Error while exporting to TensorRTLLM format - AttributeError: 'NoneType' object has no attribute 'get'
@yaoyu-33 @pradeepdev-1995 Can I work on this issue? It seems the **model_config.yaml** file is being created inside temp directory during exporting ,but the created model_config.yml file is empty. that's why the Nontype object is returning
I am using the given image  ```nvcr.io/nvidia/nemo:24.01.gemma``` .
@SarthakNikhal  @okuchaiev  can you please check on this? I am not using docker directly to run the container (```nvcr.io/nvidia/nemo:24.01.gemma```) on the GPU machine.
Instead, running these in Kubernetes managed cluster(version 1.27.9) in the following way

Download the docker image (```nvcr.io/nvidia/nemo:24.01.gemma```).
Push it to our container Registry.
deploy that image as a jupyter notebook.
work using that notebook. This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days. This issue was closed because it has been inactive for 7 days since being marked as stale.
I could finetune the gemma model and merge the adapter with base model by following this official notebook
https://github.com/NVIDIA/GenerativeAIExamples/blob/main/models/Gemma/lora.ipynb
Now Tried the given code for TensorRTLLM model conversion
```
from nemo.export import TensorRTLLM
trt_llm_exporter = TensorRTLLM(model_dir="/llmmodels/gemma_pubmedqa_merged_trt_llm")
trt_llm_exporter.export(nemo_checkpoint_path="/llmmodels/merged_model/gemma_lora_pubmedqa_merged.nemo", model_type="gemma", n_gpus=1)
```
But it is not working and gives this error
![Screenshot from 2024-04-18 20-05-52](https://github.com/NVIDIA/NeMo/assets/41164884/5e828643-f23c-4f79-b3a1-bdd6287df6ca)
I am using the docker container for the fine-tuning task