[Bugfix] fixes wna16 quantization for dense layers.

[sighingnow]

WNA16 quantization uses GPTQ/AWQ for dense linear layers, which require modules_in_block_to_quantize that resolved from the safetensors metadata to decide which layers are quantization.

However, WNA16 doesn't pass the information to GPTQConfig/AWQConfig when resolving the linear method implementation.

[gemini-code-assist]

Code Review

This pull request correctly fixes an issue with WNA16 quantization for dense layers by ensuring modules_in_block_to_quantize is passed to the underlying GPTQ/AWQ configurations. The changes look good and address the described problem. I've added a couple of comments regarding maintainability: one about avoiding an internal API from a dependency, and another about simplifying a redundant dictionary update for better code clarity.

[mergify]

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[mergify]

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @sighingnow.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

[mergify]

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @sighingnow.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

[github-actions]

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