diff --git a/src/llama-model.cpp b/src/llama-model.cpp
index 8bf20a716e..0d21b2a53c 100644
--- a/src/llama-model.cpp
+++ b/src/llama-model.cpp
@@ -1334,6 +1334,12 @@ bool llama_model_base::load_tensors(llama_model_loader & ml) {
             if (!layer.ssm_beta_s && layer.ssm_beta) {
                 layer.ssm_beta_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "scale", i), {1}, TENSOR_NOT_REQUIRED);
             }
+            if (!layer.nextn.eh_proj_s && layer.nextn.eh_proj) {
+                layer.nextn.eh_proj_s = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.nextn.shared_head_head_s && layer.nextn.shared_head_head) {
+                layer.nextn.shared_head_head_s = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
 
             // input scales
             if (!layer.wq_in_s && layer.wq) {
@@ -1393,6 +1399,12 @@ bool llama_model_base::load_tensors(llama_model_loader & ml) {
             if (!layer.ssm_beta_in_s && layer.ssm_beta) {
                 layer.ssm_beta_in_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
             }
+            if (!layer.nextn.eh_proj_in_s && layer.nextn.eh_proj) {
+                layer.nextn.eh_proj_in_s = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.nextn.shared_head_head_in_s && layer.nextn.shared_head_head) {
+                layer.nextn.shared_head_head_in_s = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
         }
         // output scales
         if (output && output->type == GGML_TYPE_NVFP4) {
diff --git a/src/llama-model.h b/src/llama-model.h
index 01c87a7527..398a0aa725 100644
--- a/src/llama-model.h
+++ b/src/llama-model.h
@@ -202,12 +202,16 @@ struct llama_layer_shortconv {
 };
 
 struct llama_layer_nextn {
-    struct ggml_tensor * eh_proj          = nullptr;
-    struct ggml_tensor * embed_tokens     = nullptr;
-    struct ggml_tensor * enorm            = nullptr;
-    struct ggml_tensor * hnorm            = nullptr;
-    struct ggml_tensor * shared_head_head = nullptr;
-    struct ggml_tensor * shared_head_norm = nullptr;
+    struct ggml_tensor * eh_proj               = nullptr;
+    struct ggml_tensor * eh_proj_s             = nullptr;
+    struct ggml_tensor * eh_proj_in_s          = nullptr;
+    struct ggml_tensor * embed_tokens          = nullptr;
+    struct ggml_tensor * enorm                 = nullptr;
+    struct ggml_tensor * hnorm                 = nullptr;
+    struct ggml_tensor * shared_head_head      = nullptr;
+    struct ggml_tensor * shared_head_head_s    = nullptr;
+    struct ggml_tensor * shared_head_head_in_s = nullptr;
+    struct ggml_tensor * shared_head_norm      = nullptr;
 };
 
 struct llama_layer {
diff --git a/src/models/qwen35.cpp b/src/models/qwen35.cpp
index adeb0c26e4..04ecc18fcd 100644
--- a/src/models/qwen35.cpp
+++ b/src/models/qwen35.cpp
@@ -538,7 +538,7 @@ llama_model_qwen35::graph_mtp::graph_mtp(const llama_model & model, const llm_gr
     ggml_tensor * concat = ggml_concat(ctx0, e_norm, h_norm, /*dim=*/ 0);
     cb(concat, "mtp_concat", il);
 
-    ggml_tensor * cur = build_lora_mm(layer.nextn.eh_proj, concat);
+    ggml_tensor * cur = build_lora_mm(layer.nextn.eh_proj, concat, layer.nextn.eh_proj_s);
     cb(cur, "mtp_eh_proj", il);
 
     ggml_tensor * inpSA = cur;
@@ -626,8 +626,9 @@ llama_model_qwen35::graph_mtp::graph_mtp(const llama_model & model, const llm_gr
     cb(cur, "mtp_shared_head_norm", -1);
 
     ggml_tensor * head_w = layer.nextn.shared_head_head ? layer.nextn.shared_head_head : model.output;
+    ggml_tensor * head_s = layer.nextn.shared_head_head ? layer.nextn.shared_head_head_s : model.output_s;
     GGML_ASSERT(head_w && "QWEN35 MTP: missing LM head (nextn.shared_head_head or model.output)");
-    cur = build_lora_mm(head_w, cur);
+    cur = build_lora_mm(head_w, cur, head_s);
     cb(cur, "result_output", -1);
 
     res->t_logits = cur;
diff --git a/src/models/qwen35moe.cpp b/src/models/qwen35moe.cpp
index e4512116d3..dc24f6ed53 100644
--- a/src/models/qwen35moe.cpp
+++ b/src/models/qwen35moe.cpp
@@ -602,7 +602,7 @@ llama_model_qwen35moe::graph_mtp::graph_mtp(const llama_model & model, const llm
     ggml_tensor * concat = ggml_concat(ctx0, e_norm, h_norm, /*dim=*/ 0);
     cb(concat, "mtp_concat", il);
 
-    ggml_tensor * cur = build_lora_mm(layer.nextn.eh_proj, concat);
+    ggml_tensor * cur = build_lora_mm(layer.nextn.eh_proj, concat, layer.nextn.eh_proj_s);
     cb(cur, "mtp_eh_proj", il);
 
     ggml_tensor * inpSA = cur;
@@ -722,8 +722,9 @@ llama_model_qwen35moe::graph_mtp::graph_mtp(const llama_model & model, const llm
     cb(cur, "mtp_shared_head_norm", -1);
 
     ggml_tensor * head_w = layer.nextn.shared_head_head ? layer.nextn.shared_head_head : model.output;
+    ggml_tensor * head_s = layer.nextn.shared_head_head ? layer.nextn.shared_head_head_s : model.output_s;
     GGML_ASSERT(head_w && "QWEN35MOE MTP: missing LM head (nextn.shared_head_head or model.output)");
-    cur = build_lora_mm(head_w, cur);
+    cur = build_lora_mm(head_w, cur, head_s);
     cb(cur, "result_output", -1);
 
     res->t_logits = cur;