diff --git a/ggml/src/ggml-cuda/convert.cu b/ggml/src/ggml-cuda/convert.cu
index cb1408e6..7fddcc89 100644
--- a/ggml/src/ggml-cuda/convert.cu
+++ b/ggml/src/ggml-cuda/convert.cu
@@ -341,9 +341,8 @@ inline __device__ int nearest_int(float fval) {
 }
 
 int __device__ __forceinline__ trellis_next_int(uint32_t& val) {
-    constexpr uint32_t ka = 89226354;
-    constexpr uint32_t kb = 64248484;
-    val = ka*val + kb;
+    constexpr uint32_t ka = 0xCBAC1FED;
+    val = ka*val;
     return ggml_cuda_dp4a(val & 0x3f3f3f3f, 0x01010101, -126);
 }
 
diff --git a/ggml/src/ggml-cuda/iqk_mmvq.cu b/ggml/src/ggml-cuda/iqk_mmvq.cu
index c026ff07..bec6a739 100644
--- a/ggml/src/ggml-cuda/iqk_mmvq.cu
+++ b/ggml/src/ggml-cuda/iqk_mmvq.cu
@@ -436,8 +436,7 @@ __device__ __forceinline__ void vec_dot_iq4_ks_q8_1(
 __device__ __forceinline__ void vec_dot_iq4_kt_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs, float * result) {
 
-    constexpr uint32_t ka = 89226354;
-    constexpr uint32_t kb = 64248484;
+    constexpr uint32_t ka = 0xCBAC1FED;
     constexpr uint32_t km = 0x3f3f3f3f;
 
     float scale = *(const float *)vbq;
@@ -461,7 +460,7 @@ __device__ __forceinline__ void vec_dot_iq4_kt_q8_1(
         uint32_t val = ql[j] + ((qh[j] << shift1) & 0xf00) + ((sh & 7) << 12) + idx0;
         int v4 = 0;
         for (int k = 0; k < 4; ++k) {
-            val = ka*val + kb;
+            val *= ka;
             //int s = val & km;
             //sumi += q8[4*j+k] * ggml_cuda_dp4a(s, 0x01010101, -126);
             v4 |= (ggml_cuda_dp4a(val & km, 0x01010101, -126) & 0xff) << 8*k;
@@ -474,8 +473,7 @@ __device__ __forceinline__ void vec_dot_iq4_kt_q8_1(
 __device__ __forceinline__ void vec_dot_iq2_kt_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs, float * result) {
 
-    constexpr uint32_t ka = 89226354;
-    constexpr uint32_t kb = 64248484;
+    constexpr uint32_t ka = 0xCBAC1FED;
     constexpr uint32_t km = 0x3f3f3f3f;
 
     float scale = *(const float *)vbq;
@@ -492,13 +490,13 @@ __device__ __forceinline__ void vec_dot_iq2_kt_q8_1(
         uint32_t val = ql[4*ib32+j] + 4096;
         int v4 = 0;
         for (int k = 0; k < 4; ++k) {
-            val = ka*val + kb;
+            val *= ka;
             v4 |= (ggml_cuda_dp4a(val & km, 0x01010101, -126) & 0xff) << 8*k;
         }
         sumi = ggml_cuda_dp4a(v4, q8[2*j+0], sumi);
         v4 = 0;
         for (int k = 0; k < 4; ++k) {
-            val = ka*val + kb;
+            val *= ka;
             v4 |= (ggml_cuda_dp4a(val & km, 0x01010101, -126) & 0xff) << 8*k;
         }
         sumi = ggml_cuda_dp4a(v4, q8[2*j+1], sumi);
diff --git a/ggml/src/ggml-cuda/mmq.cuh b/ggml/src/ggml-cuda/mmq.cuh
index e2c76a85..a7a6f5e5 100644
--- a/ggml/src/ggml-cuda/mmq.cuh
+++ b/ggml/src/ggml-cuda/mmq.cuh
@@ -2799,8 +2799,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_iq4_kt(
     const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) {
 
-    constexpr uint32_t ka = 89226354;
-    constexpr uint32_t kb = 64248484;
+    constexpr uint32_t ka = 0xCBAC1FED;
     constexpr uint32_t km = 0x3f3f3f3f;
 
 #ifdef INT8_MMA_AVAILABLE
@@ -2835,8 +2834,8 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         uint32_t val2 = offset + ql[8*ib32+2*j+1] + ((qh[8*(ib32%4)+2*j+1] << (8 - 4*(ib32/4))) & 0xf00) + ((sh & 56) << 9);
         int2 v = {0, 0};
         for (int k = 0; k < 4; ++k) {
-            val1 = ka*val1 + kb;
-            val2 = ka*val2 + kb;
+            val1 *= ka;
+            val2 *= ka;
             v.x |= (ggml_cuda_dp4a(val1 & km, 0x01010101, -126) & 0xff) << 8*k;
             v.y |= (ggml_cuda_dp4a(val2 & km, 0x01010101, -126) & 0xff) << 8*k;
         }
@@ -2872,8 +2871,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_iq2_kt(
     const char * __restrict__ x, int * __restrict__ x_tile, const int & kbx0, const int & i_max, const int & stride) {
 
-    constexpr uint32_t ka = 89226354;
-    constexpr uint32_t kb = 64248484;
+    constexpr uint32_t ka = 0xCBAC1FED;
     constexpr uint32_t km = 0x3f3f3f3f;
 
 #ifdef INT8_MMA_AVAILABLE
@@ -2903,11 +2901,11 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         uint32_t val = ql[4*ib32+j] + 4096;
         int2 v = {0, 0};
         for (int k = 0; k < 4; ++k) {
-            val = ka*val + kb;
+            val *= ka;
             v.x |= (ggml_cuda_dp4a(val & km, 0x01010101, -126) & 0xff) << 8*k;
         }
         for (int k = 0; k < 4; ++k) {
-            val = ka*val + kb;
+            val *= ka;
             v.y |= (ggml_cuda_dp4a(val & km, 0x01010101, -126) & 0xff) << 8*k;
         }
 #ifdef INT8_MMA_AVAILABLE
diff --git a/ggml/src/iqk/iqk_quantize.cpp b/ggml/src/iqk/iqk_quantize.cpp
index b9e9d775..65cd1c3e 100644
--- a/ggml/src/iqk/iqk_quantize.cpp
+++ b/ggml/src/iqk/iqk_quantize.cpp
@@ -7419,18 +7419,19 @@ public:
     inline float find_best_inverse_scale(const float * xb, const float * weight, const int * best_idx) const;
 
     static inline void set_values(uint32_t i, float * result, float scale, int offset = 4096) {
-        constexpr uint32_t ka = 89226354;
-        constexpr uint32_t kb = 64248484;
         uint32_t x = i + offset;
         if constexpr (is_int) {
+            constexpr uint32_t ka = 0xCBAC1FED;
             uint32_t s;
             auto i8 = (const int8_t *)&s;
             for (int k = 0; k < kGroupSize; ++k) {
-                x = ka*x + kb;
+                x = ka*x;
                 s = x & 0x3f3f3f3f;
                 result[k] = scale*(i8[0] + i8[1] + i8[2] + i8[3] - 126.f);
             }
         } else {
+            constexpr uint32_t ka = 89226354;
+            constexpr uint32_t kb = 64248484;
             constexpr uint32_t kmask = 0x8fff8fff;
             constexpr uint32_t km32 = 0x3b603b60;
             for (int k = 0; k < kGroupSize; ++k) {