diff --git a/ggml/src/ggml-cuda/iqk_mmvq.cu b/ggml/src/ggml-cuda/iqk_mmvq.cu
index 136c8ebd..8093428e 100644
--- a/ggml/src/ggml-cuda/iqk_mmvq.cu
+++ b/ggml/src/ggml-cuda/iqk_mmvq.cu
@@ -476,42 +476,43 @@ __device__ __forceinline__ void vec_dot_iq5_ks_q8_1(
 __device__ __forceinline__ void vec_dot_iq3_k_r4_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs, float * result) {
 
-    return;
-
-    const block_iq5_k_r4 * bq5 = (const block_iq5_k_r4 *)vbq + kbx;
+    const block_iq3_k_r4 * bq3 = (const block_iq3_k_r4 *)vbq + kbx;
 
     // iqs is 0...28 in steps of 2
     const int ib16 = iqs/2;
     const float d8 = __low2float(bq8_1[ib16/2].ds);
     const int32_t  * q8 = (const int *)bq8_1[ib16/2].qs + 4*(ib16%2);
 
+    // (8*ib32 + i)%32
+    // (8*ib32 + i)%8: ib32=0->i, ib32=i
     int ib32 = ib16/2;
     int is   = ib16%2;
-    int scales;
-    const uint32_t * scales_l = (const uint32_t *)bq5->scales_l;
-    const uint32_t * scales_h = (const uint32_t *)bq5->scales_h;
-    scales = __vsub4(((scales_l[2*(ib32%4)+is] >> 4*(ib32/4)) & 0x0f0f0f0f) | (((scales_h[2*(ib32%2)+is] >> 2*(ib32/2)) & 0x03030303) << 4), 0x20202020);
+    int scales[2];
+    const uint32_t * scales_l = (const uint32_t *)bq3->scales_l;
+    const uint32_t * scales_h = (const uint32_t *)bq3->scales_h;
+    scales[0] = (((scales_l[2*(ib32%4)+is] >> 4*(ib32/4)) & 0x0f0f0f0f) << 1) | 0x01010101;
+    scales[1] = (scales_h[is] >> ib32) & 0x01010101;
     const int8_t * s8 = (const int8_t *)&scales;
     int2 val1;
-    const int * q4 = (const int *)bq5->qs + 16*ib32;
-    const int * qh = (const int *)bq5->qh +  4*ib32;
+    const int * q2 = (const int *)bq3->qs + 8*ib32;
+    const int * qh = (const int *)bq3->qh + 4*ib32;
     int aux32[2];
     const uint8_t * aux8 = (const uint8_t *)aux32;
     for (int i = 0; i < 4; ++i) {
-        auto values1 = iq5nl_values + (((bq5->extra[i+4*is] >> ib32) & 1) << 5);
+        auto values1 = iq3nl_values + (((bq3->extra[i+4*is] >> ib32) & 1) << 3);
         int sumi1 = 0;
-        aux32[0] = ((q4[i+4*is+0] >> 0) & 0x0f0f0f0f) | (((qh[i] >> (2*is+0)) & 0x01010101) << 4);
-        aux32[1] = ((q4[i+4*is+0] >> 4) & 0x0f0f0f0f) | (((qh[i] >> (2*is+1)) & 0x01010101) << 4);
+        aux32[0] = ((q2[i+4*is] >> 0) & 0x03030303) | (((qh[i] >> (4*is+0)) & 0x01010101) << 2);
+        aux32[1] = ((q2[i+4*is] >> 2) & 0x03030303) | (((qh[i] >> (4*is+1)) & 0x01010101) << 2);
         val1.x  = int_from_table(aux8+0, (const uint8_t *)values1);
         val1.y  = int_from_table(aux8+4, (const uint8_t *)values1);
-        sumi1 = ggml_cuda_dp4a(val1.x, q8[0], ggml_cuda_dp4a(val1.y, q8[2], sumi1));
-        aux32[0] = ((q4[i+4*is+8] >> 0) & 0x0f0f0f0f) | (((qh[i] >> (2*is+4)) & 0x01010101) << 4);
-        aux32[1] = ((q4[i+4*is+8] >> 4) & 0x0f0f0f0f) | (((qh[i] >> (2*is+5)) & 0x01010101) << 4);
+        sumi1 = ggml_cuda_dp4a(val1.x, q8[0], ggml_cuda_dp4a(val1.y, q8[1], sumi1));
+        aux32[0] = ((q2[i+4*is] >> 4) & 0x03030303) | (((qh[i] >> (4*is+2)) & 0x01010101) << 2);
+        aux32[1] = ((q2[i+4*is] >> 6) & 0x03030303) | (((qh[i] >> (4*is+3)) & 0x01010101) << 2);
         val1.x  = int_from_table(aux8+0, (const uint8_t *)values1);
         val1.y  = int_from_table(aux8+4, (const uint8_t *)values1);
-        sumi1 = ggml_cuda_dp4a(val1.x, q8[1], ggml_cuda_dp4a(val1.y, q8[3], sumi1));
-        const float d = __half2float(bq5->d[i]) * d8;
-        result[i] += d * sumi1 * s8[i];
+        sumi1 = ggml_cuda_dp4a(val1.x, q8[2], ggml_cuda_dp4a(val1.y, q8[3], sumi1));
+        const float d = __half2float(bq3->d[i]) * d8;
+        result[i] += d * sumi1 * s8[i] * (s8[i+4] ? -1 : 1);
     }
 }