[Bug] Qwen3-30B moe doesn't work while Qwen3-32B worked.

### 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

Add dll path C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin, please note cuda version should >= 11.3 when compiled with cuda 11
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
2025-05-02 08:36:31,341 - lmdeploy - WARNING - supported_models.py:121 - AutoConfig.from_pretrained failed for C:\Qwen\Qwen3-30B-A3B. Exception: The checkpoint you are trying to load has model type `qwen3_moe` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
You are using a model of type qwen3_moe to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
Convert to turbomind format: 0%| | 0/48 [00:00
sys.exit(run())
File "C:\lmdeploy\lib\site-packages\lmdeploy\cli\entrypoint.py", line 39, in run
args.run(args)
File "C:\lmdeploy\lib\site-packages\lmdeploy\cli\serve.py", line 322, in api_server
run_api_server(args.model_path,
File "C:\lmdeploy\lib\site-packages\lmdeploy\serve\openai\api_server.py", line 1115, in serve
VariableInterface.async_engine = pipeline_class(model_path=model_path,
File "C:\lmdeploy\lib\site-packages\lmdeploy\serve\async_engine.py", line 277, in __init__
self._build_turbomind(model_path=model_path, backend_config=backend_config, **kwargs)
File "C:\lmdeploy\lib\site-packages\lmdeploy\serve\async_engine.py", line 328, in _build_turbomind
self.engine = tm.TurboMind.from_pretrained(model_path,
File "C:\lmdeploy\lib\site-packages\lmdeploy\turbomind\turbomind.py", line 280, in from_pretrained
return cls(model_path=pretrained_model_name_or_path,
File "C:\lmdeploy\lib\site-packages\lmdeploy\turbomind\turbomind.py", line 108, in __init__
self.model_comm = self._from_hf(model_source=model_source,
File "C:\lmdeploy\lib\site-packages\lmdeploy\turbomind\turbomind.py", line 215, in _from_hf
tm_model.export()
File "C:\lmdeploy\lib\site-packages\lmdeploy\turbomind\deploy\target_model\base.py", line 204, in export
if self.model(i, reader):
File "C:\lmdeploy\lib\site-packages\lmdeploy\turbomind\deploy\module.py", line 334, in __call__
m(i, r)
File "C:\lmdeploy\lib\site-packages\lmdeploy\turbomind\deploy\module.py", line 71, in __call__
return self.apply(*args, **kwargs)
File "C:\lmdeploy\lib\site-packages\lmdeploy\turbomind\deploy\module.py", line 151, in apply
self.model.save_split(gate, self._moe_ffn_gate.format(i))
File "C:\lmdeploy\lib\site-packages\lmdeploy\turbomind\deploy\target_model\base.py", line 172, in save_split
if copy or (tensor.dim() == 1 and split_dim == 0):
AttributeError: 'NoneType' object has no attribute 'dim'

### Reproduction

lmdeploy serve api_server C:\Qwen\Qwen3-30B-A3B --server-port 1234 --api-key abcd+1234 --session-len 131072 --max-batch-size 128

### Environment

```Shell
Qwen3-32B worked
```

### Error traceback

```Shell

```