Files
Model-Optimizer/docs/source
vishalpandya1990 87c9f8cf83 Update documentation guide for ONNX INT4 PTQ on Windows cuda13 host (#2022)
### What does this PR do?

Type of change: Documentation update

- Update documentation guide for ONNX INT4 PTQ on Windows cuda13 host -
mention about compatible onnxruntim-gpu and cupy-cuda13x packages.

### Testing

- Windows's onnx_ptq\genai_llm INT4 PTQ example with a 1B genai-cuda-ep
ONNX model + local doc building

### 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 <!--- Only for new features, API changes, critical bug fixes
or backward incompatible changes. -->
- 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**
* Clarified Windows CUDA prerequisites for calibration and
GPU-accelerated quantization.
* Added setup guidance for CUDA 12 and CUDA 13.x, including compatible
packages and cuDNN requirements.
* Expanded installation verification steps for CUDA, ONNX Runtime, and
CuPy.
* Updated the GenAI LLM example with CUDA version compatibility
guidance.

* **Enhancements**
* Added runtime logging of detected CUDA environment paths and version
details during quantization.

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

Signed-off-by: vipandya <vipandya@nvidia.com>
2026-07-28 11:42:47 +05:30
..
2025-06-05 13:24:07 -07:00
2025-03-03 23:02:22 +05:30
2026-06-27 01:00:25 +05:30