diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp
index 5b3fec3dc5..31694e2834 100644
--- a/src/llama-quant.cpp
+++ b/src/llama-quant.cpp
@@ -480,14 +480,12 @@ static size_t llama_tensor_quantize_impl(enum ggml_type new_type, const float *
 }
 
 static bool tensor_type_requires_imatrix(const ggml_type dst_type) {
-    if (dst_type == GGML_TYPE_IQ2_XXS || dst_type == GGML_TYPE_IQ2_XS ||
+    return (
+        dst_type == GGML_TYPE_IQ2_XXS || dst_type == GGML_TYPE_IQ2_XS ||
         dst_type == GGML_TYPE_IQ3_XXS || dst_type == GGML_TYPE_IQ1_S  ||
         dst_type == GGML_TYPE_IQ2_S   || dst_type == GGML_TYPE_IQ1_M  ||
-        dst_type == GGML_TYPE_TQ1_0   || dst_type == GGML_TYPE_TQ2_0) {
-        return true;
-    } else {
-        return false;
-    }
+        dst_type == GGML_TYPE_TQ1_0   || dst_type == GGML_TYPE_TQ2_0
+    );
 }
 
 static void llama_model_quantize_impl(const std::string & fname_inp, const std::string & fname_out, const llama_model_quantize_params * params) {
@@ -1066,6 +1064,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
 
     LLAMA_LOG_INFO("%s: model size  = %8.2f MiB (%.2f BPW)\n", __func__, total_size_org/1024.0/1024.0, total_size_org*8.0/ml.n_elements);
     LLAMA_LOG_INFO("%s: quant size  = %8.2f MiB (%.2f BPW)\n", __func__, total_size_new/1024.0/1024.0, total_size_new*8.0/ml.n_elements);
+
     if (!params->imatrix && params->dry_run && will_require_imatrix) {
         LLAMA_LOG_WARN("%s: WARNING: dry run completed successfully, but actually completing this quantization will require an imatrix!\n",
                        __func__