diff --git a/BUILDING.md b/BUILDING.md
index b06d46eb..2b9dee2b 100644
--- a/BUILDING.md
+++ b/BUILDING.md
@@ -22,7 +22,6 @@ You can verify whether you have version `>=2.6.1` installed using the command:
     $ protoc --version
     libprotoc 3.4.0
 
-
 #### nGraph
 
 The other requirement is of course nGraph and nGraph's Python bindings.
@@ -33,25 +32,36 @@ You can follow these instructions to build an nGraph Python wheel containing bot
 Prepare System:
 
     # apt update
-    # apt install python3 python3-pip python3-dev
-    # apt install build-essential cmake curl clang-3.9 git zlib1g zlib1g-dev libtinfo-dev
+    # apt install python3 python3-pip python3-dev python-virtualenv
+    # apt install build-essential cmake curl clang-3.9 git zlib1g zlib1g-dev libtinfo-dev unzip autoconf automake libtool
 
-Clone nGraph's `v0.10.0` tag, build and install it into `$HOME/ngraph_dist`:
+Clone nGraph's `v0.14.0` tag, build and install it into `$HOME/ngraph_dist`:
 
-    $ git clone -b 'v0.10.0' --single-branch --depth 1 https://github.com/NervanaSystems/ngraph.git
+    $ cd # Change directory to where you would like to clone nGraph sources
+    $ git clone -b 'v0.14.0' --single-branch --depth 1 https://github.com/NervanaSystems/ngraph.git
     $ mkdir ngraph/build
     $ cd ngraph/build
-    $ cmake ../ -DNGRAPH_USE_PREBUILT_LLVM=TRUE -DCMAKE_INSTALL_PREFIX=$HOME/ngraph_dist -DNGRAPH_ONNX_IMPORT_ENABLE=TRUE
+    $ cmake ../ -DCMAKE_INSTALL_PREFIX=$HOME/ngraph_dist -DNGRAPH_ONNX_IMPORT_ENABLE=TRUE -DNGRAPH_USE_PREBUILT_LLVM=TRUE 
     $ make
     $ make install
 
+Prepare a Python virtual environment for nGraph (recommended):
+
+    $ mkdir -p ~/.virtualenvs && cd ~/.virtualenvs
+    $ virtualenv -p $(which python3) nGraph
+    $ source nGraph/bin/activate
+    (nGraph) $ 
+
 Build Python package (Binary wheel) for nGraph:
 
-    $ cd ngraph/python
-    $ git clone --recursive -b allow-nonconstructible-holders https://github.com/jagerman/pybind11.git
-    $ export PYBIND_HEADERS_PATH=$PWD/pybind11
-    $ export NGRAPH_CPP_BUILD_PATH=$HOME/ngraph_dist
-    $ python3 setup.py bdist_wheel
+    (nGraph) $ cd # Change directory to where you have cloned nGraph sources
+    (nGraph) $ cd ngraph/python
+    (nGraph) $ git clone --recursive https://github.com/jagerman/pybind11.git
+    (nGraph) $ export PYBIND_HEADERS_PATH=$PWD/pybind11
+    (nGraph) $ export NGRAPH_CPP_BUILD_PATH=$HOME/ngraph_dist
+    (nGraph) $ export NGRAPH_ONNX_IMPORT_ENABLE=TRUE
+    (nGraph) $ pip install numpy
+    (nGraph) $ python setup.py bdist_wheel
 
 For additional information how to build nGraph Python bindings see:
 
@@ -61,7 +71,7 @@ Once the Python binary wheel file (`ngraph-*.whl`) is prepared you can install i
 
 For example:
 
-    (your_venv) $ pip install -U dist/ngraph-0.10.0-cp35-cp35m-linux_x86_64.whl
+    (nGraph) $ pip install -U dist/ngraph_core-0.0.0.dev0-cp35-cp35m-linux_x86_64.whl
 
 You can check that nGraph is properly installed in your Python shell:
 
@@ -71,12 +81,27 @@ You can check that nGraph is properly installed in your Python shell:
 <Abs: 'Abs_1' ([2, 3])>
 ```
 
-If you don't see any errors, nGraph should be installed correctly.
+Additionally check that nGraph and nGraph's Python wheel were both build with the `NGRAPH_ONNX_IMPORT_ENABLE` option:
 
+```python
+from ngraph.impl import onnx_import
+```
+
+If you don't see any errors, nGraph should be installed correctly.
 
 ### Installing ngraph-onnx
 
-You can install ngraph-onnx using pip:
+You can install ngraph-onnx using the following commands. Clone `ngraph-onnx` sources to the same directory where you cloned `ngraph` sources.
+
+    (nGraph) $ cd # Change directory to where you have cloned nGraph sources
+    (nGraph) $ git clone -b 'v0.14.0' --single-branch --depth 1 https://github.com/NervanaSystems/ngraph-onnx.git
+    (nGraph) $ cd ngraph-onnx
+    (nGraph) $ pip install -r requirements.txt
+    (nGraph) $ pip install -r requirements_test.txt
+    (nGraph) $ pip install -e .
 
-     (your_venv) $ pip install git+https://github.com/NervanaSystems/ngraph-onnx/@v0.10.0
+#### Running tests
 
+    (nGraph) $ pytest tests/ --backend=CPU -v
+    (nGraph) $ pytest tests_core/ --backend=CPU -v
+    (nGraph) $ NGRAPH_BACKEND=CPU TOX_INSTALL_NGRAPH_FROM=../ngraph/python tox
diff --git a/setup.py b/setup.py
index 5532a598..1cd5853f 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@
 SOURCES_ROOT = path.abspath(path.dirname(__file__))
 
 setup(name='ngraph-onnx',
-      version='0.10.0',
+      version='0.14.0',
       description='nGraph Backend for ONNX',
       long_description=open(path.join(SOURCES_ROOT, 'README.md')).read(),
       long_description_content_type='text/markdown',
diff --git a/tests_core/test_backend.py b/tests_core/test_backend.py
index 594e998c..1fd2abc0 100644
--- a/tests_core/test_backend.py
+++ b/tests_core/test_backend.py
@@ -35,6 +35,17 @@
 # import all test cases at global scope to make them visible to python.unittest
 backend_test = onnx.backend.test.BackendTest(NgraphBackend, __name__)
 
+# Fixed in nGraph after 0.14.0
+backend_test.exclude('test_acosh')
+backend_test.exclude('test_acosh_example')
+backend_test.exclude('test_asinh')
+backend_test.exclude('test_asinh_example')
+backend_test.exclude('test_atanh')
+backend_test.exclude('test_atanh_example')
+backend_test.exclude('test_sign')
+backend_test.exclude('test_where_example')
+backend_test.exclude('test_sign_model')
+
 # MaxPool Indices -> NGRAPH-3131
 backend_test.exclude('test_maxpool_with_argmax')