[Bug] OOM in jetson but not in x86

### 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

我量化了qwen2.5-7b成为w4a16，然后使用代码lmdeploy/turbomind/chat.py，在x86的ubuntu20.04（3060ti 8G）上跑没问题，在jetson orin nx （16G）上跑就出现了OOM，哪怕我把cache_max_entry_count设置为0.01还是OOM，实际上我使用jtop来监控内存也发现内存远没溢出，目前难以排查。

### Reproduction

lmdeploy/turbomind/chat.py，然后model_path设置为量化后的qwen2.5，同样的代码在x86上ok，在jetson上不ok
x86和jetson的lmdeploy版本均为最新的main，0.6.5，均是cuda12。均使用jetson的源码编译（https://github.com/InternLM/lmdeploy/blob/main/docs/en/get_started/installation.md#install-from-source ），jetson已生成build/lib/_turbomind.cpython-310-aarch64-linux-gnu.so

### Environment

```Shell
sys.platform: linux
Python: 3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 21:44:20) [GCC 12.3.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0: Orin
CUDA_HOME: /usr/local/cuda-12.2
NVCC: Cuda compilation tools, release 12.2, V12.2.140
GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 2.3.0
PyTorch compiling details: PyTorch built with:
- GCC 11.4
- C++ Version: 201703
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: NO AVX
- CUDA Runtime 12.2
- NVCC architecture flags: -gencode;arch=compute_87,code=sm_87
- CuDNN 8.9.4
- Build settings: BLAS_INFO=open, BUILD_TYPE=Release, CUDA_VERSION=12.2, CUDNN_VERSION=8.9.4, CXX_COMPILER=/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -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, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=open, TORCH_VERSION=2.3.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=OFF, USE_EIGEN_FOR_BLAS=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=OFF, USE_MKLDNN=OFF, USE_MPI=ON, USE_NCCL=0, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,

TorchVision: 0.18.0a0+6043bc2
LMDeploy: 0.6.5+c5f4014
transformers: 4.45.0
gradio: 3.35.2
fastapi: 0.112.0
pydantic: 2.10.4
triton: 3.0.0
```

### Error traceback
chat_template_config:
ChatTemplateConfig(model_name='qwen2d5', system=None, meta_instruction=None, eosys=None, user=None, eoh=None, assistant=None, eoa=None, tool=None, eotool=None, separator=None, capability='chat', stop_words=None)
engine_cfg:
TurbomindEngineConfig(dtype='auto', model_format=None, tp=1, session_len=32768, max_batch_size=1, cache_max_entry_count=0.001, cache_chunk_size=1, cache_block_seq_len=64, enable_prefix_caching=False, quant_policy=0, rope_scaling_factor=0.0, use_logn_attn=False, download_dir=None, revision=None, max_prefill_token_num=8192, num_tokens_per_iter=0, max_prefill_iters=1)
Traceback (most recent call last):
File "/home/gac/lmdeploy/test.py", line 189, in
main('/home/gac/Desktop/qwen2d5-turbomind')
File "/home/gac/lmdeploy/test.py", line 116, in main
tm_model = tm.TurboMind.from_pretrained(model_path,
File "/home/gac/lmdeploy/lmdeploy/turbomind/turbomind.py", line 303, in from_pretrained
return cls(model_path=pretrained_model_name_or_path,
File "/home/gac/lmdeploy/lmdeploy/turbomind/turbomind.py", line 106, in __init__
self.model_comm = self._from_workspace(
File "/home/gac/lmdeploy/lmdeploy/turbomind/turbomind.py", line 272, in _from_workspace
self._create_weight(model_comm)
File "/home/gac/lmdeploy/lmdeploy/turbomind/turbomind.py", line 153, in _create_weight
future.result()
File "/home/gac/miniforge3/envs/myenv/lib/python3.10/concurrent/futures/_base.py", line 458, in result
return self.__get_result()
File "/home/gac/miniforge3/envs/myenv/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
raise self._exception
File "/home/gac/miniforge3/envs/myenv/lib/python3.10/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/gac/lmdeploy/lmdeploy/turbomind/turbomind.py", line 146, in _create_weight_func
model_comm.create_shared_weights(device_id, rank)
RuntimeError: [TM][ERROR] CUDA runtime error: out of memory /home/gac/lmdeploy/src/turbomind/utils/memory_utils.cu:31
_No response_