diff --git a/torch_npu/meta/_meta_registrations.py b/torch_npu/meta/_meta_registrations.py
index 8f8caac40a753364a1e890c25f045921c38309bf..1488db4f3dfa0266f3ec3c641dc8c3e5a44d7966 100644
--- a/torch_npu/meta/_meta_registrations.py
+++ b/torch_npu/meta/_meta_registrations.py
@@ -635,9 +635,11 @@ 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.PARAM))
         if x.size(dim_num - 1) % 8:
-            raise RuntimeError("If dst_dtype is quint4x2, last dim must be divisible by 8" +
-                               ops_error(ErrCode.NOT_SUPPORT))
+            raise RuntimeError("If dst_dtype is quint4x2, x last dim must be divisible by 8" +
+                               ops_error(ErrCode.PARAM))
         output_shape = []
         for dim in range(dim_num - 1):
             output_shape.append(x.size(dim))