Fail to merge lora with base model: "TypeError: ModelPT.restore_from() got an unexpected keyword argument 'mcore'"
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**Describe the bug**
Encounter this error when execute scripts/nlp_language_modeling/merge_lora_weights/merge.py with lora and base gpt 126m model.

A clear and concise description of what the bug is.

**Steps/Code to reproduce bug**
execute this on A100 dgxa100.80g.2.norm
```bash
python3 /opt/NeMo/scripts/nlp_language_modeling/merge_lora_weights/merge.py \
                trainer.devices=1 \
                trainer.num_nodes=1 \
                trainer.precision=bf16 \
                tensor_model_parallel_size=1 \
                pipeline_model_parallel_size=1 \
                gpt_model_file=/mount_workspace/results/gpt3_126m/convert_nemo/results/megatron_gpt.nemo \
                lora_model_path=/mount_workspace/results/lora-tp1/checkpoints/megatron_gpt_peft_tuning-lora.nemo \
                merged_model_path=/mount_workspace/results/lora-merge/checkpoints/lora-gpt126m-merged.nemo"
```
failed with error message 
```
Error executing job with overrides: ['trainer.devices=1', 'trainer.num_nodes=1', 'trainer.precision=bf16', 'tensor_model_parallel_size=1', 'pipeline_model_parallel_size=1', 'gpt_model_file=/mount_workspace/results/gpt3_126m/convert_nemo/results/megatron_gpt.nemo', 'lora_model_path=/mount_workspace/results/lora-tp1/checkpoints/megatron_gpt_peft_tuning-lora.nemo', 'merged_model_path=/mount_workspace/results/lora-merge/checkpoints/lora-gpt126m-merged.nemo']
Traceback (most recent call last):
File "/opt/NeMo/scripts/nlp_language_modeling/merge_lora_weights/merge.py", line 238, in <module>
main() # noqa pylint: disable=no-value-for-parameter
File "/opt/NeMo/nemo/core/config/hydra_runner.py", line 126, in wrapper
_run_hydra(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 389, in _run_hydra
_run_app(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 452, in _run_app
run_and_report(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 216, in run_and_report
raise ex
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 213, in run_and_report
return func()
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 453, in <lambda>
lambda: hydra.run(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/hydra.py", line 132, in run
_ = ret.return_value
File "/usr/local/lib/python3.10/dist-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
File "/usr/local/lib/python3.10/dist-packages/hydra/core/utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
File "/opt/NeMo/scripts/nlp_language_modeling/merge_lora_weights/merge.py", line 198, in main
lora_model_cfg = MegatronGPTLoRAModel.restore_from(
TypeError: ModelPT.restore_from() got an unexpected keyword argument 'mcore'
```

Please list *minimal* steps or code snippet for us to be able to reproduce the bug.


**Expected behavior**
no error

**Environment overview (please complete the following information)**

 - Environment location: Nvidia DGX cloud 
 - Method of NeMo install:  container "nemofw-training:23.08.03-ucx-downgrade-no-redirect"

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version
- PyTorch version
- Python version

**Additional context**
failed at this [line](https://github.com/NVIDIA/NeMo/blob/main/scripts/nlp_language_modeling/merge_lora_weights/merge.py#L199) 
     
I tried manually remove the `mcore` param in script it seems passed the point. 

