diff --git a/test/test_randomness.py b/test/test_randomness.py
index 47b8d02cba..aa742d36d9 100644
--- a/test/test_randomness.py
+++ b/test/test_randomness.py
@@ -121,7 +121,11 @@ class TestRandomness(unittest.TestCase):
   def test_randint(self):
     self.assertFalse(normal_test(Tensor.randint))
     self.assertTrue(equal_distribution(partial(Tensor.randint, low=-2, high=5), numpy_func=lambda x: np.random.randint(low=-2, high=5, size=x)))
-    self.assertTrue(Tensor.randint(1,device="CLANG").device=="CLANG")
+    self.assertTrue(Tensor.randint(1, device="CLANG").device=="CLANG")
+    # check types of args
+    with self.assertRaises(TypeError): Tensor.randint((3, 4), low=0.1, high=3)
+    with self.assertRaises(TypeError): Tensor.randint((3, 4), low=0, high=3.5)
+    with self.assertRaises(TypeError): Tensor.randint((3, 4), low=0, high=3, dtype=dtypes.float32)
 
   def test_normal(self):
     self.assertTrue(normal_test(Tensor.normal))
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 8c876cd862..703c748055 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -557,7 +557,9 @@ class Tensor:
     print(Tensor.randint(2, 3, low=5, high=10).numpy())
     ```
     """
-    assert dtypes.is_int(dtype := kwargs.pop("dtype", dtypes.int32)), f"Unsupported dtype {dtype} for randint"
+    if not isinstance(low, int) or not isinstance(high, int): raise TypeError(f"{low=} and {high=} must be integers")
+    dtype = kwargs.pop("dtype", dtypes.int32)
+    if not dtypes.is_int(dtype): raise TypeError(f"{dtype=} must be int")
     return Tensor.uniform(*shape, low=low, high=high, dtype=dtype, **kwargs)
 
   @staticmethod