recipes doc

[shengliangxu]

What does this PR do?

Type of change: ?

Usage

# Add a code snippet demonstrating how to use this

Testing

Before your PR is "Ready for review"

Make sure you read and follow Contributor guidelines and your commits are signed (git commit -s -S).

Make sure you read and follow the Security Best Practices (e.g. avoiding hardcoded trust_remote_code=True, torch.load(..., weights_only=False), pickle, etc.).

• Is this change backward compatible?: ✅ / ❌ / N/A
• If you copied code from any other sources or added a new PIP dependency, did you follow guidance in CONTRIBUTING.md: ✅ / ❌ / N/A
• Did you write any new necessary tests?: ✅ / ❌ / N/A
• Did you update Changelog?: ✅ / ❌ / N/A

Additional Information

[copy-pr-bot]

Auto-sync is disabled for draft pull requests in this repository. Workflows must be run manually.

Contributors can view more details about this message here.

[coderabbitai]

Important

Review skipped

Draft detected.

Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Run ID: 7f7e4316-e769-469b-8180-69ba71531598

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

Use the checkbox below for a quick retry:

• 🔍 Trigger review

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch shengliangx/recipes-doc

---

_{Comment @coderabbitai help to get the list of available commands and usage tips.}

[github-actions]

PR Preview Action v1.8.1
🚀 View preview at https://NVIDIA.github.io/Model-Optimizer/pr-preview/pr-1165/
Built to branch gh-pages at 2026-04-02 00:31 UTC. Preview will be ready when the GitHub Pages deployment is complete.

[codecov]

Codecov Report

❌ Patch coverage is 84.79730% with 45 lines in your changes missing coverage. Please review.
✅ Project coverage is 70.55%. Comparing base (de55e8a) to head (8a961e3).

Files with missing lines	Patch %	Lines
modelopt/torch/quantization/conversion.py	78.78%	21 Missing ⚠️
...delopt/onnx/llm_export_utils/quantization_utils.py	50.00%	5 Missing ⚠️
modelopt/torch/quantization/algorithms.py	89.74%	4 Missing ⚠️
modelopt/torch/quantization/config.py	96.07%	4 Missing ⚠️
modelopt/torch/quantization/utils/core_utils.py	42.85%	4 Missing ⚠️
...torch/quantization/backends/fp8_per_tensor_gemm.py	70.00%	3 Missing ⚠️
modelopt/torch/quantization/backends/nvfp4_gemm.py	66.66%	3 Missing ⚠️
modelopt/torch/quantization/compress.py	66.66%	1 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #1165       +/-   ##
===========================================
+ Coverage   54.54%   70.55%   +16.00%     
===========================================
  Files         348      349        +1     
  Lines       39766    40021      +255     
===========================================
+ Hits        21691    28237     +6546     
+ Misses      18075    11784     -6291     

Flag	Coverage Δ
unit	54.61% <76.01%> (+0.06%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.