diff --git a/README.md b/README.md
index 194930cb..9efab041 100644
--- a/README.md
+++ b/README.md
@@ -130,12 +130,15 @@ m.optimize()
 np.save('model_save.npy', m.param_array)
 # 2: loading a model
 # Model creation, without initialization:
-m = GPy.models(GPRegression(X,Y,initialize=False)
-m[:] = np.load('model_save.npy')
-m.initialize_parameter()
-print m
+m_load = GPy.models.GPRegression(X, Y, initialize=False)
+m_load.update_model(False) # do not call the underlying expensive algebra on load
+m_load.initialize_parameter() # Initialize the parameters (connect the parameters up)
+m_load[:] = np.load('model_save.npy') # Load the parameters
+m_load.update_model(True) # Call the algebra only once
+print(m_load)
 ```
 
+
 ## Running unit tests:
 
 Ensure nose is installed via pip:
diff --git a/setup.py b/setup.py
index 1cf2321d..43e70815 100644
--- a/setup.py
+++ b/setup.py
@@ -148,7 +148,7 @@ setup(name = 'GPy',
       include_package_data = True,
       py_modules = ['GPy.__init__'],
       test_suite = 'GPy.testing',
-      install_requires = ['numpy>=1.7', 'scipy>=0.16', 'six', 'paramz>=0.6.6'],
+      install_requires = ['numpy>=1.7', 'scipy>=0.16', 'six', 'paramz>=0.6.8'],
       extras_require = {'docs':['sphinx'],
                         'optional':['mpi4py',
                                     'ipython>=4.0.0',