diff --git a/SimPEG/PropMaps.py b/SimPEG/PropMaps.py
index 527a6f7e..f30c0273 100644
--- a/SimPEG/PropMaps.py
+++ b/SimPEG/PropMaps.py
@@ -110,8 +110,6 @@ class Property(object):
             return getattr(self.propMap, '_%sMap'%prop.name, None)
         return property(fget=fget)
 
-
-
 class PropModel(object):
     def __init__(self, propMap, vector):
         self.propMap = propMap
@@ -189,6 +187,12 @@ class _PropMapMetaClass(type):
 
         return type(name.replace('PropMap', 'PropModel'), (PropModel, ), attrs)
 
+def fromPickle(name, properties, maps, slices):
+    attrs = dict()
+    for p in properties:
+        attrs[p] = Property(**properties[p])
+    PM = type(name, (PropMap,), attrs)
+    return PM(dict(maps=maps, slices=slices))
 
 class PropMap(object):
     __metaclass__ = _PropMapMetaClass
@@ -197,6 +201,7 @@ class PropMap(object):
         """
             PropMap takes a multi parameter model and maps it to the equivalent PropModel
         """
+
         if type(mappings) is dict:
             assert np.all([k in ['maps', 'slices'] for k in mappings]), 'Dict must only have properties "maps" and "slices"'
             self.setup(mappings['maps'], slices=mappings['slices'])
@@ -239,7 +244,11 @@ class PropMap(object):
             setattr(self, '%sMap'%name, mapping)
             setattr(self, '%sIndex'%name, slices.get(name, slice(nP, nP + mapping.nP)))
             nP += mapping.nP
-        self.nP = nP 
+
+        self._maps   = maps
+        self._slices = slices
+
+        self.nP = nP
 
     @property
     def defaultInvProp(self):
@@ -253,9 +262,27 @@ class PropMap(object):
             setattr(self, '%sMap'%name, None)
             setattr(self, '%sIndex'%name, None)
 
+        self._maps   = None
+        self._slices = None
+
     def __call__(self, vec):
         return self.PropModel(self, vec)
 
     def __contains__(self, val):
         activeMaps = [name for name in self._properties if getattr(self, '%sMap'%name) is not None]
         return val in activeMaps
+
+    def __reduce__(self):
+
+        import cPickle
+        props = dict()
+        for p in self._properties:
+            props[p] = self._properties[p].toJSON()
+        className = self.__class__.__name__
+
+
+        pickledMaps = []
+        for name, mapping in self._maps:
+            pickledMaps += [name, cPickle.dumps(mapping)]
+
+        return (fromPickle, (className, props, self._maps, self._slices))
diff --git a/SimPEG/Utils/codeutils.py b/SimPEG/Utils/codeutils.py
index bfd00889..0b5c7c54 100644
--- a/SimPEG/Utils/codeutils.py
+++ b/SimPEG/Utils/codeutils.py
@@ -65,8 +65,8 @@ def setKwargs(obj, ignore=[],  **kwargs):
         else:
             raise Exception('%s attr is not recognized' % attr)
 
-    hook(obj,hook, silent=True)
-    hook(obj,setKwargs, silent=True)
+    # hook(obj,hook, silent=True)
+    # hook(obj,setKwargs, silent=True)
 
 def printTitles(obj, printers, name='Print Titles', pad=''):
     titles = ''
diff --git a/tests/base/test_PropMaps.py b/tests/base/test_PropMaps.py
index ef22aaad..aad4e6da 100644
--- a/tests/base/test_PropMaps.py
+++ b/tests/base/test_PropMaps.py
@@ -1,6 +1,7 @@
 import unittest
 from SimPEG import *
 from scipy.constants import mu_0
+import cPickle
 
 
 class MyPropMap(Maps.PropMap):
@@ -28,9 +29,10 @@ class TestPropMaps(unittest.TestCase):
         PM3 = MyPropMap({'maps':[('sigma', expMap)], 'slices':{'sigma':slice(0,3)}})
 
         for PM in [PM1,PM2,PM3]:
+            PM = cPickle.loads( cPickle.dumps(PM) )
             assert PM.defaultInvProp == 'sigma'
             assert PM.sigmaMap is not None
-            assert PM.sigmaMap is expMap
+            assert PM.sigmaMap.__class__ is expMap.__class__
             assert PM.sigmaIndex == slice(0,3)
             assert getattr(PM, 'sigma', None) is None
             assert PM.muMap is None
@@ -52,7 +54,7 @@ class TestPropMaps(unittest.TestCase):
             assert m.muDeriv is None
 
             assert np.all(m.sigmaModel == np.r_[1.,2,3])
-            assert m.sigmaMap is expMap
+            assert m.sigmaMap.__class__ is expMap.__class__
             assert np.all(m.sigma == np.exp(np.r_[1.,2,3]))
             assert m.sigmaDeriv is not None