pytorch

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gemma-3-27b-it-AWQ-INT4

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pytorch 285

• "torch._utils._rebuild_tensor_v2",
• "torch._tensor._rebuild_from_type_v2",
• "torchao.quantization.Int4Tensor",
• "torch.BFloat16Storage",
• "torch.serialization._get_layout",
• "torch.device",
• "torch.CharStorage",
• "collections.OrderedDict",
• "torch.bfloat16",
• "torch._utils._rebuild_wrapper_subclass"

How to fix it?

• "torch.CharStorage",
• "collections.OrderedDict",
• "torch.bfloat16",
• "torchao.quantization.Int4Tensor",
• "torch._utils._rebuild_tensor_v2",
• "torch.serialization._get_layout",
• "torch._tensor._rebuild_from_type_v2",
• "torch.BFloat16Storage",
• "torch.device",
• "torch._utils._rebuild_wrapper_subclass"

How to fix it?

• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.BFloat16Storage",
• "torch.serialization._get_layout",
• "torch._tensor._rebuild_from_type_v2",
• "torchao.quantization.Int4Tensor",
• "torch.device",
• "torch.bfloat16",
• "torch._utils._rebuild_wrapper_subclass",
• "torch.CharStorage"

How to fix it?

• "torch.BFloat16Storage",
• "torch._tensor._rebuild_from_type_v2",
• "torch.device",
• "torch._utils._rebuild_tensor_v2",
• "torch.CharStorage",
• "torchao.quantization.Int4Tensor",
• "collections.OrderedDict",
• "torch.bfloat16",
• "torch.serialization._get_layout",
• "torch._utils._rebuild_wrapper_subclass"

How to fix it?