Comments (3)
dingran
commented on August 14, 2024
1
yeah, I think it'd be good to maybe consolidate the two; i see example.py still uses the older version
also in the new version you can get rid of the cuda cache vectors?
https://github.com/ZrrSkywalker/LLaMA-Adapter/blob/fd4fb6cb8f947c941c5ec3b9dd6342b4a06ed727/alpaca_finetuning_v1/llama/model.py#L84-L85
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csuhan
commented on August 14, 2024
Thanks for pointing out this bug!
The model in llama/model is an early version of LLaMA-Adapter,
https://github.com/ZrrSkywalker/LLaMA-Adapter/blob/fd4fb6cb8f947c941c5ec3b9dd6342b4a06ed727/llama/model.py#L151
while the model in alpaca_finetuning_v1/llama/model is an updated version. We use tanh to limit the range of gate.
https://github.com/ZrrSkywalker/LLaMA-Adapter/blob/fd4fb6cb8f947c941c5ec3b9dd6342b4a06ed727/alpaca_finetuning_v1/llama/model.py#L121
Anyway, we should use the same format of gate in both training and inference.
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csuhan
commented on August 14, 2024
Thanks for your suggestions. We will clean it soon.😀
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