diff --git a/src/models/minimax-m3.cpp b/src/models/minimax-m3.cpp
index 35e7b1a81..73d145dae 100644
--- a/src/models/minimax-m3.cpp
+++ b/src/models/minimax-m3.cpp
@@ -550,9 +550,9 @@ llama_model_minimax_m3::graph::graph(const llama_model & model, const llm_graph_
         if ((uint32_t) il < hparams.n_layer_dense_lead) {
             // leading dense FFN (swigluoai)
             cur = build_ffn(cur,
-                    model.layers[il].ffn_up,   NULL, NULL,
-                    model.layers[il].ffn_gate, NULL, NULL,
-                    model.layers[il].ffn_down, NULL, NULL,
+                    model.layers[il].ffn_up,   NULL, model.layers[il].ffn_up_s,
+                    model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_s,
+                    model.layers[il].ffn_down, NULL, model.layers[il].ffn_down_s,
                     NULL,
                     LLM_FFN_SWIGLU_OAI_MOE, LLM_FFN_PAR, il);
             cb(cur, "ffn_out", il);
@@ -568,14 +568,17 @@ llama_model_minimax_m3::graph::graph(const llama_model & model, const llm_graph_
                     LLM_FFN_SWIGLU_OAI_MOE, hparams.expert_weights_norm,
                     hparams.expert_weights_scale,
                     (llama_expert_gating_func_type) hparams.expert_gating_func,
-                    il);
+                    il, nullptr, nullptr,
+                    model.layers[il].ffn_up_exps_s,
+                    model.layers[il].ffn_gate_exps_s,
+                    model.layers[il].ffn_down_exps_s);
             cb(moe_out, "ffn_moe_out", il);
 
             // shared expert (swigluoai)
             ggml_tensor * ffn_shexp = build_ffn(cur,
-                    model.layers[il].ffn_up_shexp,   NULL, NULL,
-                    model.layers[il].ffn_gate_shexp, NULL, NULL,
-                    model.layers[il].ffn_down_shexp, NULL, NULL,
+                    model.layers[il].ffn_up_shexp,   NULL, model.layers[il].ffn_up_shexp_s,
+                    model.layers[il].ffn_gate_shexp, NULL, model.layers[il].ffn_gate_shexp_s,
+                    model.layers[il].ffn_down_shexp, NULL, model.layers[il].ffn_down_shexp_s,
                     NULL,
                     LLM_FFN_SWIGLU_OAI_MOE, LLM_FFN_PAR, il);
             cb(ffn_shexp, "ffn_shexp", il);