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Model-Optimizer/tests/gpu/torch/quantization/plugins
Jenny Chen 8a8c250d12 Latent MOE & Repeated MTP support for NemotronH; fix KV cache quant export (#830)
## What does this PR do?

**Type of change:** New feature and bug fix

**Overview:** 

Support Latent MOE and Repeated MTP for NemotronH models
- Enable latent MOE modules during megatron import/export
- Fix KV cache quantization export: remove old
`qkv_layer.output_quantizer` export & replace with proper
`k/v_bmm_quantizer` logic
- Improvements to EP amax sync
- Support repeated MTP import/export for NemotronH models (only BF16
export for MTP for now)

## Usage
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```python
# Add a code snippet demonstrating how to use this
```

## Testing
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- **Did you write any new necessary tests?**: Yes/No
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## Additional Information
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

## Release Notes

* **New Features**
* Added support for grouped MLP and self-attention scaling operations in
model export workflows
* Enhanced model parallel training capabilities with improved component
mapping
* Expanded quantization configuration handling with dynamic module
exclusion across distributed ranks
  * Improved support for additional transformer engine components

* **Refactor**
* Reorganized internal export and import logic for improved
maintainability and specialist model architecture support

<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: jenchen13 <jennifchen@nvidia.com>
Signed-off-by: Jennifer Chen <jennifchen@nvidia.com>
Signed-off-by: Jenny Chen <jennifchen@nvidia.com>
2026-02-04 20:18:00 +00:00
..
2025-10-28 18:03:46 +00:00