diff --git a/examples/finetune/finetune.cpp b/examples/finetune/finetune.cpp
index d942f159d..529ab5e8c 100644
--- a/examples/finetune/finetune.cpp
+++ b/examples/finetune/finetune.cpp
@@ -1224,6 +1224,24 @@ struct ggml_tensor * llama_build_lora_finetune_graphs(
         // output tensors
         ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, t35, one));
         ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, t36, one));
+
+        // make sure base model tensors data cannot be used in viewable operations
+        ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, model->tok_embeddings, one));
+        ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, model->norm, one));
+        ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, model->output, one));
+        for (int il = 0; il < n_layer; ++il) {
+            struct my_llama_layer & layer = model->layers[il];
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.attention_norm, one));
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.ffn_norm, one));
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.wq, one));
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.wk, one));
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.wv, one));
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.wo, one));
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.w1, one));
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.w2, one));
+            ggml_build_forward_expand(gb, ggml_scale_inplace(ctx, layer.w3, one));
+        }
+
         // gradient tensors (will be set to zero by ggml_graph_reset)
         for (int i = 0; i < gf->n_nodes; ++i) {
             if (!gf->grads[i]) continue;