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Support bf16 activations in Llama4 ExecuTorch XNNPACK export (#21784) - #21784

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Support bf16 activations in Llama4 ExecuTorch XNNPACK export (#21784)#21784
JakeStevens wants to merge 1 commit into
pytorch:mainfrom
JakeStevens:export-D115569455

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@JakeStevens JakeStevens commented Aug 12, 2026

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Summary:

Adds a working --precision bf16 path to export_llm_backbone so a Llama4 mini checkpoint can be exported with bf16 activations instead of the default fp32 activations, while keeping the quantized linears delegated to XNNPACK.

Reviewed By: billmguo, telgamal-1

Differential Revision: D115569455

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21784

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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 Aug 12, 2026
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@JakeStevens has exported this pull request. If you are a Meta employee, you can view the originating Diff in D115569455.

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This PR needs a release notes: label

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…#21784)

Summary:

Adds a working `--precision bf16` path to `export_llm_backbone` so a Llama4 mini checkpoint can be exported with bf16 activations instead of the default fp32 activations, while keeping the quantized linears delegated to XNNPACK.

Reviewed By: billmguo, telgamal-1

Differential Revision: D115569455
@meta-codesync meta-codesync Bot changed the title Support bf16 activations in Llama4 ExecuTorch XNNPACK export Support bf16 activations in Llama4 ExecuTorch XNNPACK export (#21784) Aug 12, 2026

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Review automatically exported from Phabricator review in Meta.

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