llm performance scripts 
State: open | Pull request: yes
Labels: name: NLP

name: Run CICD

name: r2.1.1

# What does this PR do ?

Adds scripts for llm pre-training and fine-tuning, optimized for performance

**Collection**: [llm]

# Changelog 

Added arg params for HuggingFace Token, NEMO_HOME env var and fine-tuning scheme

```
-hf/--hf_token # needed for downloading checkpoints and tokenizers from HF
-nh/--nemo_home # needed for accessing locally stored checkpoints and tokenizers
-f/--finetuning # 'lora' or 'sft'. default is 'lora' 
```

# Usage

```python
python3 scripts/llm/performance/pretrain_llama3_8b.py -a <slurm_account> -p <slurm_partition>
```

# GitHub Actions CI

The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.

The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".

# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

Anyone in the community is free to review the PR once the checks have passed. 
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# Additional Information
* Related to # (issue)


[🤖]: Hi @malay-nagda 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/12752166721) 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

<!-- pylint-output-strict-mode-false -->

beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.

---

Your code was analyzed with PyLint. The following annotations have been identified:

```
************* Module nemo.collections.nlp.modules.common.tokenizer_utils
nemo/collections/nlp/modules/common/tokenizer_utils.py:73:0: C0301: Line too long (199/119) (line-too-long)
nemo/collections/nlp/modules/common/tokenizer_utils.py:96:0: C0301: Line too long (149/119) (line-too-long)
nemo/collections/nlp/modules/common/tokenizer_utils.py:131:0: C0301: Line too long (146/119) (line-too-long)
nemo/collections/nlp/modules/common/tokenizer_utils.py:233:0: C0301: Line too long (146/119) (line-too-long)
nemo/collections/nlp/modules/common/tokenizer_utils.py:42:0: C0115: Missing class docstring (missing-class-docstring)

-----------------------------------
Your code has been rated at 9.50/10
```

---

Mitigation guide:

* Add sensible and useful docstrings to functions and methods
* For trivial methods like getter/setters, consider adding `# pylint: disable=C0116` inside the function itself
* To disable multiple functions/methods at once, put a `# pylint: disable=C0116` before the first and a `# pylint: enable=C0116` after the last.

By applying these rules, we reduce the occurance of this message in future.

Thank you for improving NeMo's documentation!