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I have in-house model for which
hidden_size != num_heads * head_size
(attention dimension is higher then hidden_size) and lora doesn't work properly. But after this fix, everything works exactly the same as in Python (same generations).My target modules:
It probably makes sense to make similar changes for
kCROSS_ATTN_Q,kCROSS_ATTN_V,kCROSS_ATTN_K