diff --git a/examples/mistral/Mistral-7b-example/README.md b/examples/mistral/Mistral-7b-example/README.md
index 1d5e03f3d4..2d5ac87a17 100644
--- a/examples/mistral/Mistral-7b-example/README.md
+++ b/examples/mistral/Mistral-7b-example/README.md
@@ -10,6 +10,3 @@ Hardware Utilized: For reference, the fine-tuning in this guide was performed us
 **Uploading to HuggingFace 🤗:**
 To upload your fine-tuned model to Hugging Face, include the following files:
 ![Screenshot 2024-01-19 213932](https://github.com/OpenAccess-AI-Collective/axolotl/assets/138583191/d660eb84-2d76-46a1-9846-cf0aeb3006d9)
-
-
-By Tilemachos Chatzipapas t.chatzipapas@gmail.com
diff --git a/examples/mistral/Mistral-7b-example/config.yml b/examples/mistral/Mistral-7b-example/config.yml
index b103b447e8..84be18d15e 100644
--- a/examples/mistral/Mistral-7b-example/config.yml
+++ b/examples/mistral/Mistral-7b-example/config.yml
@@ -11,7 +11,7 @@ strict: false
 datasets:
   - path: tilemachos/Demo-Dataset #Path to json dataset file in huggingface
     #for type,conversation arguments read axolotl readme and pick what is suited for your project, I wanted a chatbot and put sharegpt and chatml
-    type: sharegpt 
+    type: sharegpt
     conversation: chatml
 dataset_prepared_path: tilemachos/Demo-Dataset #Path to json dataset file in huggingface
 val_set_size: 0.05
@@ -25,7 +25,7 @@ lora_dropout: 0.05
 lora_target_modules:
   - q_proj
   - v_proj
-  
+
 sequence_len: 512
 sample_packing: false
 pad_to_sequence_len: true