diff --git a/brainunit/_base.py b/brainunit/_base.py
index d2d6a97..24d0ffa 100644
--- a/brainunit/_base.py
+++ b/brainunit/_base.py
@@ -1988,10 +1988,19 @@ def take(
   ) -> 'Quantity':
     """Return an array formed from the elements of a at the given indices."""
     if isinstance(fill_value, Quantity):
+      fail_for_dimension_mismatch(self, fill_value, "take")
       fill_value = fill_value.value
-    return Quantity(jnp.take(self.value, indices=indices, axis=axis, mode=mode,
-                             unique_indices=unique_indices, indices_are_sorted=indices_are_sorted,
-                             fill_value=fill_value), dim=self.dim)
+    elif fill_value is not None:
+      if not self.is_unitless:
+        raise TypeError(f"fill_value must be a Quantity when the unit {self.unit}. But got {fill_value}")
+    return Quantity(
+      jnp.take(self.value,
+               indices=indices, axis=axis, mode=mode,
+               unique_indices=unique_indices,
+               indices_are_sorted=indices_are_sorted,
+               fill_value=fill_value),
+      dim=self.dim
+    )
 
   def tolist(self):
     """Return the array as an ``a.ndim``-levels deep nested list of Python scalars.
@@ -2251,9 +2260,11 @@ def view(self, *args, dtype=None) -> 'Quantity':
   # NumPy support
   # ------------------
 
-  def to_numpy(self,
-               dtype: Optional[jax.typing.DTypeLike] = None,
-               unit: Optional['Unit'] = None) -> np.ndarray:
+  def to_numpy(
+      self,
+      unit: Optional['Unit'] = None,
+      dtype: Optional[jax.typing.DTypeLike] = None,
+  ) -> np.ndarray:
     """
     Remove the unit and convert to ``numpy.ndarray``.
 
@@ -2265,14 +2276,19 @@ def to_numpy(self,
       The numpy.ndarray.
     """
     if unit is None:
+      assert self.dim == DIMENSIONLESS, (f"only dimensionless quantities can be converted to "
+                                         f"NumPy arrays when 'unit' is not provided. But got {self}")
       return np.asarray(self.value, dtype=dtype)
     else:
+      fail_for_dimension_mismatch(self, unit, "to_numpy")
       assert isinstance(unit, Unit), f"unit must be a Unit object, but got {type(unit)}"
       return np.asarray(self / unit, dtype=dtype)
 
-  def to_jax(self,
-             dtype: Optional[jax.typing.DTypeLike] = None,
-             unit: Optional['Unit'] = None) -> jax.Array:
+  def to_jax(
+      self,
+      unit: Optional['Unit'] = None,
+      dtype: Optional[jax.typing.DTypeLike] = None,
+  ) -> jax.Array:
     """
     Remove the unit and convert to ``jax.Array``.
 
@@ -2284,8 +2300,11 @@ def to_jax(self,
       The jax.Array.
     """
     if unit is None:
+      assert self.dim == DIMENSIONLESS, (f"only dimensionless quantities can be converted to "
+                                         f"JAX arrays when 'unit' is not provided. But got {self}")
       return jnp.asarray(self.value, dtype=dtype)
     else:
+      fail_for_dimension_mismatch(self, unit, "to_jax")
       assert isinstance(unit, Unit), f"unit must be a Unit object, but got {type(unit)}"
       return jnp.asarray(self / unit, dtype=dtype)
 
@@ -2301,7 +2320,7 @@ def __array__(self, dtype: Optional[jax.typing.DTypeLike] = None) -> np.ndarray:
 
   def __float__(self):
     if self.dim == DIMENSIONLESS and self.ndim == 0:
-      return self.value.__float__()
+      return float(self.value)
     else:
       raise TypeError(
         "only dimensionless scalar quantities can be "
@@ -2310,7 +2329,7 @@ def __float__(self):
 
   def __int__(self):
     if self.dim == DIMENSIONLESS and self.ndim == 0:
-      return self.value.__int__()
+      return int(self.value)
     else:
       raise TypeError(
         "only dimensionless scalar quantities can be "