Comments (4)
噢!是我的疏忽,llama 的 attention_mask 在进入到 transformer layer 之前需要被 reshape, 类似于 opt。我一会就把这个修复掉,如果你想快速体验的话,可以在 auto_gptq.modeling.llama 里覆写以下函数:
@staticmethod def _resize_attention_mask(attention_mask): attention_mask = [attention_mask.unsqueeze(1) for attention_mask in attention_mask] return attention_mask然后从源码重新安装一下,不出意外应该就没问题了。
还有一些其他的问题,我会统一进行修复
from autogptq.
噢!是我的疏忽,llama 的 attention_mask 在进入到 transformer layer 之前需要被 reshape, 类似于 opt。我一会就把这个修复掉,如果你想快速体验的话,可以在 auto_gptq.modeling.llama 里覆写以下函数:
@staticmethod
def _resize_attention_mask(attention_mask):
attention_mask = [attention_mask.unsqueeze(1) for attention_mask in attention_mask]
return attention_mask
然后从源码重新安装一下,不出意外应该就没问题了。
from autogptq.
好的!多谢🙏
from autogptq.
好的!多谢🙏
from autogptq.
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from autogptq.