diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp
index 08731f5381c..5e5b9c9054e 100644
--- a/src/llama-graph.cpp
+++ b/src/llama-graph.cpp
@@ -2277,7 +2277,12 @@ ggml_tensor * llm_graph_context::build_attn(
         const int64_t padded_v_head = v->ne[0];
         if (padded_v_head != orig_v_head) {
             // Reshape to 4D, extract original head_dim, reshape back to 2D
-            const int64_t n_head_v = hparams.n_head_kv(il);
+            // Fix #78 (bingh0): cur shape post-MHA is (n_embd_head * n_head, n_tokens),
+            // not (n_embd_head * n_head_kv, n_tokens). Reshape needs n_head
+            // (Q-head count) so GQA models with n_head != n_head_kv (e.g.
+            // Qwen2.5-0.5B head_dim=64 padded → 128) don't fail the element
+            // count check in ggml_reshape_3d.
+            const int64_t n_head_v = hparams.n_head(il);
             const int64_t n_tokens_cur = cur->ne[1];
             cur = ggml_reshape_3d(ctx0, cur, padded_v_head, n_head_v, n_tokens_cur);
             // ggml_view_3d to extract first orig_v_head elements per head
@@ -2399,7 +2404,12 @@ ggml_tensor * llm_graph_context::build_attn(
         const int64_t padded_v_head = v->ne[0];     // padded V head_dim in cache
         if (padded_v_head != orig_v_head) {
             // cur is 2D: (padded_v_head * n_head, n_tokens) after build_attn_mha
-            const int64_t n_head_v = hparams.n_head_kv(il);
+            // Fix #78 (bingh0): cur shape post-MHA is (n_embd_head * n_head, n_tokens),
+            // not (n_embd_head * n_head_kv, n_tokens). Reshape needs n_head
+            // (Q-head count) so GQA models with n_head != n_head_kv (e.g.
+            // Qwen2.5-0.5B head_dim=64 padded → 128) don't fail the element
+            // count check in ggml_reshape_3d.
+            const int64_t n_head_v = hparams.n_head(il);
             const int64_t n_tokens_cur = cur->ne[1];
             cur = ggml_reshape_3d(ctx0, cur, padded_v_head, n_head_v, n_tokens_cur);
             cur = ggml_view_3d(ctx0, cur, orig_v_head, n_head_v, n_tokens_cur,
@@ -2514,7 +2524,12 @@ ggml_tensor * llm_graph_context::build_attn(
         const int64_t orig_v_head = hparams.n_embd_head_v(il);
         const int64_t padded_v_head = v->ne[0];
         if (padded_v_head != orig_v_head) {
-            const int64_t n_head_v = hparams.n_head_kv(il);
+            // Fix #78 (bingh0): cur shape post-MHA is (n_embd_head * n_head, n_tokens),
+            // not (n_embd_head * n_head_kv, n_tokens). Reshape needs n_head
+            // (Q-head count) so GQA models with n_head != n_head_kv (e.g.
+            // Qwen2.5-0.5B head_dim=64 padded → 128) don't fail the element
+            // count check in ggml_reshape_3d.
+            const int64_t n_head_v = hparams.n_head(il);
             const int64_t n_tokens_cur = cur->ne[1];
             cur = ggml_reshape_3d(ctx0, cur, padded_v_head, n_head_v, n_tokens_cur);
             cur = ggml_view_3d(ctx0, cur, orig_v_head, n_head_v, n_tokens_cur,