diff --git a/llama.cpp b/llama.cpp
index cae57c409..1aba937fa 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -8545,14 +8545,14 @@ void llama_sample_entropy(struct llama_context * ctx, llama_token_data_array * c
     // Map the normalized entropy to the desired temperature range using the power function
     float dyn_temp = min_temp + (max_temp - min_temp) * powf(normalized_entropy, exponent_val);
 
-    //todo: Ensure to hide print statements unless debugging!
-    printf("Your text maxtemp value is: %f\n", max_temp);
-    // Print the variables
-    printf("Entropy: %f\n", entropy);
-    printf("Max Possible Entropy: %f\n", max_entropy);
-    printf("Normalized Entropy: %f\n", normalized_entropy);
-    printf("Exponent: %f\n", exponent_val);
-    printf("Dynamic Temperature (dyn_temp): %f\n", dyn_temp);
+    // //todo: Ensure to hide print statements unless debugging!
+    // printf("Your text maxtemp value is: %f\n", max_temp);
+    // // Print the variables
+    // printf("Entropy: %f\n", entropy);
+    // printf("Max Possible Entropy: %f\n", max_entropy);
+    // printf("Normalized Entropy: %f\n", normalized_entropy);
+    // printf("Exponent: %f\n", exponent_val);
+    // printf("Dynamic Temperature (dyn_temp): %f\n", dyn_temp);
 
     // Apply the dynamically calculated temperature scaling
     for (size_t i = 0; i < candidates_p->size; ++i) {
@@ -8571,12 +8571,12 @@ void llama_sample_entropy(struct llama_context * ctx, llama_token_data_array * c
         candidates_p->data[i].p /= cum_sum_double; // Re-normalize the probabilities
     }
 
-    //todo: Ensure to hide print statements unless debugging!
-    // Print the updated top 25 probabilities after temperature scaling
-    printf("\nUpdated Top 25 Probabilities After Dynamic Temperature Scaling (in percentages):\n");
-    for (size_t i = 0; i < 25 && i < candidates_p->size; ++i) {
-        printf("Token %zu: %f%%\n", i + 1, candidates_p->data[i].p * 100.0f);
-    }
+    // //todo: Ensure to hide print statements unless debugging!
+    // // Print the updated top 25 probabilities after temperature scaling
+    // printf("\nUpdated Top 25 Probabilities After Dynamic Temperature Scaling (in percentages):\n");
+    // for (size_t i = 0; i < 25 && i < candidates_p->size; ++i) {
+    //     printf("Token %zu: %f%%\n", i + 1, candidates_p->data[i].p * 100.0f);
+    // }
 
     if (ctx) {
         ctx->t_sample_us += ggml_time_us() - t_start_sample_us;