### What does this PR do?
Type of change: Documentation
Add detailed quantization aware training (QAT and QAD) guide in our
docs, featuring examples on how to run in HF, Megatron-Bridge, and
Megatron-LM
### Usage
```python
# Add a code snippet demonstrating how to use this
```
### Testing
<!-- Mention how have you tested your change if applicable. -->
### Before your PR is "*Ready for review*"
Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)
and your commits are signed (`git commit -s -S`).
Make sure you read and follow the [Security Best
Practices](https://github.com/NVIDIA/Model-Optimizer/blob/main/SECURITY.md#security-coding-practices-for-contributors)
(e.g. avoiding hardcoded `trust_remote_code=True`, `torch.load(...,
weights_only=False)`, `pickle`, etc.).
- Is this change backward compatible?: ✅ / ❌ / N/A <!--- If ❌, explain
why. -->
- If you copied code from any other sources or added a new PIP
dependency, did you follow guidance in `CONTRIBUTING.md`: ✅ / ❌ / N/A
<!--- Mandatory -->
- Did you write any new necessary tests?: ✅ / ❌ / N/A <!--- Mandatory
for new features or examples. -->
- Did you update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?:
✅ / ❌ / N/A <!--- Very short summary of changes only for new features,
backward breaking changes, deprecations, or fixes for critical bugs
present in previous releases. -->
- Did you get Claude approval on this PR?: ✅ / ❌ / N/A <!--- Run
`/claude review`. NVIDIA org members can self-trigger for complex
changes; orthogonal to CodeRabbit. -->
### Additional Information
<!-- E.g. related issue. -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Documentation**
* Added a comprehensive guide for quantization-aware training (QAT) and
distillation (QAD), including workflows, framework guidance, setup,
training, and export steps.
* Updated the Guides navigation to include the new QAT/QAD guide.
* Expanded quantization guidance with QAT/QAD workflows, scale handling,
and NVFP4 references.
* Improved save and restore guidance with clearer references and an
explanatory note.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Jennifer Chen <jennifchen@nvidia.com>
Fix broken doc building CI and pin docs/test dependencies to avoid such
issues in future
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Documentation**
* Improved several guide cross-references so links resolve more reliably
in the rendered docs.
* Updated references in the quantization guides for better navigation
between related topics.
* **Chores**
* Tightened versions for documentation and test tooling to improve
consistency in local and CI environments.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
Jenny Chen