Model-Optimizer

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Daniel Korzekwa fadbf74d31 Make the QAT/QAD guide the central place for concepts, background, and framework selection (#2590 )

### What does this PR do?

Make the QAT/QAD guide the central place for concepts, background, and
framework selection. Have the Hugging Face and Megatron Bridge tutorials
link back to it instead of repeating explanations of QAT and QAD,
keeping the tutorials focused on setup and execution. In main QAT/QAD
guide make links to all relevant blogposts.

Note: MBridge example doc is out of scope for this MR.

### Testing
Doc changes only, manual check.

### Before your PR is "*Ready for review*"
- Is this change backward compatible?: ✅ 
- Did you write any new necessary tests?: N/A docs changes only

### Additional Information
<!-- E.g. related issue. -->


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **Documentation**
* Expanded the QAT/QAD guide with workflows, use cases, and a
comparison, including QAD’s use of a frozen BF16 teacher and logit-level
loss to recover accuracy after quantization.
* Updated README and quick-start navigation to link to the combined
QAT/QAD guide; the previous standalone QAT guide now redirects readers
there.
* Reorganized the LLM QAT tutorial: recipe guidance is now part of the
end-to-end example, while trainer examples and Python
quantize-and-fine-tune guidance are in Advanced Topics. The tutorial
also notes Triton accelerated kernels.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

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Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

2026-10-01 20:56:57 +02:00

alpamayo

Add QAD example for Alpamayo (#2271 )

2026-08-28 17:19:51 +00:00

cnn_qat

[OMNIML-3252][ONNX] MOQ + Autotune moq integration docs (#1026 )

2026-03-12 10:47:07 -07:00

dataset

Create a tool for data blend preparation to enable fast experimentation with distillation (#1888 )

2026-07-13 23:03:52 +02:00

deepseek

simple refactor(export): split TensorRT-LLM-only code into modelopt/torch/export/trtllm (#2365 )