diff --git a/common/common.cpp b/common/common.cpp
index d15e1810b..8c0993c97 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -2640,6 +2640,8 @@ float llama_embd_similarity_cos(const float * embd1, const float * embd2, int n)
 //
 
 static llama_control_vector_data llama_control_vector_load_one(const llama_control_vector_load_info & load_info) {
+    auto start = ggml_time_ms();
+    printf("control vector load_one...\n");
     int32_t n_tensors;
 
     size_t n_bytes = 0;
@@ -2684,7 +2686,6 @@ static llama_control_vector_data llama_control_vector_load_one(const llama_contr
                     fprintf(stderr, "%s: direction tensor invalid in %s\n", __func__, load_info.fname.c_str());
                     gguf_free(meta_ctx_gguf);
                     ggml_free(meta_ctx);
-                    return result;
                 }
             }
 
@@ -2751,10 +2752,14 @@ static llama_control_vector_data llama_control_vector_load_one(const llama_contr
     gguf_free(ctx_gguf);
     ggml_free(ctx);
 
+    auto end = ggml_time_ms();
+    printf("control vector load_one took %ums\n", end - start);
     return result;
 }
 
 llama_control_vector_data llama_control_vector_load(const std::vector<llama_control_vector_load_info> & load_infos) {
+    auto start = ggml_time_ms();
+    printf("control vector load...\n");
     llama_control_vector_data result = { -1, {} };
 
     for (const auto & info : load_infos) {
@@ -2764,7 +2769,7 @@ llama_control_vector_data llama_control_vector_load(const std::vector<llama_cont
             return result;
         }
         if (result.n_embd != -1 && (result.n_embd != cur.n_embd || result.data.size() != cur.data.size())) {
-            fprintf(stderr, "%s: control vector in %s does not match previous vector dimensions\n", __func__, info.fname.c_str());
+            printf("%s: control vector in %s does not match previous vector dimensions\n", __func__, info.fname.c_str());
             return result;
         }
 
@@ -2778,8 +2783,10 @@ llama_control_vector_data llama_control_vector_load(const std::vector<llama_cont
     }
 
     if (result.n_embd == -1) {
-        fprintf(stderr, "%s: no vectors passed\n", __func__);
+        printf("%s: no vectors passed\n", __func__);
     }
 
+    auto end = ggml_time_ms();
+    printf("control vector load time: %ums\n", end-start);
     return result;
 }
diff --git a/llama.cpp b/llama.cpp
index 61587cb7a..e2fac2dde 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -13994,6 +13994,8 @@ int32_t llama_model_apply_lora_from_file(const struct llama_model * model, const
 }
 
 static bool llama_control_vector_init(struct llama_control_vector & cvec, const llama_model & model) {
+    auto start = ggml_time_ms();
+    fprintf(stderr, "control vector init...\n");
     GGML_ASSERT(cvec.tensors.empty());
     GGML_ASSERT(cvec.ctxs.empty());
     GGML_ASSERT(cvec.bufs.empty());
@@ -14016,6 +14018,9 @@ static bool llama_control_vector_init(struct llama_control_vector & cvec, const
         ggml_context * ctx = ggml_init(params);
         if (!ctx) {
             LLAMA_LOG_ERROR("%s: failed to allocate context for control vector\n", __func__);
+            auto end = ggml_time_ms();
+            fprintf(stderr, "control vector init took %ums\n", end - start);
+            return true;
             return 1;
         }
         ctx_map[it.first] = ctx;
@@ -14036,6 +14041,9 @@ static bool llama_control_vector_init(struct llama_control_vector & cvec, const
         ggml_backend_buffer_t buf = ggml_backend_alloc_ctx_tensors_from_buft(ctx, buft);
         if (!buf) {
             LLAMA_LOG_ERROR("%s: failed to allocate buffer for control vector\n", __func__);
+            auto end = ggml_time_ms();
+            fprintf(stderr, "control vector init took %ums\n", end - start);
+            return true;
             return false;
         }
         ggml_backend_buffer_clear(buf, 0);
@@ -14043,10 +14051,14 @@ static bool llama_control_vector_init(struct llama_control_vector & cvec, const
         cvec.bufs.push_back(buf);
     }
 
+    auto end = ggml_time_ms();
+    fprintf(stderr, "control vector init took %ums\n", end - start);
     return true;
 }
 
 int32_t llama_control_vector_apply(struct llama_context * lctx, const float * data, size_t len, int32_t n_embd, int32_t il_start, int32_t il_end) {
+    auto start = ggml_time_ms();
+    printf("control vector apply...\n");
     const llama_model & model = lctx->model;
     llama_control_vector & cvec = lctx->cvec;
 
@@ -14054,6 +14066,8 @@ int32_t llama_control_vector_apply(struct llama_context * lctx, const float * da
         // disable the current control vector (but leave allocated for later)
         cvec.layer_start = -1;
         cvec.layer_end   = -1;
+        auto end = ggml_time_ms();
+        printf("control vector apply took %ums\n", end - start);
         return 0;
     }
 
@@ -14064,6 +14078,7 @@ int32_t llama_control_vector_apply(struct llama_context * lctx, const float * da
 
     if (cvec.tensors.empty()) {
         if (!llama_control_vector_init(cvec, model)) {
+            LLAMA_LOG_ERROR("%s: control vector init failed\n", __func__);
             return 1;
         }
     }
@@ -14080,6 +14095,8 @@ int32_t llama_control_vector_apply(struct llama_context * lctx, const float * da
         }
     }
 
+    auto end = ggml_time_ms();
+    printf("control vector apply took %ums\n", end - start);
     return 0;
 }