built with:
- GCC 9.3
- C++ Version: 201703
- Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX512
- CUDA Runtime 12.4
- 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 90.1
- Magma 2.6.1
- 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,

TorchVision: 0.20.1+cu124
LMDeploy: 0.6.4+
transformers: 4.47.1
gradio: 5.9.1
fastapi: 0.115.6
pydantic: 2.10.4
triton: 3.1.0
NVIDIA Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X PIX PXB PXB SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU1 PIX X PXB PXB SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU2 PXB PXB X PXB SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU3 PXB PXB PXB X SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU4 SYS SYS SYS SYS X PIX PXB PXB 32-63,96-127 1 N/A
GPU5 SYS SYS SYS SYS PIX X PXB PXB 32-63,96-127 1 N/A
GPU6 SYS SYS SYS SYS PXB PXB X PXB 32-63,96-127 1 N/A
GPU7 SYS SYS SYS SYS PXB PXB PXB X 32-63,96-127 1 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_