diff --git a/src/models/bailingmoe3.cpp b/src/models/bailingmoe3.cpp
index 1583d9be34..5ebedaecbb 100644
--- a/src/models/bailingmoe3.cpp
+++ b/src/models/bailingmoe3.cpp
@@ -86,7 +86,7 @@ void llama_model_bailingmoe3::load_arch_tensors(llama_model_loader & ml) {
             create_tensor_qkv(layer, il, n_embd, d_inner, d_inner, d_inner, trunk_flags);
             layer.ssm_f_a = create_tensor(tn(LLM_TENSOR_SSM_F_A, "weight", il), { n_embd, d_inner }, trunk_flags);
             layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", il), { n_embd, n_head }, trunk_flags);
-            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, il), { 1, n_head }, trunk_flags);
+            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, il), { 1, n_head }, trunk_flags);
             layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", il), { d_inner }, trunk_flags);
             layer.ssm_g_a = create_tensor(tn(LLM_TENSOR_SSM_G_A, "weight", il), { n_embd, d_inner }, trunk_flags);
             layer.ssm_o_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", il), { head_dim }, trunk_flags);
diff --git a/src/models/kimi-k3.cpp b/src/models/kimi-k3.cpp
index d952d72cdf..7b46bccdb0 100644
--- a/src/models/kimi-k3.cpp
+++ b/src/models/kimi-k3.cpp
@@ -94,7 +94,7 @@ void llama_model_kimi_k3::load_arch_tensors(llama_model_loader &) {
             layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), {n_embd, n_head}, 0);
 
             // K3's A_log is a plain 1-D [n_head] tensor (kimi-linear's is padded)
-            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {n_head}, 0);
+            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), {n_head}, 0);
             layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0);
 
             // K3 uses a single full-rank gate instead of kimi-linear's g_a/g_b pair
diff --git a/src/models/kimi-linear.cpp b/src/models/kimi-linear.cpp
index 367f6990d1..bda3cd9b04 100644
--- a/src/models/kimi-linear.cpp
+++ b/src/models/kimi-linear.cpp
@@ -84,9 +84,9 @@ void llama_model_kimi_linear::load_arch_tensors(llama_model_loader &) {
              layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), {n_embd, n_head}, 0);
 
              // A_log - Shape in GGUF: [1, num_heads, 1, 1] (4D) or [1, num_heads] (2D after quantization) Note: -exp(A_log) is applied in convert_hf_to_gguf.py
-             layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head, 1, 1}, TENSOR_NOT_REQUIRED);
+             layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), {1, n_head, 1, 1}, TENSOR_NOT_REQUIRED);
              if (!layer.ssm_a) {
-                 layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0);
+                 layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN, i), {1, n_head}, 0);
              }
 
              // dt_bias - shape [n_embd_head_k_kda * n_head] = [4096]