diff --git a/unsloth/models/llama.py b/unsloth/models/llama.py
index f7bfd855c2..d2b457a9cd 100644
--- a/unsloth/models/llama.py
+++ b/unsloth/models/llama.py
@@ -985,7 +985,7 @@ class FastLlamaModel:
 
         debug_info = """debug_info = \\
         f"==((====))==  Unsloth - Free Apache OSS license | Num GPUs = {args.world_size}\\n"\\
-        f"   \\\\\\   /|  Num examples = {num_examples:,} | Num Epochs = {num_train_epochs:,}\\n"\\
+        f"   \\\\\\   /|    Num examples = {num_examples:,} | Num Epochs = {num_train_epochs:,}\\n"\\
         f"O^O/ \\_/ \\    Batch size per device = {self._train_batch_size:,} | Gradient Accumulation steps = {args.gradient_accumulation_steps}\\n"\\
         f"\\        /    Total batch size = {total_train_batch_size:,} | Total steps = {max_steps:,}\\n"\\
         f' "-____-"     Number of trainable parameters = {get_model_param_count(model, trainable_only=True):,}'
diff --git a/unsloth/models/mistral.py b/unsloth/models/mistral.py
index ac9b9fad1f..b591a1da92 100644
--- a/unsloth/models/mistral.py
+++ b/unsloth/models/mistral.py
@@ -390,7 +390,7 @@ class FastMistralModel(FastLlamaModel):
 
         debug_info = """debug_info = \\
         f"==((====))==  Unsloth - Free Apache OSS license | Num GPUs = {args.world_size}\\n"\\
-        f"   \\\\\\   /|  Num examples = {num_examples:,} | Num Epochs = {num_train_epochs:,}\\n"\\
+        f"   \\\\\\   /|    Num examples = {num_examples:,} | Num Epochs = {num_train_epochs:,}\\n"\\
         f"O^O/ \\_/ \\    Batch size per device = {self._train_batch_size:,} | Gradient Accumulation steps = {args.gradient_accumulation_steps}\\n"\\
         f"\\        /    Total batch size = {total_train_batch_size:,} | Total steps = {max_steps:,}\\n"\\
         f' "-____-"     Number of trainable parameters = {get_model_param_count(model, trainable_only=True):,}'