diff --git a/llama.cpp b/llama.cpp
index 38a2d5ba8..5a1501651 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -1023,6 +1023,7 @@ struct llama_model_loader {
     int n_kv      = 0;
     int n_tensors = 0;
     int n_created = 0;
+    size_t n_tot_elements = 0;
 
     bool use_mmap = false;
 
@@ -1047,6 +1048,16 @@ struct llama_model_loader {
 
         file_version = (enum llama_file_version) gguf_get_version(ctx_gguf);
 
+        for (int i = 0; i < n_tensors; i++) {
+            const char * name = gguf_get_tensor_name(ctx_gguf, i);
+            struct ggml_tensor * t = ggml_get_tensor(ctx_meta, name);
+            size_t elem = 1;
+            for (int j = 0; j < t->n_dims; j++) {
+                elem *= t->ne[j];
+            }
+            n_tot_elements += elem;
+        }
+        
         // print meta data
         // TODO: make optional
         {
@@ -1413,7 +1424,8 @@ static void llama_model_load_internal(
         LLAMA_LOG_INFO("%s: freq_base  = %.1f\n", __func__, hparams.rope_freq_base);
         LLAMA_LOG_INFO("%s: freq_scale = %g\n",   __func__, hparams.rope_freq_scale);
         LLAMA_LOG_INFO("%s: ftype      = %u (%s)\n", __func__, hparams.ftype, llama_ftype_name(hparams.ftype));
-        LLAMA_LOG_INFO("%s: model size = %s\n",   __func__, llama_model_type_name(model.type));
+        LLAMA_LOG_INFO("%s: model size = %.2f B\n",   __func__, ml->n_tot_elements*1e-9);
+
     }
 
     if (vocab_only) {