Use llama-graph.h vertical alignment

Author: pwilkin

src/models/models.h

@@ -424,42 +424,48 @@ struct llm_build_qwen3vlmoe : public llm_graph_context {
 struct llm_build_qwen3next : public llm_graph_context_mamba {
     llm_build_qwen3next(const llama_model & model, const llm_graph_params & params);
 private:
-    ggml_tensor * build_qwen3next_attention_layer(  ggml_tensor             * cur,
-                                                    ggml_tensor             * inp_pos,
-                                                    llm_graph_input_attn_kv * inp_attn,
-                                                    const llama_model       & model,
-                                                    int64_t                   n_embd_head,
-                                                    int                       il);
-    ggml_tensor * build_qwen3next_linear_attn_layer(llm_graph_input_rs      * inp,
-                                                    ggml_tensor             * cur,
-                                                    const llama_model       & model,
-                                                    const llama_ubatch      & ubatch,
-                                                    ggml_tensor             * causal_mask,
-                                                    ggml_tensor             * identity,
-                                                    int                       il);
-    ggml_tensor * build_layer_ffn(                  ggml_tensor             * cur,
-                                                    const llama_model       & model,
-                                                    int                       il);
-    ggml_tensor * delta_net_unified(                ggml_context            * ctx,
-                                                    ggml_tensor             * q,
-                                                    ggml_tensor             * k,
-                                                    ggml_tensor             * v,
-                                                    ggml_tensor             * g,
-                                                    ggml_tensor             * beta,
-                                                    ggml_tensor             * state,
-                                                    ggml_tensor             * causal_mask,
-                                                    ggml_tensor             * identity,
-                                                    bool                      use_qk_l2norm,
-                                                    float                     eps_norm,
-                                                    int                       il);
-    ggml_tensor * build_q3n_norm(                   ggml_tensor             * input,
-                                                    ggml_tensor             * weights,
-                                                    int                       layer);
-
-    ggml_tensor * build_q3n_gated_norm(             ggml_tensor             * input,
-                                                    ggml_tensor             * weights,
-                                                    ggml_tensor             * gate,
-                                                    int                       layer);
+    ggml_tensor * build_qwen3next_attention_layer(
+                ggml_tensor * cur,
+                ggml_tensor * inp_pos,
+    llm_graph_input_attn_kv * inp_attn,
+          const llama_model & model,
+                    int64_t   n_embd_head,
+                        int   il);
+    ggml_tensor * build_qwen3next_linear_attn_layer(
+         llm_graph_input_rs * inp,
+                ggml_tensor * cur,
+          const llama_model & model,
+         const llama_ubatch & ubatch,
+                ggml_tensor * causal_mask,
+                ggml_tensor * identity,
+                        int   il);
+    ggml_tensor * build_layer_ffn(
+                ggml_tensor * cur,
+          const llama_model & model,
+                        int   il);
+    ggml_tensor * delta_net_unified(
+               ggml_context * ctx,
+                ggml_tensor * q,
+                ggml_tensor * k,
+                ggml_tensor * v,
+                ggml_tensor * g,
+                ggml_tensor * beta,
+                ggml_tensor * state,
+                ggml_tensor * causal_mask,
+                ggml_tensor * identity,
+                      bool    use_qk_l2norm,
+                     float    eps_norm,
+                       int    il);
+    ggml_tensor * build_q3n_norm(
+                ggml_tensor * input,
+                ggml_tensor * weights,
+                        int   layer);
+
+    ggml_tensor * build_q3n_gated_norm(
+                ggml_tensor * input,
+                ggml_tensor * weights,
+                ggml_tensor * gate,
+                        int   layer);
 };
 
 struct llm_build_qwen : public llm_graph_context {