diff --git a/pymc3/distributions/distribution.py b/pymc3/distributions/distribution.py
index 50b0ae5de9..78ebf41cae 100644
--- a/pymc3/distributions/distribution.py
+++ b/pymc3/distributions/distribution.py
@@ -174,8 +174,9 @@ def _str_repr(self, name=None, dist=None, formatting='plain'):
             return "{var_name} ~ {distr_name}({params})".format(var_name=name,
                 distr_name=dist._distr_name_for_repr(), params=param_string)
 
-    def __str__(self, **kwargs):
-        return self._str_repr(formatting="plain", **kwargs)
+    # TODO: Enable this one we figure out pickle
+    # def __str__(self, **kwargs):
+    #     return self._str_repr(formatting="plain", **kwargs)
 
     def _repr_latex_(self, **kwargs):
         """Magic method name for IPython to use for LaTeX formatting."""
diff --git a/pymc3/model.py b/pymc3/model.py
index f7a504d78e..85c549ba04 100644
--- a/pymc3/model.py
+++ b/pymc3/model.py
@@ -80,8 +80,9 @@ def _str_repr(self, name=None, dist=None, formatting="plain"):
     def _repr_latex_(self, **kwargs):
         return self._str_repr(formatting="latex", **kwargs)
 
-    def __str__(self, **kwargs):
-        return self._str_repr(formatting="plain", **kwargs)
+    # TODO: Enable this one we figure out pickle
+    # def __str__(self, **kwargs):
+    #     return self._str_repr(formatting="plain", **kwargs)
 
     __latex__ = _repr_latex_
 
@@ -1423,8 +1424,9 @@ def _str_repr(self, formatting="plain", **kwargs):
                 for n, d in zip(names, distrs)]
             return "\n".join(rv_reprs)
 
-    def __str__(self, **kwargs):
-        return self._str_repr(formatting="plain", **kwargs)
+    # TODO: Enable this one we figure out pickle
+    # def __str__(self, **kwargs):
+    #     return self._str_repr(formatting="plain", **kwargs)
 
     def _repr_latex_(self, **kwargs):
         return self._str_repr(formatting="latex", **kwargs)
@@ -1934,10 +1936,12 @@ def Deterministic(name, var, model=None, dims=None):
 
     # simply assigning var.__str__ is not enough, since str() will default to the class-
     # defined __str__ anyway; see https://stackoverflow.com/a/5918210/1692028
-    old_type = type(var)
-    new_type = type(old_type.__name__ + '_pymc3_Deterministic', (old_type,),
-        {'__str__': functools.partial(_repr_deterministic_rv, var, formatting='plain')})
-    var.__class__ = new_type
+
+    # TODO: Fix enable this once we figure out pickle
+    # old_type = type(var)
+    # new_type = type(old_type.__name__ + '_pymc3_Deterministic', (old_type,),
+    #     {'__str__': functools.partial(_repr_deterministic_rv, var, formatting='plain')})
+    # var.__class__ = new_type
 
     return var
 
diff --git a/pymc3/tests/test_distributions.py b/pymc3/tests/test_distributions.py
index c997081b04..aff0e1650b 100644
--- a/pymc3/tests/test_distributions.py
+++ b/pymc3/tests/test_distributions.py
@@ -1705,6 +1705,8 @@ def test_bound():
         BoundPoissonPositionalArgs = Bound(Poisson, upper=6)("x", 2.0)
 
 
+@pytest.mark.xfail(reason=("Currently failing due to pm.Deterministic issue. "
+                   "See https://github.com/pymc-devs/pymc3/pull/4117 "))
 class TestStrAndLatexRepr:
     def setup_class(self):
         # True parameter values
diff --git a/pymc3/tests/test_model.py b/pymc3/tests/test_model.py
index 436ce7568e..e9de589cdc 100644
--- a/pymc3/tests/test_model.py
+++ b/pymc3/tests/test_model.py
@@ -16,6 +16,7 @@
 import theano
 import theano.tensor as tt
 import numpy as np
+import pickle
 import pandas as pd
 import numpy.testing as npt
 import unittest
@@ -421,3 +422,27 @@ def test_tempered_logp_dlogp():
 
     npt.assert_allclose(func_nograd(x), func(x)[0])
     npt.assert_allclose(func_temp_nograd(x), func_temp(x)[0])
+
+
+def test_model_pickle(tmpdir):
+    """Tests that PyMC3 models are pickleable"""
+    with pm.Model() as model:
+        x = pm.Normal('x')
+        pm.Normal('y', observed=1)
+
+    file_path = tmpdir.join("model.p")
+    with open(file_path, 'wb') as buff:
+        pickle.dump(model, buff)
+
+
+def test_model_pickle_deterministic(tmpdir):
+    """Tests that PyMC3 models with deterministics are pickleable"""
+    with pm.Model() as model:
+        x = pm.Normal('x')
+        z = pm.Normal("z")
+        pm.Deterministic("w", x/z)
+        pm.Normal('y', observed=1)
+
+    file_path = tmpdir.join("model.p")
+    with open(file_path, 'wb') as buff:
+        pickle.dump(model, buff)
diff --git a/pymc3/util.py b/pymc3/util.py
index 4f3cdd88cb..5a6d38a8b5 100644
--- a/pymc3/util.py
+++ b/pymc3/util.py
@@ -20,7 +20,8 @@
 import arviz
 from numpy import asscalar, ndarray
 
-from theano.tensor import TensorVariable
+# TODO: Reimplement after pickle fix
+# from theano.tensor import TensorVariable
 
 
 LATEX_ESCAPE_RE = re.compile(r"(%|_|\$|#|&)", re.MULTILINE)
@@ -161,10 +162,10 @@ def get_var_name(var):
     string representations to our pymc3.PyMC3Variables, yet we want to use the
     plain name as e.g. keys in dicts.
     """
-    if isinstance(var, TensorVariable):
-        return super(TensorVariable, var).__str__()
-    else:
-        return str(var)
+    # if isinstance(var, TensorVariable):
+    #     return super(TensorVariable, var).__str__()
+    # else:
+    return str(var)
 
 
 def update_start_vals(a, b, model):