diff --git a/llama.cpp b/llama.cpp
index 0947918e6..ebec2a4f0 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -3718,7 +3718,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
                 }
             } else if (name.find("attn_v.weight") != std::string::npos) {
                 if      (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q4_K;
-            } else if (tensor.name.find("attention.wv.weight") != std::string::npos) {
+            } else if (name.find("attention.wv.weight") != std::string::npos) {
                 if      (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q3_K;
                 else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M) {
                     new_type = i_attention_wv < 2 ? GGML_TYPE_Q5_K : GGML_TYPE_Q4_K;
@@ -3733,7 +3733,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
                 ++i_attention_wv;
             } else if (name.find("ffn_down.weight") != std::string::npos) {
                 if      (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q4_K;
-            } else if (tensor.name.find("feed_forward.w2.weight") != std::string::npos) {
+            } else if (name.find("feed_forward.w2.weight") != std::string::npos) {
                 if      (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q3_K;
                 else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M) {
                     new_type = i_feed_forward_w2 < 2 ? GGML_TYPE_Q5_K : GGML_TYPE_Q4_K;
@@ -3745,12 +3745,12 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
                 ++i_feed_forward_w2;
             } else if (name.find("attn_output.weight") != std::string::npos) {
                 if      (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q4_K;
-            } else if (tensor.name.find("attention.wo.weight") != std::string::npos) {
+            } else if (name.find("attention.wo.weight") != std::string::npos) {
                 if      (ftype == LLAMA_FTYPE_MOSTLY_Q2_K  ) new_type = GGML_TYPE_Q3_K;
                 else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M) new_type = GGML_TYPE_Q4_K;
                 else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L) new_type = GGML_TYPE_Q5_K;
             }
-            else if (tensor.name.find("feed_forward.w") != std::string::npos) {
+            else if (name.find("feed_forward.w") != std::string::npos) {
                 if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q3_K;
             }
             // This can be used to reduce the size of the Q5_K_S model.