diff --git a/CHANGES.rst b/CHANGES.rst
new file mode 100644
index 0000000..7f69aa2
--- /dev/null
+++ b/CHANGES.rst
@@ -0,0 +1,4 @@
+0.5 (unreleased)
+================
+
+- initial release
diff --git a/docs/dust_extinction/extinguish.rst b/docs/dust_extinction/extinguish.rst
index dd72d87..0cea4f5 100644
--- a/docs/dust_extinction/extinguish.rst
+++ b/docs/dust_extinction/extinguish.rst
@@ -7,8 +7,9 @@ factor to multiple (extinguish) or divide (unextinguish) a spectrum by
 to add or remove the effects of dust, respectively.  
 
 Extinguish is also often called reddening.  Extinguishing a spectrum often
-reddens the flux, but not always (e.g, on the short wavelength side of the 
-2175 A bump.  So extinguish is the more generic term.
+reddens the flux, but sometimes 'bluens' the flux
+(e.g, on the short wavelength side of the 2175 A bump).
+So extinguish is the more generic term.
 
 Example: Extinguish a Blackbody
 ===============================
diff --git a/docs/dust_extinction/model_flavors.rst b/docs/dust_extinction/model_flavors.rst
index 281321f..18b0d6c 100644
--- a/docs/dust_extinction/model_flavors.rst
+++ b/docs/dust_extinction/model_flavors.rst
@@ -10,6 +10,8 @@ Average models
 
    These models provide averages from the literature with the ability to
    interpolate between the observed data points.
+   For the Milky Way, one of the R(V) dependent models  with R(V) = 3.1
+   (see next section) are often used for the Milky Way 'average'.
    Models are provided for the Magellanic Clouds from Gordon et al. (2003).
    Models for the Milky Way still to be added (both UV/optical/NIR and IR).
 
@@ -19,7 +21,8 @@ Average models
    import matplotlib.pyplot as plt
    import astropy.units as u
    
-   from dust_extinction.dust_extinction import (G03_SMCBar,
+   from dust_extinction.dust_extinction import (F99,
+                                                G03_SMCBar,
                                                 G03_LMCAvg,
 					        G03_LMC2)
       
@@ -27,7 +30,10 @@ Average models
       
    # generate the curves and plot them
    x = np.arange(0.3,10.0,0.1)/u.micron
-      
+
+   ext_model = F99()
+   ax.plot(x,ext_model(x),label='MW Average (F99 w/ $R(V)=3.1$)')
+   
    ext_model = G03_SMCBar()
    ax.plot(x,ext_model(x),label='G03 SMCBar')
 
diff --git a/setup.cfg b/setup.cfg
index 692a49a..d3bafe2 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -48,7 +48,7 @@ edit_on_github = False
 github_project = astropy/astropy
 install_requires = astropy scipy
 # version should be PEP440 compatible (http://www.python.org/dev/peps/pep-0440)
-version = 0.1.dev
+version = 0.5.dev
 
 [entry_points]
 astropy-package-template-example = packagename.example_mod:main