#8764: Add note about PYTHON_ENV_DIR in the Models getting started an…

…d put notes about ttnn jupyter tutorials only working on GS for now

docs/source/ttnn/tt_metal_models/get_started.rst

@@ -17,6 +17,10 @@ which you'll be working.
 
     source python_env/bin/activate
 
+.. note::
+   You can use the ``PYTHON_ENV_DIR`` environment variable with the provided
+   ``create_venv.sh`` script to control where the environment is created.
+
 Set ``PYTHONPATH`` to the root for running models. This is a common practice.
 
 ::

docs/source/ttnn/ttnn/get_started.rst

@@ -18,19 +18,7 @@ Install and build the project by following the instructions in the
 `installation guide
 <../ttnn/installing.html>`_.
 
-2. TT-NN Tutorial: Multi-Head Attention (Simple)
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Learn the basics of multi-head attention operations with TT-NN
-with a simple example: `TT-NN simple module <../../ttnn/ttnn/tutorials/ttnn_tutorials/003.html#Write-Multi-Head-Attention-using-ttnn>`_.
-
-3. TT-NN Tutorial: Multi-Head Attention (Optimized)
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Dive deeper into multi-head attention operations in TT-NN, optimizing
-performance: `optimizing performance <../../ttnn/ttnn/tutorials/ttnn_tutorials/003.html#Write-optimized-version-of-Multi-Head-Attention>`_.
-
-4. Explore our model demos
+2. Explore our model demos
 ^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 Get started with the Falcon 7B demo. Navigate to the `Falcon 7B demo folder
@@ -44,6 +32,24 @@ You can also check our demos for
 and
 `Llama2-70B (coming soon on our T3000 platforms) <https://github.com/tenstorrent/tt-metal/tree/main/models/demos/t3000/llama2_70b>`_.
 
+3. TT-NN Tutorial: Multi-Head Attention (Simple)
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. note::
+   This tutorial currently works on Grayskull only.
+
+Learn the basics of multi-head attention operations with TT-NN
+with a simple example: `TT-NN simple module <../../ttnn/ttnn/tutorials/ttnn_tutorials/003.html#Write-Multi-Head-Attention-using-ttnn>`_.
+
+4. TT-NN Tutorial: Multi-Head Attention (Optimized)
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. note::
+   This tutorial currently works on Grayskull only.
+
+Dive deeper into multi-head attention operations in TT-NN, optimizing
+performance: `optimizing performance <../../ttnn/ttnn/tutorials/ttnn_tutorials/003.html#Write-optimized-version-of-Multi-Head-Attention>`_.
+
 Where to go from here
 ^^^^^^^^^^^^^^^^^^^^^