gemma : more consistent attention scaling for v2 and v3 #13951
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fix #12433 (comment)
I suspect the reference configs for Gemma 27B v2 and v3 are borked:
https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L173
https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L289
It does not make sense to normalize the Q tensor with
hidden_size / num_heads. It should be normalized withhead_size, like all other models.This change improves PPL and fixes the catastrophic generation at large contexts (see #12433 (comment))