diff --git a/torch_npu/meta/_meta_registrations.py b/torch_npu/meta/_meta_registrations.py
index 4ef81b68ebcd7b7981fb84ce90a1a3c558f04d9f..c37befc22550b8378d908af8d72f8f5927f89a76 100644
--- a/torch_npu/meta/_meta_registrations.py
+++ b/torch_npu/meta/_meta_registrations.py
@@ -636,8 +636,10 @@ def npu_group_quant_meta(x, scale, group_index, *, offset=None, dst_dtype=None):
         return torch.empty_like(x, dtype=torch.int8)
     elif dst_dtype == torch.quint4x2:
         dim_num = x.dim()
+        if dim_num == 0:
+            raise RuntimeError("Input x can't be scalar" + ops_error(ErrCode.NOT_SUPPORT))
         if x.size(dim_num - 1) % 8:
-            raise RuntimeError("If dst_dtype is quint4x2, last dim must be divisible by 8" +
+            raise RuntimeError("If dst_dtype is quint4x2, x last dim must be divisible by 8" +
                                ops_error(ErrCode.NOT_SUPPORT))
         output_shape = []
         for dim in range(dim_num - 1):