[amer-sinha]

What does this PR do?

adds the ability for Gemma2 models to run without post attention layer normalization and post feedforward layer normalization.

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• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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[github-actions]

[For maintainers] Suggested jobs to run (before merge)

run-slow: gemma2, t5gemma

[vasqu]

Are there any models that use this? We usually only support features that are already included in (to be) published models

[Cyrilvallez]

Indeed! As @vasqu said, the best is to create a new model with modular (it will require very little code and efforts with modular)! 🤗

[ArthurZucker]

Thanks for the PR, and sorry it didn't make it in! This branch is based on v4, and v5 is very different, so rather than rebasing we'd love to invite you to open a new PR against main using our latest tools and good practices:

• Transformers tenets
• mlinter and the modeling rules it enforces (make typing)
• Modular transformers
• Contributing guide

Closing this one in the meantime, thanks again!