diff --git a/intermediate_source/monarch_distributed_tutorial.rst b/intermediate_source/monarch_distributed_tutorial.rst
index 33909d2baa..056cd2edd0 100644
--- a/intermediate_source/monarch_distributed_tutorial.rst
+++ b/intermediate_source/monarch_distributed_tutorial.rst
@@ -43,7 +43,7 @@ We rely on a nightly build of Titan for this tutorial, so please ensure that oth
    `Install script <https://github.com/meta-pytorch/monarch/blob/main/scripts/install_nightly.py>`_
 2. **TorchTitan nightly installed:**
    `TorchTitan install instructions <https://github.com/pytorch/torchtitan?tab=readme-ov-file#nightly-builds>`_
-3. **A valid Titan model config** and **tokenizer** in your working directory (e.g., ``debug_model.toml`` from `TorchTitan configs <https://github.com/pytorch/torchtitan/blob/main/torchtitan/models/llama3/train_configs/debug_model.toml>`_).
+3. **A valid Titan model config** and **tokenizer** in your working directory
 4. **SLURM cluster access:**
 
    - Sufficient permissions to reserve nodes and launch jobs.
@@ -446,4 +446,4 @@ TorchTitan for scalable distributed training.
 **Further Reading**
 
 - Monarch also integrates with TorchFT to provide per-step fault-tolerance across replicated workers. You can find a comprehensive `proof of concept <https://github.com/meta-pytorch/torchft/tree/main/examples/monarch>`_ of this integration in the TorchFT repo.
-- For an interactive notebook covering similar topics to this tutorial, please consult `this Monarch example <https://github.com/meta-pytorch/monarch/blob/main/examples/slurm_titan.ipynb>`_.
\ No newline at end of file
+- For an interactive notebook covering similar topics to this tutorial, please consult `this Monarch example <https://github.com/meta-pytorch/monarch/blob/main/examples/slurm_titan.ipynb>`_.