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I confirmed that there is code in the RotaryPEMultiHeadAttention class that reduces the dimension using a parameter called rope_percentage. (URL:
annotated_deep_learning_paper_implementations/labml_nn/transformers/rope/__init__.py
Line 205 in 285cb37
I am curious in what cases you would set rope_percentage to a value less than 1.
(Of course, in experiment.py, we confirmed that rope_percentage is set to 1.0.)
The text was updated successfully, but these errors were encountered:
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I confirmed that there is code in the RotaryPEMultiHeadAttention class that reduces the dimension using a parameter called rope_percentage.
(URL:
annotated_deep_learning_paper_implementations/labml_nn/transformers/rope/__init__.py
Line 205 in 285cb37
I am curious in what cases you would set rope_percentage to a value less than 1.
(Of course, in experiment.py, we confirmed that rope_percentage is set to 1.0.)
The text was updated successfully, but these errors were encountered: