[Bug] chat with converted DeepSeek-V2-Lite-Chat model, raise RuntimeError

### 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

cannot chat with converted DeepSeek-V2-Lite-Chat model, raise /lmdeploy/src/turbomind/models/llama/LlamaDecoderLayerWeight.cc:275

similar with https://github.com/InternLM/lmdeploy/issues/2689

### Reproduction

1. convert
`lmdeploy convert deepseek /nvme/qa_test_models/deepseek-ai/DeepSeek-V2-Lite-Chat --dst-path /nvme/qa_test_models/autotest_model/workspace_deepseek-ai/DeepSeek-V2-Lite-Chat --tp 1`
2. chat
`lmdeploy chat /nvme/qa_test_models/autotest_model/workspace_deepseek-ai/DeepSeek-V2-Lite-Chat`

```
2024-12-02 11:08:31,364 - lmdeploy - WARNING - supported_models.py:104 - /nvme/qa_test_models/autotest_model/workspace_deepseek-ai/DeepSeek-V2-Lite-Chat seems to be a turbomind workspace, which can only be ran with turbomind engine.
chat_template_config:
ChatTemplateConfig(model_name='deepseek', system=None, meta_instruction=None, eosys=None, user=None, eoh=None, assistant=None, eoa=None, separator=None, capability='chat', stop_words=None)
engine_cfg:
TurbomindEngineConfig(dtype='auto', model_format=None, tp=1, session_len=163840, max_batch_size=1, cache_max_entry_count=0.8, 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)
[TM][ERROR] /nvme/qa_test_models/autotest_model/workspace_deepseek-ai/DeepSeek-V2-Lite-Chat/triton_models/weights/layers.0.attention.w_qkv.0.weight and /nvme/qa_test_models/autotest_model/workspace_deepseek-ai/DeepSeek-V2-Lite-Chat/triton_models/weights/layers.0.attention.w_qkv.0.qweight does not exist
Traceback (most recent call last):
File "/home/zhulin1/miniconda3/envs/v62new/bin/lmdeploy", line 8, in
sys.exit(run())
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/site-packages/lmdeploy/cli/entrypoint.py", line 42, in run
args.run(args)
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/site-packages/lmdeploy/cli/cli.py", line 282, in chat
run_chat(**kwargs)
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/site-packages/lmdeploy/turbomind/chat.py", line 116, in main
tm_model = tm.TurboMind.from_pretrained(model_path,
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 302, in from_pretrained
return cls(model_path=pretrained_model_name_or_path,
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 105, in __init__
self.model_comm = self._from_workspace(
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 271, in _from_workspace
self._create_weight(model_comm)
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 152, in _create_weight
future.result()
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/concurrent/futures/_base.py", line 458, in result
return self.__get_result()
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
raise self._exception
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/zhulin1/miniconda3/envs/v62new/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 145, in _create_weight_func
model_comm.create_shared_weights(device_id, rank)
RuntimeError: [TM][ERROR] Assertion fail: /lmdeploy/src/turbomind/models/llama/LlamaDecoderLayerWeight.cc:231
```

### Environment

```Shell
sys.platform: linux
Python: 3.10.15 (main, Oct 3 2024, 07:27:34) [GCC 11.2.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB
CUDA_HOME: /usr/local/cuda-11.7
NVCC: Cuda compilation tools, release 11.7, V11.7.64
GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)
PyTorch: 2.3.0+cu118
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 v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX512
- CUDA Runtime 11.8
- 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_37,code=sm_37;-gencode;arch=compute_90,code=sm_90
- CuDNN 8.7
- Magma 2.6.1
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, 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_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=2.3.0, 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: 0.18.0+cu118
LMDeploy: 0.6.3+
transformers: 4.46.2
gradio: 5.5.0
fastapi: 0.115.4
pydantic: 2.9.2
triton: 2.3.0
NVIDIA Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity
GPU0 X NV12 NV12 NV12 NV12 NV12 NV12 NV12 0-27,56-83 0
GPU1 NV12 X NV12 NV12 NV12 NV12 NV12 NV12 0-27,56-83 0
GPU2 NV12 NV12 X NV12 NV12 NV12 NV12 NV12 0-27,56-83 0
GPU3 NV12 NV12 NV12 X NV12 NV12 NV12 NV12 0-27,56-83 0
GPU4 NV12 NV12 NV12 NV12 X NV12 NV12 NV12 28-55,84-111 1
GPU5 NV12 NV12 NV12 NV12 NV12 X NV12 NV12 28-55,84-111 1
GPU6 NV12 NV12 NV12 NV12 NV12 NV12 X NV12 28-55,84-111 1
GPU7 NV12 NV12 NV12 NV12 NV12 NV12 NV12 X 28-55,84-111 1

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_