diff --git a/benchmarks/llm/recipes/full_finetune_distributed.py b/benchmarks/llm/recipes/full_finetune_distributed.py
index 0be37a9e..73ac9ca4 100755
--- a/benchmarks/llm/recipes/full_finetune_distributed.py
+++ b/benchmarks/llm/recipes/full_finetune_distributed.py
@@ -1,3 +1,15 @@
+#!/usr/bin/env python3
+
+#  As of November 2024, the development of torchrun is very rapid.
+# This is the recipe based on torchrun recipe git commit e137afe (post release 0.3.1)
+# https://github.com/pytorch/torchtune/blob/7bfb3336446f0d874ab5d4595249839b735b7076/recipes/lora_finetune_distributed.py
+
+# Torchtune 0.2.1 recipe with device instrumenation (c) Mila
+# https://github.com/mila-iqia/milabench/blob/a60a3aae21e87e46bcce403620a3f56c12878554/benchmarks/llm/recipes/full_finetune_distributed.py
+
+# The instrumentation edits (c) AMD 
+
+
 # Copyright (c) Meta Platforms, Inc. and affiliates.
 # All rights reserved.
 #
diff --git a/config/base.yaml b/config/base.yaml
index 9e470fa3..f61397b3 100644
--- a/config/base.yaml
+++ b/config/base.yaml
@@ -652,7 +652,7 @@ llm-full-mp-gpus:
 
   argv:
     #"{milabench_code}/recipes/full_finetune_distributed.py": true
-    tuneworkaroundrecipes.full_finetune_distributed: true
+    tuneworkaroundrecipes/full_finetune_distributed.py: true
     --config: "{milabench_code}/configs/llama3_70B_full.yaml"
     epochs=1: true
     output_dir={milabench_extra}/output: true