diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp
index f2dab6a898..b8eb12690e 100644
--- a/src/llama-quant.cpp
+++ b/src/llama-quant.cpp
@@ -1088,14 +1088,12 @@ static std::unordered_map<std::string, ggml_type> target_bpw_type(
             }
         }
 
-        auto side_data = [&](const std::unordered_map<std::string, std::vector<float>> * m, const std::string & tensor_name) -> std::pair<const float*, size_t> {
-            if (!m) { return {nullptr, 0}; }
+        auto side_data = [&](const std::unordered_map<std::string, std::vector<float>> * m, const std::string & tensor_name) {
+            if (!m) { return std::pair<const float*, size_t>{nullptr, 0}; }
 
             const std::string key = remap_imatrix(tensor_name, mapped);
             const auto it = m->find(key);
-            if (it == m->end()) { return {nullptr, 0}; }
-
-            return { it->second.data(), it->second.size() };
+            return it == m->end() ? std::pair<const float*, size_t>{nullptr, 0} : std::pair<const float*, size_t>{ it->second.data(), it->second.size() };
         };
 
         // Copy this row's side data (values and activations), or broadcasts to all slices
@@ -1105,9 +1103,7 @@ static std::unordered_map<std::string, ggml_type> target_bpw_type(
 
             const size_t want = (size_t)ne2 * (size_t)n_per_row;
             if (src_sz == want) {
-                dst.resize(want);
-                std::memcpy(dst.data(), src, want * sizeof(float));
-
+                dst.assign(src, src + want);
                 return;
             }
             if (src_sz == (size_t)n_per_row) {
@@ -1115,7 +1111,6 @@ static std::unordered_map<std::string, ggml_type> target_bpw_type(
                 for (int64_t s = 0; s < ne2; ++s) {
                     std::memcpy(dst.data() + s * n_per_row, src, n_per_row * sizeof(float));
                 }
-
                 return;
             }