diff --git a/ggml/src/ggml-openvino/openvino/op/glu_geglu.cpp b/ggml/src/ggml-openvino/openvino/op/glu_geglu.cpp
index ad5cd3f6ba..8be9e8deb0 100644
--- a/ggml/src/ggml-openvino/openvino/op/glu_geglu.cpp
+++ b/ggml/src/ggml-openvino/openvino/op/glu_geglu.cpp
@@ -26,7 +26,7 @@ OutputVector translate_glu_geglu(const NodeContext & context) {
         src1 = context.get_input(1);
     } else {
         auto combined = context.get_input(0);
-        auto split_axis = ov::op::v0::Constant::create(ov::element::i64, {}, {3});
+        auto split_axis = ov::op::v0::Constant::create(ov::element::i64, {}, {-1});
         auto split = std::make_shared<ov::op::v1::Split>(combined, split_axis, 2);
         src0 = split->output(0);
         src1 = split->output(1);
diff --git a/ggml/src/ggml-openvino/openvino/op/glu_swiglu.cpp b/ggml/src/ggml-openvino/openvino/op/glu_swiglu.cpp
index 2b7f13629f..6e0b85517e 100644
--- a/ggml/src/ggml-openvino/openvino/op/glu_swiglu.cpp
+++ b/ggml/src/ggml-openvino/openvino/op/glu_swiglu.cpp
@@ -26,7 +26,7 @@ OutputVector translate_glu_swiglu(const NodeContext & context) {
         src1 = context.get_input(1);
     } else {
         auto combined = context.get_input(0);
-        auto split_axis = ov::op::v0::Constant::create(ov::element::i64, {}, {3});
+        auto split_axis = ov::op::v0::Constant::create(ov::element::i64, {}, {-1});
         auto split = std::make_shared<ov::op::v1::Split>(combined, split_axis, 2);
         src0 = split->output(0);
         src1 = split->output(1);
diff --git a/ggml/src/ggml-openvino/openvino/op/rope.cpp b/ggml/src/ggml-openvino/openvino/op/rope.cpp
index 01bc46131e..44e3368217 100644
--- a/ggml/src/ggml-openvino/openvino/op/rope.cpp
+++ b/ggml/src/ggml-openvino/openvino/op/rope.cpp
@@ -70,22 +70,16 @@ OutputVector translate_rope(const NodeContext & context) {
     constexpr int ROPE_TYPE_NORM = 0;
 
     if (mode == ROPE_TYPE_NORM) {
+        auto neg_one = ov::op::v0::Constant::create(ov::element::i64, {1}, {-1});
         auto zero = ov::op::v0::Constant::create(ov::element::i64, {1}, {0});
         auto one = ov::op::v0::Constant::create(ov::element::i64, {1}, {1});
         auto two = ov::op::v0::Constant::create(ov::element::i64, {1}, {2});
         auto end = ov::op::v0::Constant::create(ov::element::i64, {1}, {output_shape[3]});
         Output<Node> even_slice;
         Output<Node> odd_slice;
-        int32_t unsqueeze_dim = 4;
-        if (context.is_stateful()) {
-            unsqueeze_dim = 3;
-            even_slice = std::make_shared<ov::op::v8::Slice>(data_node, zero, end, two, two);
-            odd_slice = std::make_shared<ov::op::v8::Slice>(data_node, one, end, two, two);
-        } else {
-            auto three = ov::op::v0::Constant::create(ov::element::i64, {1}, {3});
-            even_slice = std::make_shared<ov::op::v8::Slice>(data_node, zero, end, two, three);
-            odd_slice = std::make_shared<ov::op::v8::Slice>(data_node, one, end, two, three);
-        }
+        int32_t unsqueeze_dim = context.is_stateful() ? 3 : 4;
+        even_slice = std::make_shared<ov::op::v8::Slice>(data_node, zero, end, two, neg_one);
+        odd_slice = std::make_shared<ov::op::v8::Slice>(data_node, one, end, two, neg_one);
 
         Output<Node> first_half =
             std::make_shared<ov::op::v1::Subtract>(std::make_shared<ov::op::v1::Multiply>(even_slice, cos_theta_node),
@@ -105,7 +99,7 @@ OutputVector translate_rope(const NodeContext & context) {
         res = std::make_shared<ov::op::v1::Reshape>(stack, data_shape, false);
     } else if (mode == ROPE_TYPE_NEOX) {
         auto data_split = std::make_shared<ov::op::v1::Split>(
-            data_node, ov::op::v0::Constant::create(ov::element::i64, ov::Shape{}, {3}), 2);
+            data_node, ov::op::v0::Constant::create(ov::element::i64, ov::Shape{}, {-1}), 2);
         Output<Node> slice_data_node_0 = data_split->outputs()[0];
         Output<Node> slice_data_node_1 = data_split->outputs()[1];
 
@@ -117,11 +111,7 @@ OutputVector translate_rope(const NodeContext & context) {
             std::make_shared<ov::op::v1::Multiply>(slice_data_node_0, sin_theta_node),
             std::make_shared<ov::op::v1::Multiply>(slice_data_node_1, cos_theta_node));
 
-        int32_t concat_dim = 3;
-        if (context.is_stateful()) {
-            concat_dim = 2;
-        }
-        res = std::make_shared<ov::op::v0::Concat>(ov::OutputVector{first_half_node, second_half_node}, concat_dim);
+        res = std::make_shared<ov::op::v0::Concat>(ov::OutputVector{first_half_node, second_half_node}, -1);
     }
 
     return rename_outputs_with_suffix({res}, context.get_name());
diff --git a/ggml/src/ggml-openvino/openvino/utils.cpp b/ggml/src/ggml-openvino/openvino/utils.cpp
index b7553f99c8..a0215b97b1 100644
--- a/ggml/src/ggml-openvino/openvino/utils.cpp
+++ b/ggml/src/ggml-openvino/openvino/utils.cpp
@@ -216,7 +216,7 @@ ov::Output<ov::Node> process_view_input(const NodeContext & context, int input_i
     auto begin = ov::op::v0::Constant::create(ov::element::i64, {1}, {split_addr});
     auto end = ov::op::v0::Constant::create(ov::element::i64, {1}, {slice_end});
     auto stride = ov::op::v0::Constant::create(ov::element::i64, {1}, {1});
-    auto axes = ov::op::v0::Constant::create(ov::element::i64, {1}, {3});
+    auto axes = ov::op::v0::Constant::create(ov::element::i64, {1}, {context.is_stateful() ? 2 : 3});
     auto sliced = std::make_shared<ov::op::v8::Slice>(input, begin, end, stride, axes);
     return sliced;
 }
diff --git a/ggml/src/ggml-openvino/utils.cpp b/ggml/src/ggml-openvino/utils.cpp
index 8c3717472b..edf42cd985 100644
--- a/ggml/src/ggml-openvino/utils.cpp
+++ b/ggml/src/ggml-openvino/utils.cpp
@@ -497,6 +497,7 @@ ov::Tensor get_ov_input_tensor(std::shared_ptr<GgmlOvDecoder> ggml_decoder, cons
 
 ov::Tensor get_ov_input_tensor_static_decode(std::shared_ptr<GgmlOvDecoder> ggml_decoder,
                                              const std::string & param_name) {
+    // NPU decoding stage
     const auto * ggml_tensor = ggml_decoder->get_input_ggml_tensor(param_name);
     const auto * op = ggml_decoder->get_tensor_used_op(ggml_tensor);
 
@@ -540,6 +541,7 @@ ov::Tensor get_ov_input_tensor_static_decode(std::shared_ptr<GgmlOvDecoder> ggml
 ov::Tensor get_ov_input_tensor_static_prefill(std::shared_ptr<GgmlOvDecoder> ggml_decoder,
                                               const std::string & param_name,
                                               int chunk_index) {
+    // NPU prompt processing stage
     const auto * ggml_tensor = ggml_decoder->get_input_ggml_tensor(param_name);
     const auto * op = ggml_decoder->get_tensor_used_op(ggml_tensor);