diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp
index 9e7c58b167..5bce2bf221 100644
--- a/src/llama-quant.cpp
+++ b/src/llama-quant.cpp
@@ -175,8 +175,8 @@ static void llama_tensor_dequantize_impl(
     workers.clear();
 }
 
-// internal logic for selecting the target tensor type for a given quantization
-// and model arch
+// internal standard logic for selecting the target tensor type for a specific
+// quantization mixture & model architecture
 static ggml_type llama_tensor_get_type_impl(
             quantize_state_impl & qs,
                       ggml_type   new_type,
@@ -422,7 +422,6 @@ static ggml_type llama_tensor_get_type_impl(
             new_type = GGML_TYPE_IQ3_XXS;
         }
     }
-
     return new_type;
 }
 
@@ -468,7 +467,7 @@ static ggml_type llama_tensor_get_type(
             const int64_t qk_k = ggml_blck_size(new_type);
 
             if (nx % qk_k != 0) {
-                LLAMA_LOG_WARN("\n\n%s : tensor cols %" PRId64 " x %" PRId64 " are not divisible by %" PRId64 ", required for %s", __func__, nx, ny, qk_k, ggml_type_name(new_type));
+                LLAMA_LOG_WARN("\n%s: tensor cols %" PRId64 " x %" PRId64 " are not divisible by %" PRId64 ", required for %s", __func__, nx, ny, qk_k, ggml_type_name(new_type));
                 convert_incompatible_tensor = true;
             }
 
@@ -489,7 +488,7 @@ static ggml_type llama_tensor_get_type(
                     case GGML_TYPE_Q4_K:   new_type = GGML_TYPE_Q5_0;   break;
                     case GGML_TYPE_Q5_K:   new_type = GGML_TYPE_Q5_1;   break;
                     case GGML_TYPE_Q6_K:   new_type = GGML_TYPE_Q8_0;   break;
-                    default: throw std::runtime_error("\nUnsupported tensor size encountered\n");
+                    default: throw std::runtime_error("unsupported tensor size");
                 }
                 if (tensor->ne[0] % ggml_blck_size(new_type) != 0) {
                     new_type = GGML_TYPE_F16;