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From the principle of LLM-Pruner the method uses a general approach for selecting which weights to prune, theoretically making it applicable to all models. However, why does this code only support a limited range of models instead of being universally applicable? What makes it different when implementing this method on general LLMs?
Can anyone help resolve my confusion or share their insights?
The text was updated successfully, but these errors were encountered:
Hi, guys! I have a little question here:
From the principle of LLM-Pruner the method uses a general approach for selecting which weights to prune, theoretically making it applicable to all models. However, why does this code only support a limited range of models instead of being universally applicable? What makes it different when implementing this method on general LLMs?
Can anyone help resolve my confusion or share their insights?
The text was updated successfully, but these errors were encountered: