diff --git a/Makefile b/Makefile
index 9a541f21d..b11efd961 100644
--- a/Makefile
+++ b/Makefile
@@ -874,9 +874,9 @@ ggml/src/ggml-cuda/%.o: \
 	$(HIPCC) $(CXXFLAGS) $(HIPFLAGS) -x hip -c -o $@ $<
 endif # GGML_HIPBLAS
 
-ifdef GGML_CPU_AARCH64
-	MK_CPPFLAGS += -DGGML_USE_CPU_AARCH64
-	MK_CFLAGS += -DGGML_USE_CPU_AARCH64
+ifdef GGML_RUNTIME_REPACK
+	MK_CPPFLAGS += -DGGML_USE_RUNTIME_REPACK
+	MK_CFLAGS += -DGGML_USE_RUNTIME_REPACK
 endif
 
 ifdef GGML_METAL
diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt
index 33422425d..6732f1880 100644
--- a/ggml/CMakeLists.txt
+++ b/ggml/CMakeLists.txt
@@ -92,7 +92,7 @@ else()
 endif()
 
 option(GGML_CPU_HBM     "ggml: use memkind for CPU HBM" OFF)
-option(GGML_CPU_AARCH64 "ggml: use runtime weight quantization to enable optimized GEMM/GEMV kernels for AARCH64 cpu" OFF)
+option(GGML_RUNTIME_REPACK "ggml: use runtime weight quantization to enable optimized GEMM/GEMV kernels for AARCH64 cpu" OFF)
 
 option(GGML_AVX         "ggml: enable AVX"              ${INS_ENB})
 option(GGML_AVX2        "ggml: enable AVX2"             ${INS_ENB})
diff --git a/ggml/include/ggml-cpu.h b/ggml/include/ggml-cpu.h
index 39b081dae..50d9cfd59 100644
--- a/ggml/include/ggml-cpu.h
+++ b/ggml/include/ggml-cpu.h
@@ -145,7 +145,7 @@ extern "C" {
     GGML_API ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void);
 #endif
 
-#ifdef GGML_USE_CPU_AARCH64
+#ifdef GGML_USE_RUNTIME_REPACK
     GGML_API ggml_backend_buffer_type_t ggml_backend_cpu_aarch64_buffer_type(void);
 #endif
 
diff --git a/ggml/src/CMakeLists.txt b/ggml/src/CMakeLists.txt
index 122573201..b7aa6de40 100644
--- a/ggml/src/CMakeLists.txt
+++ b/ggml/src/CMakeLists.txt
@@ -880,10 +880,10 @@ if (GGML_CPU_HBM)
     target_link_libraries(ggml PUBLIC memkind)
 endif()
 
-if (GGML_CPU_AARCH64)
+if (GGML_RUNTIME_REPACK)
     message(STATUS "Using runtime weight quantization to enable optimized GEMM/GEMV kernels for AARCH64 cpu")
 
-    add_compile_definitions(GGML_USE_CPU_AARCH64)
+    add_compile_definitions(GGML_USE_RUNTIME_REPACK)
 endif()
 
 if (GGML_CANN)
diff --git a/ggml/src/ggml-aarch64.c b/ggml/src/ggml-aarch64.c
index 801cf2bdc..78ba8a0a4 100644
--- a/ggml/src/ggml-aarch64.c
+++ b/ggml/src/ggml-aarch64.c
@@ -3477,10 +3477,9 @@ void ggml_gemm_q4_0_8x8_q8_0(int n, float * restrict s, size_t bs, const void *
     }
 }
 
-#ifdef GGML_USE_CPU_AARCH64
-static void repack_q4_0_to_q4_0_4_bl(struct ggml_tensor * t, int interleave_block, const void * data, size_t data_size) {
+#ifdef GGML_USE_RUNTIME_REPACK
+static int repack_q4_0_to_q4_0_4_bl(struct ggml_tensor * t, int interleave_block, const void * data, size_t data_size) {
     GGML_ASSERT(t->type == GGML_TYPE_Q4_0);
-    GGML_ASSERT(t->ne[0] % 8 == 0);
     GGML_ASSERT(interleave_block == 4 || interleave_block == 8);
 
     block_q4_0x4 *dst = (block_q4_0x4 *)t->data;
@@ -3492,9 +3491,12 @@ static void repack_q4_0_to_q4_0_4_bl(struct ggml_tensor * t, int interleave_bloc
 
     GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q4_0));
 
+    if (nrow % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
+        return -1;
+    }
+
     for (int b = 0; b < nrow; b += nrows_interleaved) {
-        for (int64_t x = 0; x < nblocks; x++)
-        {
+        for (int64_t x = 0; x < nblocks; x++) {
             for (int i = 0; i < nrows_interleaved; i++) {
                 dst_tmp[i] = src[x + i * nblocks];
             }
@@ -3502,13 +3504,13 @@ static void repack_q4_0_to_q4_0_4_bl(struct ggml_tensor * t, int interleave_bloc
         }
         src += nrows_interleaved * nblocks;
     }
+    return 0;
 
     GGML_UNUSED(data_size);
 }
 
-static void repack_q4_0_to_q4_0_8_bl(struct ggml_tensor *t, int interleave_block,  const void * data, size_t data_size) {
+static int repack_q4_0_to_q4_0_8_bl(struct ggml_tensor *t, int interleave_block, const void * data, size_t data_size) {
     GGML_ASSERT(t->type == GGML_TYPE_Q4_0);
-    GGML_ASSERT(t->ne[0] % 8 == 0);
     GGML_ASSERT(interleave_block == 8);
 
     block_q4_0x8 *dst = (block_q4_0x8*)t->data;
@@ -3520,6 +3522,10 @@ static void repack_q4_0_to_q4_0_8_bl(struct ggml_tensor *t, int interleave_block
 
     GGML_ASSERT(data_size == nrow * nblocks * sizeof(block_q4_0));
 
+    if (nrow % nrows_interleaved != 0 || t->ne[0] % 8 != 0) {
+        return -1;
+    }
+
     for (int b = 0; b < nrow; b += nrows_interleaved) {
         for (int64_t x = 0; x < nblocks; x++) {
             for (int i  = 0; i < nrows_interleaved; i++ ) {
@@ -3529,6 +3535,7 @@ static void repack_q4_0_to_q4_0_8_bl(struct ggml_tensor *t, int interleave_block
         }
         src += nrows_interleaved * nblocks;
     }
+    return 0;
 
     GGML_UNUSED(data_size);
 }
@@ -3536,22 +3543,18 @@ static void repack_q4_0_to_q4_0_8_bl(struct ggml_tensor *t, int interleave_block
 // Prepare for optimized kernels if applicable
 int ggml_prepare_optimal_kernel(struct ggml_tensor * cur, const void * data, size_t data_size) {
     GGML_ASSERT(cur->type == GGML_TYPE_Q4_0);
-    int ret = -1;
 #if defined(__ARM_ARCH)
     if (ggml_cpu_has_sve() && ggml_cpu_has_matmul_int8() && ggml_cpu_get_sve_cnt() == QK8_0) {
-        repack_q4_0_to_q4_0_8_bl(cur, 8, data, data_size);
-        ret = 0;
+        return repack_q4_0_to_q4_0_8_bl(cur, 8, data, data_size);
     }
     else if (ggml_cpu_has_neon() && ggml_cpu_has_matmul_int8()) {
-        repack_q4_0_to_q4_0_4_bl(cur, 8, data, data_size);
-        ret = 0;
+        return repack_q4_0_to_q4_0_4_bl(cur, 8, data, data_size);
     }
     else if (ggml_cpu_has_neon()) {
-        repack_q4_0_to_q4_0_4_bl(cur, 4, data, data_size);
-        ret = 0;
+        return repack_q4_0_to_q4_0_4_bl(cur, 4, data, data_size);
     }
 #endif
-    return ret;
+    return -1;
 
     GGML_UNUSED(cur);
     GGML_UNUSED(data);
diff --git a/ggml/src/ggml-aarch64.h b/ggml/src/ggml-aarch64.h
index 0353c6be4..74eddb060 100644
--- a/ggml/src/ggml-aarch64.h
+++ b/ggml/src/ggml-aarch64.h
@@ -33,7 +33,7 @@ void ggml_gemm_q4_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
 void ggml_gemm_q4_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
 
-#ifdef GGML_USE_CPU_AARCH64
+#ifdef GGML_USE_RUNTIME_REPACK
 int ggml_prepare_optimal_kernel(struct ggml_tensor * cur, const void * data, size_t data_size);
 enum ggml_type ggml_get_optimal_type(const struct ggml_tensor * cur);
 #endif
diff --git a/ggml/src/ggml-backend.cpp b/ggml/src/ggml-backend.cpp
index b21a92a76..5f8cb543c 100644
--- a/ggml/src/ggml-backend.cpp
+++ b/ggml/src/ggml-backend.cpp
@@ -2239,7 +2239,7 @@ ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void) {
 }
 #endif
 
-#ifdef GGML_USE_CPU_AARCH64
+#ifdef GGML_USE_RUNTIME_REPACK
 
 // buffer type AARCH64
 
@@ -2316,7 +2316,7 @@ static ggml_backend_buffer_type_t * ggml_backend_cpu_get_extra_bufts(ggml_backen
     bufts[index++] = ggml_backend_cpu_hbm_buffer_type();
 #endif
 
-#ifdef GGML_USE_CPU_AARCH64
+#ifdef GGML_USE_RUNTIME_REPACK
     if (ggml_cpu_has_neon() || ggml_cpu_has_matmul_int8() || ggml_cpu_has_sve()) {
         bufts[index++] = ggml_backend_cpu_aarch64_buffer_type();
     }
@@ -2635,7 +2635,7 @@ static ggml_backend_buffer_t ggml_backend_cpu_device_buffer_from_host_ptr(ggml_b
 }
 
 static bool ggml_backend_cpu_device_supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) {
-#ifdef GGML_USE_CPU_AARCH64
+#ifdef GGML_USE_RUNTIME_REPACK
     const struct ggml_tensor *tensor = op->src[0];
     if (tensor && tensor->buffer && (strcmp(tensor->buffer->buft->iface.get_name(tensor->buffer->buft),"CPU_AARCH64") == 0)) {
         if (op->op == GGML_OP_MUL_MAT && tensor->type == GGML_TYPE_Q4_0) {
diff --git a/ggml/src/ggml-cpu.c b/ggml/src/ggml-cpu.c
index b62fd3413..40ce0e5c4 100644
--- a/ggml/src/ggml-cpu.c
+++ b/ggml/src/ggml-cpu.c
@@ -7427,7 +7427,7 @@ static void ggml_compute_forward_mul_mat(
 
     enum ggml_type type = src0->type;
 
-#ifdef GGML_USE_CPU_AARCH64
+#ifdef GGML_USE_RUNTIME_REPACK
     if (strcmp(src0->buffer->buft->iface.get_name(src0->buffer->buft),"CPU_AARCH64") == 0) {
         type  = ggml_get_optimal_type(src0);
     }