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## What does this PR do? **Type of change:** new feature <!-- Use one of the following: Bug fix, new feature, new example, new tests, documentation. --> **Overview:** Add a new calibration method for weight scale search. It considers activation information by weighing scale candidates with local hessian matrix. Initial experiments with Qwen3 8B NVFP4 shows improvements. ## Usage <!-- You can potentially add a usage example below. --> Use `NVFP4_W4A4_WEIGHT_LOCAL_HESSIAN_CFG` quantization config for quantization and evaluation. ## Testing <!-- Mention how have you tested your change if applicable. --> ## Before your PR is "*Ready for review*" <!-- If you haven't finished some of the above items you can still open `Draft` PR. --> - **Make sure you read and follow [Contributor guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)** and your commits are signed. - **Is this change backward compatible?**: Yes/No <!--- If No, explain why. --> - **Did you write any new necessary tests?**: Yes/No - **Did you add or update any necessary documentation?**: Yes/No - **Did you update [Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?**: Yes/No <!--- Only for new features, API changes, critical bug fixes or bw breaking changes. --> ## Additional Information <!-- E.g. related issue. --> <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit ## Release Notes * **New Features** * Added local Hessian-weighted MSE calibration pathway for NVFP4 per-block quantization with configurable amax search parameters and FP8 scale sweep support. * **Tests** * Added test coverage for the new local Hessian weight-only quantization configuration. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: Fridah-nv <201670829+Fridah-nv@users.noreply.github.com> Signed-off-by: Frida Hou <201670829+Fridah-nv@users.noreply.github.com>