[AMD] Document QuarkQuantization in quantization docs

[thpereir]

Describe your changes

Adds documentation for the QuarkQuantization pass (AMD Quark), which was previously absent from the Olive quantization docs.

• Adds an AMD Quark section to the quantization feature guide (docs/source/features/quantization.md) covering both the ONNX and Torch LLM backends, with example configs for each use case.
• Adds a QuarkQuantization entry to the pass API reference (docs/source/reference/pass.rst).

This is a docs-only change, independent of #2532.

Checklist before requesting a review

• Add unit tests for this change.

• Make sure all tests can pass.

• Update documents if necessary.

• Lint and apply fixes to your code by running lintrunner -a

• Is this a user-facing change? If yes, give a description of this change to be included in the release notes.

  Users can now find QuarkQuantization in the quantization documentation at https://microsoft.github.io/Olive/features/quantization.html.

(Optional) Issue link

[Copilot]

Pull request overview

Adds missing documentation for the AMD Quark-backed QuarkQuantization pass, integrating it into both the feature guide and the pass reference so users can discover the pass and its configuration.

Changes:

• Adds an “AMD Quark” section to the quantization feature guide, including brief backend descriptions and example configs (ONNX + HuggingFace PyTorch).
• Adds a QuarkQuantization entry (with an anchor) to the pass reference page.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

File	Description
docs/source/reference/pass.rst	Adds a reference/anchor entry for QuarkQuantization in the pass catalog.
docs/source/features/quantization.md	Adds an AMD Quark section describing QuarkQuantization and providing example configurations.