Comments (2)
@edwardjhu can you please tell us why at least one of A or B has to be non-zero?
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Related Issues (20)
- Conv1d and Conv3d are not working HOT 4
- fine tuning RoBERTa-base with LoRA (ValueError: Classification metrics can't handle a mix of binary and multilabel-indicator targets)
- The content on pypi does not seem to be updated HOT 3
- Using gradient checkpoint with LoRA
- Probably a bug in the lora embeding class in loralib/layers.py HOT 2
- Cannot use lora for a pre-trained model HOT 4
- Some questions about LoRA for pre-trained model
- Question about reproducing RoBERTa base Fine-tune HOT 1
- T(w) problem
- batch=1,why adapter latency so much vs. LoRA in paper??? HOT 3
- AttributeError: 'lora.Conv2d' object has no attribute 'weight' HOT 3
- Support multi-lora fine tune in the same GPU
- Not able to reproduce the scores using provided checkpoint on NLG tasks HOT 5
- Is the output the entire model? HOT 3
- LoRA adapter checkpoints not downloadable HOT 8
- The description and the behavior don't match HOT 2
- Question about seed numbers.
- Question about the test set of the GLUE benchmark HOT 1
- [Minor] Possible typos in weight initialization
- How to compute that GPT-2 M (FTTop2 ) trainable parameters number is 25.19M?
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