diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 328fcc038e..6a94d49951 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -1261,7 +1261,7 @@ class Tensor:
 
   # ***** reduce ops *****
 
-  def _reduce(self, fxn:Type[Function], axis:Optional[Union[int, Tuple[int, ...]]]=None, keepdim=False) -> Tensor:
+  def _reduce(self, fxn:Type[Function], axis:Optional[Union[int, Sequence[int]]]=None, keepdim=False) -> Tensor:
     if self.ndim == 0:
       if axis is not None and axis not in [-1, 0]: raise IndexError(f"{axis=} out of range of [-1, 0]")
       axis = None
@@ -1270,7 +1270,7 @@ class Tensor:
     ret = fxn.apply(self, axis=axis_)
     return ret if keepdim else ret.reshape(tuple(s for i,s in enumerate(self.shape) if i not in axis_))
 
-  def sum(self, axis=None, keepdim=False, acc_dtype:Optional[DType]=None):
+  def sum(self, axis:Optional[Union[int, Sequence[int]]]=None, keepdim=False, acc_dtype:Optional[DType]=None):
     """
     Sums the elements of the tensor along the specified axis or axes.
 
@@ -1297,7 +1297,7 @@ class Tensor:
     ret = self.cast(acc_dtype or sum_acc_dtype(self.dtype))._reduce(F.Sum, axis, keepdim)
     return ret.cast(self.dtype) if acc_dtype is None and self.dtype in (dtypes.float16, dtypes.bfloat16) else ret
 
-  def max(self, axis=None, keepdim=False):
+  def max(self, axis:Optional[Union[int, Sequence[int]]]=None, keepdim=False):
     """
     Returns the maximum value of the tensor along the specified axis or axes.
 
@@ -1320,7 +1320,7 @@ class Tensor:
     """
     return self._reduce(F.Max, axis, keepdim)
 
-  def min(self, axis=None, keepdim=False):
+  def min(self, axis:Optional[Union[int, Sequence[int]]]=None, keepdim=False):
     """
     Returns the minimum value of the tensor along the specified axis or axes.
 
@@ -1343,7 +1343,7 @@ class Tensor:
     """
     return -((-self).max(axis=axis, keepdim=keepdim))
 
-  def mean(self, axis=None, keepdim=False):
+  def mean(self, axis:Optional[Union[int, Sequence[int]]]=None, keepdim=False):
     """
     Returns the mean value of the tensor along the specified axis or axes.
 
@@ -1369,7 +1369,7 @@ class Tensor:
     numerator = self.cast(sum_acc_dtype(self.dtype)).sum(axis=axis, keepdim=keepdim)
     return numerator.div(prod([si for si, so in zip(self.shape, self.sum(axis=axis, keepdim=True).shape) if si != so])).cast(output_dtype)
 
-  def var(self, axis=None, keepdim=False, correction=1):
+  def var(self, axis:Optional[Union[int, Sequence[int]]]=None, keepdim=False, correction=1):
     """
     Returns the variance of the tensor along the specified axis or axes.
 
@@ -1395,7 +1395,7 @@ class Tensor:
     n = prod([si for si, so in zip(self.shape, squares.sum(axis=axis, keepdim=True).shape) if si != so])
     return squares.sum(axis=axis, keepdim=keepdim).div(max(0, n-correction))
 
-  def std(self, axis=None, keepdim=False, correction=1):
+  def std(self, axis:Optional[Union[int, Sequence[int]]]=None, keepdim=False, correction=1):
     """
     Returns the standard deviation of the tensor along the specified axis or axes.