diff --git a/src/llama-model.cpp b/src/llama-model.cpp
index fdaffba80..abfc100fe 100644
--- a/src/llama-model.cpp
+++ b/src/llama-model.cpp
@@ -1094,14 +1094,14 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 switch (hparams.n_layer) {
                     case 28: {
-                        if (hparams.n_head(0)==16) {
+                        if (hparams.n_head(0) == 16) {
                             type = LLM_TYPE_1_5B;
                         } else {
                             type = LLM_TYPE_6B;
                         }
                     } break;
                     case 40: {
-                        if(hparams.n_head(0)==24){
+                        if(hparams.n_head(0) == 24){
                             type = LLM_TYPE_4B;
                         } else {
                             type = LLM_TYPE_9B;
@@ -3083,7 +3083,7 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
                         layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, llama_model_loader::TENSOR_NOT_REQUIRED);
 
-                        if(layer.wqkv == nullptr) {
+                        if (layer.wqkv == nullptr) {
                             layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
                             layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
                             layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
diff --git a/src/llama.cpp b/src/llama.cpp
index 6c4e59b25..5760017e0 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -7217,22 +7217,16 @@ struct llm_build_context {
                 struct ggml_tensor * Vcur = nullptr;
                 if (model.type == LLM_TYPE_1_5B || model.type == LLM_TYPE_4B || model.type == LLM_TYPE_9B) {
                     Qcur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wq, cur);
-                    cb(Qcur, "Qcur", il);
                     if (model.layers[il].bq) {
                         Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                        cb(Qcur, "Qcur", il);
                     }
                     Kcur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wk, cur);
-                    cb(Kcur, "Kcur", il);
                     if (model.layers[il].bk) {
                         Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                        cb(Kcur, "Kcur", il);
                     }
                     Vcur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wv, cur);
-                    cb(Vcur, "Vcur", il);
                     if (model.layers[il].bv) {
                         Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                        cb(Vcur, "Vcur", il);
                     }
                 } else {
                     cur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wqkv, cur);
@@ -7244,10 +7238,10 @@ struct llm_build_context {
                     Qcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd,     n_tokens, cur->nb[1], 0*sizeof(float)*(n_embd)));
                     Kcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd)));
                     Vcur = ggml_cont(ctx0, ggml_view_2d(ctx0, cur, n_embd_gqa, n_tokens, cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa)));
-                    cb(Qcur, "Qcur", il);
-                    cb(Kcur, "Kcur", il);
-                    cb(Vcur, "Vcur", il);
                 }
+                cb(Qcur, "Qcur", il);
+                cb(Kcur, "Kcur", il);
+                cb(Vcur, "Vcur", il);
                 //printf("freq_base: %f freq_scale: %f ext_factor: %f attn_factor: %f\n", freq_base, freq_scale, ext_factor, attn_factor);
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,