LoRA support for HF::AutoModelForCausalLM
[🤖]: Hi @akoumpa 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11494644522) for this PR just finished successfully

So it might be time to merge this PR or get some approvals

I'm just a bot so I'll leave it you what to do next.

//cc @pablo-garay @ko3n1g @akoumpa : Any chance you have the script to convert phi3-mini-4k from hf to .nemo or megatron format ? Its ok even if it is a test script. I'll use it as a starting point
# What does this PR do ?
https://github.com/NVIDIA/NeMo/pull/10962 + lora

Running the example:
```
$ python3 NeMo/examples/llm/peft/hf.py --model /mnt/4tb/nemo_lite/phi3-mini-4k/

...
      | Name  | Type            | Params | Mode
    --------------------------------------------------
    0 | model | Phi3ForCausalLM | 3.9 B  | train
    --------------------------------------------------
    50.3 M    Trainable params
    3.8 B     Non-trainable params
    3.9 B     Total params
    15,485.645Total estimated model params size (MB)
    679       Modules in train mode
    0         Modules in eval mode
Epoch 0:   0%|▏               126/43800 [00:18<1:45:46,  6.88it/s, v_num=4-36, lr=1e-5, train_log_step=1.400]
```

TODO + add nemorun recipe example output



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