fix issues with convert_nemo_llama_to_hf.py
Do we have a test for `convert_nemo_llama_to_hf.py` anywhere?

Like we have, for example, for the script `convert_hf_llama_to_nemo.py` working the other way around [here](https://github.com/NVIDIA/NeMo/blob/521cfb4c9359c4033f34776da4b73fabf3e94240/Jenkinsfile#L131-L138). @janekl I'm not sure if there's such a test since I'm not the original author of `convert_nemo_llama_to_hf.py`. The changes here are made based on trying to load the files into hf (which didn't work previously if you use the pytorch_model.bin directly, since all model weights are contained within ['state_dict'] which the corresponding pytorch_model.bin from HF do not, and instead expose the keys directly). The only other change here is ensuring `model_config.tensor_model_parallel_size = 1`, which makes the conversion fail otherwise when running with `--cpu-only ` Maybe Utkarsh Uppal, the author of https://github.com/NVIDIA/NeMo/pull/7770 might know. jenkins
# What does this PR do ?

fix issues with convert_nemo_llama_to_hf.py

**Collection**: nlp

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