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Joe Cummings · Joe Cummings · commit a3aaeb46dae5 · 2025-01-29T11:26:47.000-05:00
diff --git a/docs/source/tutorials/e2e_flow.rst b/docs/source/tutorials/e2e_flow.rst
@@ -359,6 +359,8 @@ For Llama models, you can run generation directly in torchao on the quantized mo
 discussed in `this readme <https://github.com/pytorch/ao/tree/main/torchao/_models/llama>`_. This way you can compare your own results
 to those in the previously-linked table.
 
+.. _use_model_in_wild:
+
 Use your model in the wild
 --------------------------
 
diff --git a/docs/source/tutorials/multinode.rst b/docs/source/tutorials/multinode.rst
@@ -83,7 +83,7 @@ And the output of `squeue <https://slurm.schedmd.com/squeue.html>`_ should show
     JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)
     1     train         torchtun slurm R       0:03      2 slurm-worker-[1-2]
 
-Once training has completed, we can follow the instructions [here] in order to upload our beautiful new model to the Hugging Face Hub!
+Once training has completed, we can follow the :ref:`instructions here<use_model_in_wild>` in order to upload our beautiful new model to the Hugging Face Hub!
 
 Future development
 ------------------
