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[ExecuTorch][llm] Wire --use_moe_quantized_op through export pipeline and LLM config - #21540

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[ExecuTorch][llm] Wire --use_moe_quantized_op through export pipeline and LLM config#21540
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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #21126 by @digantdesai
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/digantdesai/76/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/digantdesai/76/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/digantdesai/75/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/digantdesai/76/orig
Differential Revision: D102381996
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… and LLM config

Pull Request resolved: #21126

Add `--use_moe_quantized_op` to the argparse and LLM configuration paths, thread it through `_get_source_transforms`. The transform replaces eager MoE modules once through the common export pipeline and preserves shared-expert behavior.
ghstack-source-id: 409183102
@exported-using-ghexport

Differential Revision: [D102381996](https://our.internmc.facebook.com/intern/diff/D102381996/)
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pytorch-bot Bot commented Jul 31, 2026

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21540

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@meta-cla meta-cla Bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Jul 31, 2026
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