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Fix default Lora/ (IA)^3 scaling in forward #770
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julian-fong
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Thank you for working on this!
This looks good to me, I only provided some minor suggestions that could be included.
Co-authored-by: TimoImhof <[email protected]>
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Resolves issue described in #760.
IMPORTANT: this fix restores weights compatibility with adapter-transformers. Compatibility to previous adapters versions is kept via a compat patch.
Details
The current implementation of LoRA/ (IA)^3 in
adapters
versions < 1.1.0 does not correctly implement adapter states scaling via the LoRAalpha
attribute, effectively ignoringalpha
and always applying a scaling of 1.0.This PR restores the correct original behavior as found in adapter-transformers/ original LoRA implementation.
As this change breaks all adapters pre-trained using
adapters
versions 0.1.0 - 1.0.1, a backward compatibility patch is introduced that automatically setsalpha = r
for LoRAs for adapters that were trained using affected versions. This ensures all previous adapters continue to behave exactly as trained (ie give the exact same output using newer versions).