diff --git a/docs/source/examples/configs.rst b/docs/source/examples/configs.rst
index dbf6bb715f..648d113950 100644
--- a/docs/source/examples/configs.rst
+++ b/docs/source/examples/configs.rst
@@ -161,7 +161,7 @@ will list out all the locations where an error was found.
 
 .. code-block:: bash
 
-  tune validate --config recipes/configs/alpaca_llama2_full_finetune_single_device.yaml batch_size=4
+  tune validate --config recipes/configs/full_finetune_single_device.yaml batch_size=4
 
 Best practices for writing configs
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
diff --git a/docs/source/examples/lora_finetune.rst b/docs/source/examples/lora_finetune.rst
index 007d25d5fe..e3393b6e99 100644
--- a/docs/source/examples/lora_finetune.rst
+++ b/docs/source/examples/lora_finetune.rst
@@ -288,7 +288,7 @@ Let's run this experiment. We can also increase alpha (in general it is good pra
 
 .. code-block:: bash
 
-    tune --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config _ora_finetune_distributed \
+    tune --nnodes 1 --nproc_per_node 2 lora_finetune_distributed --config lora_finetune_distributed \
     lora_attn_modules='[q_proj, k_proj, v_proj, output_proj]' \
     lora_rank=32 lora_alpha=64 output_dir=./lora_experiment_1
 
diff --git a/recipes/README.md b/recipes/README.md
index 2db8109897..1980421898 100644
--- a/recipes/README.md
+++ b/recipes/README.md
@@ -6,7 +6,7 @@
 
 Recipes are the primary entry points for TorchTune users. These can be thought of as end-to-end pipelines for training and optionally evaluating LLMs. Each recipe consists of three components:
 
-- **Configurable parameters**, specified through yaml configs [example](https://github.com/pytorch/torchtune/blob/main/recipes/configs/full_finetune_distributed.yaml), command-line overrides and dataclasses
+- **Configurable parameters**, specified through yaml configs [example](https://github.com/pytorch/torchtune/blob/main/recipes/configs/full_finetune_distributed.yaml) and command-line overrides
 - **Recipe class**, core logic needed for training, exposed to users through a set of APIs [interface](https://github.com/pytorch/torchtune/blob/main/recipes/interfaces.py)
 - **Recipe script**, puts everything together including parsing and validating configs, setting up the environment, and correctly using the recipe class
 
diff --git a/recipes/configs/generate.yaml b/recipes/configs/alpaca_generate.yaml
similarity index 100%
rename from recipes/configs/generate.yaml
rename to recipes/configs/alpaca_generate.yaml