IQ3_K_R4 (#145)

* iq3_k_r4 WIP

* iq3_k_r4: Zen4

* iq3_k_r4: AVX2

* iq3_k_r4: NEON

* iq3_k_r4: faster matrix x vector multiplication on NEON

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>

6 files changed, 461 insertions, 36 deletions

diff --git a/ggml/src/ggml-common.h b/ggml/src/ggml-common.h
index d77ba12c..ca56704c 100644
--- a/ggml/src/ggml-common.h
+++ b/ggml/src/ggml-common.h
@@ -539,6 +539,16 @@ typedef struct {
 static_assert(sizeof(block_iq3_k) == sizeof(ggml_half) + 2*sizeof(uint16_t) + QK_K/32 + QK_K/4 + QK_K/8, "wrong iq3_k block size/padding");
 
 typedef struct {
+    ggml_half d[4];
+    uint8_t extra[8];
+    uint8_t scales_h[QK_K/32];
+    uint8_t scales_l[QK_K/8];
+    uint8_t qs[QK_K];
+    uint8_t qh[QK_K/2];
+} block_iq3_k_r4;
+static_assert(sizeof(block_iq3_k_r4) == 4*sizeof(block_iq3_k), "wrong iq3_k_r4 block size/padding");
+
+typedef struct {
     ggml_half d;
     uint16_t extra;
     uint8_t  scales_h[QK_K/64];
diff --git a/ggml/src/ggml-quants.c b/ggml/src/ggml-quants.c
index 0b157295..1d022672 100644
--- a/ggml/src/ggml-quants.c
+++ b/ggml/src/ggml-quants.c
@@ -15207,6 +15207,7 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
         case GGML_TYPE_Q4_K_R4: break;
         case GGML_TYPE_Q5_K_R4: break;
         case GGML_TYPE_Q6_K_R4: break;
+        case GGML_TYPE_IQ3_K_R4: break;
         case GGML_TYPE_IQ4_K_R4: break;
         case GGML_TYPE_Q8_K_R8: break;
         case GGML_TYPE_BF16_R16: break;
diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c
index 51ef6eb2..4194d943 100644
--- a/ggml/src/ggml.c
+++ b/ggml/src/ggml.c
@@ -1360,6 +1360,19 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
         .nrows                    = 1,
         .row_meta_size            = 0,
     },
+    [GGML_TYPE_IQ3_K_R4] = {
+        .type_name                = "iq3_k_r4",
+        .blck_size                = QK_K,
+        .type_size                = sizeof(block_iq3_k),
+        .is_quantized             = true,
+        .to_float                 = (ggml_to_float_t) dequantize_row_iq3_k_r4,
+        .from_float               = quantize_row_iq3_k_r4,
+        .from_float_ref           = (ggml_from_float_t)quantize_row_iq3_k_r4_ref,
+        .vec_dot                  = vec_dot_iq3_k_r4_q8_k,
+        .vec_dot_type             = GGML_TYPE_Q8_K,
+        .nrows                    = 1,
+        .row_meta_size            = 0,
+    },
     [GGML_TYPE_IQ5_K] = {
         .type_name                = "iq5_k",
         .blck_size                = QK_K,
@@ -4163,6 +4176,7 @@ enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype) {
         case GGML_FTYPE_MOSTLY_IQ2_KS:        wtype = GGML_TYPE_IQ2_KS;   break;
         case GGML_FTYPE_MOSTLY_IQ3_K:         wtype = GGML_TYPE_IQ3_K;    break;
         case GGML_FTYPE_MOSTLY_IQ4_K:         wtype = GGML_TYPE_IQ4_K;    break;
+        case GGML_FTYPE_MOSTLY_IQ3_K_R4:      wtype = GGML_TYPE_IQ3_K_R4; break;
         case GGML_FTYPE_MOSTLY_IQ4_K_R4:      wtype = GGML_TYPE_IQ4_K_R4; break;
         case GGML_FTYPE_MOSTLY_IQ5_K:         wtype = GGML_TYPE_IQ5_K;    break;
         case GGML_FTYPE_MOSTLY_IQ6_K:         wtype = GGML_TYPE_IQ6_K;    break;
@@ -10700,6 +10714,7 @@ static void ggml_compute_forward_add(
         case GGML_TYPE_IQ2_KS:
         case GGML_TYPE_IQ3_K:
         case GGML_TYPE_IQ4_K:
+        case GGML_TYPE_IQ3_K_R4:
         case GGML_TYPE_IQ4_K_R4:
         case GGML_TYPE_IQ5_K:
         case GGML_TYPE_IQ6_K:
@@ -11156,6 +11171,7 @@ static void ggml_compute_forward_add1(
         case GGML_TYPE_IQ2_KS:
         case GGML_TYPE_IQ3_K:
         case GGML_TYPE_IQ4_K:
+        case GGML_TYPE_IQ3_K_R4:
         case GGML_TYPE_IQ4_K_R4:
         case GGML_TYPE_IQ5_K:
         case GGML_TYPE_IQ6_K:
@@ -11309,6 +11325,7 @@ static void ggml_compute_forward_acc(
         case GGML_TYPE_IQ2_KS:
         case GGML_TYPE_IQ3_K:
         case GGML_TYPE_IQ4_K:
+        case GGML_TYPE_IQ3_K_R4:
         case GGML_TYPE_IQ4_K_R4:
         case GGML_TYPE_IQ5_K:
         case GGML_TYPE_IQ6_K:
@@ -14508,6 +14525,7 @@ static void ggml_compute_forward_out_prod(
         case GGML_TYPE_IQ2_KS:
         case GGML_TYPE_IQ3_K:
         case GGML_TYPE_IQ4_K:
+        case GGML_TYPE_IQ3_K_R4:
         case GGML_TYPE_IQ4_K_R4:
         case GGML_TYPE_IQ5_K:
         case GGML_TYPE_IQ6_K:
@@ -14901,6 +14919,7 @@ static void ggml_compute_forward_set(
         case GGML_TYPE_IQ2_KS:
         case GGML_TYPE_IQ3_K:
         case GGML_TYPE_IQ4_K:
+        case GGML_TYPE_IQ3_K_R4:
         case GGML_TYPE_IQ4_K_R4:
         case GGML_TYPE_IQ5_K:
         case GGML_TYPE_IQ6_K:
@@ -15188,6 +15207,7 @@ static void ggml_compute_forward_get_rows(
         case GGML_TYPE_IQ2_KS:
         case GGML_TYPE_IQ3_K:
         case GGML_TYPE_IQ4_K:
+        case GGML_TYPE_IQ3_K_R4:
         case GGML_TYPE_IQ4_K_R4:
         case GGML_TYPE_IQ5_K:
         case GGML_TYPE_IQ6_K:
@@ -15804,6 +15824,7 @@ static void ggml_compute_forward_clamp(
         case GGML_TYPE_IQ2_KS:
         case GGML_TYPE_IQ3_K:
         case GGML_TYPE_IQ4_K:
+        case GGML_TYPE_IQ3_K_R4:
         case GGML_TYPE_IQ4_K_R4:
         case GGML_TYPE_IQ5_K:
         case GGML_TYPE_IQ6_K:
@@ -22648,6 +22669,7 @@ size_t ggml_quantize_chunk(
         case GGML_TYPE_IQ2_KS:  result = quantize_iq2_ks (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ3_K:   result = quantize_iq3_k  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ4_K:   result = quantize_iq4_k  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_IQ3_K_R4:result = quantize_iq3_k_r4(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ4_K_R4:result = quantize_iq4_k_r4(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ5_K:   result = quantize_iq5_k  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ6_K:   result = quantize_iq6_k  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
diff --git a/ggml/src/iqk/iqk_mul_mat.cpp b/ggml/src/iqk/iqk_mul_mat.cpp
index e74a15f0..bcf96c0a 100644
--- a/ggml/src/iqk/iqk_mul_mat.cpp
+++ b/ggml/src/iqk/iqk_mul_mat.cpp
@@ -182,6 +182,7 @@ struct MulMat {
             case GGML_TYPE_Q8_0_R4:
             case GGML_TYPE_IQ4_NL_R4:
             case GGML_TYPE_IQ4_XS_R4:
+            case GGML_TYPE_IQ3_K_R4:
             case GGML_TYPE_IQ4_K_R4:
             case GGML_TYPE_IQ2_BN_R4: return 4;
             case GGML_TYPE_Q8_K_R8: return 8;
@@ -3957,6 +3958,119 @@ static void mul_mat_bf16_r16_bf16(int n, const void * vx, size_t bx, const DataI
 #endif
 
 template <int nrc_y>
+static void mul_mat_iq3_k_r4_q8_k(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
+    GGML_ASSERT(nrc_x%4 == 0);
+    Q8<nrc_y, block_q8_K> q8(info);
+    auto m4 = _mm256_set1_epi8(0xf);
+    auto ms  = _mm256_set1_epi8(8);
+    auto m03 = _mm256_set1_epi8(0x03);
+    auto m04 = _mm256_set1_epi8(0x04);
+    auto smask = _mm256_set_epi64x(0x0808080808080808, 0x0404040404040404, 0x0202020202020202, 0x0101010101010101);
+    auto shift_shuffle = _mm256_set_epi64x(0x0707070706060606, 0x0505050504040404, 0x0303030302020202, 0x0101010100000000);
+    auto values128 = _mm_loadu_si128((const __m128i *)iq3nl_values);
+    auto values = MM256_SET_M128I(values128, values128);
+    values = _mm256_add_epi8(values, _mm256_set1_epi8(64));
+    static const uint8_t k_shuff[32] = {0, 1, 8, 9, 2, 3, 10, 11, 4, 5, 12, 13, 6, 7, 14, 15, 0, 1, 8, 9, 2, 3, 10, 11, 4, 5, 12, 13, 6, 7, 14, 15};
+    auto shuff = _mm256_loadu_si256((const __m256i *)k_shuff);
+#ifndef HAVE_FANCY_SIMD
+    auto s_shuffle = _mm256_set_epi64x(0x0f0e0f0e0d0c0d0c, 0x0b0a0b0a09080908, 0x0706070605040504, 0x0302030201000100);
+#endif
+    int nbl = n / QK_K;
+    __m256  acc[nrc_y] = {};
+    __m256i qx[4];
+    uint64_t stored_scales[8];
+    for (int ix = 0; ix < nrc_x; ix += 4) {
+        const block_iq3_k_r4 * iq3 = (const block_iq3_k_r4 *)((const char *)vx + (ix+0)*bx);
+        for (int ibl = 0; ibl < nbl; ++ibl) { // Block of 256
+            auto dl = _mm_cvtph_ps(_mm_loadl_epi64((const __m128i *)iq3[ibl].d));
+            auto d4 = _mm256_set_m128(dl, dl);
+            auto extra = _mm256_set1_epi64x(*(const uint64_t *)iq3[ibl].extra);
+            auto slbits = _mm256_loadu_si256((const __m256i *)iq3[ibl].scales_l);
+            auto sl1 = _mm256_add_epi8(_mm256_slli_epi16(_mm256_and_si256(slbits, m4), 1), _mm256_set1_epi8(1));
+            auto sl2 = _mm256_add_epi8(_mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(slbits, 4), m4), 1), _mm256_set1_epi8(1));
+            auto sh = _mm256_set1_epi64x(((const uint64_t *)iq3[ibl].scales_h)[0]);
+            auto sh1 = _mm256_or_si256(_mm256_cmpeq_epi8(_mm256_and_si256(sh, smask), smask), _mm256_set1_epi8(1));
+            auto sh2 = _mm256_or_si256(_mm256_cmpeq_epi8(_mm256_and_si256(_mm256_srli_epi16(sh, 4), smask), smask), _mm256_set1_epi8(1));
+            auto i8scales1 = _mm256_sign_epi8(sl1, sh1);
+            auto i8scales2 = _mm256_sign_epi8(sl2, sh2);
+            _mm256_storeu_si256((__m256i *)stored_scales+0, i8scales1);
+            _mm256_storeu_si256((__m256i *)stored_scales+1, i8scales2);
+            __m256i isum[nrc_y] = {};
+            {
+                auto t1 = _mm256_shuffle_epi8(_mm256_cvtepi8_epi16(_mm256_extracti128_si256(i8scales1, 0)), shuff); // blocks  0,  1,  2,  3 for each row
+                auto t2 = _mm256_shuffle_epi8(_mm256_cvtepi8_epi16(_mm256_extracti128_si256(i8scales1, 1)), shuff); // blocks  4,  5,  6,  7 for each row
+                auto t3 = _mm256_shuffle_epi8(_mm256_cvtepi8_epi16(_mm256_extracti128_si256(i8scales2, 0)), shuff); // blocks  8,  9, 10, 11 for each row
+                auto t4 = _mm256_shuffle_epi8(_mm256_cvtepi8_epi16(_mm256_extracti128_si256(i8scales2, 1)), shuff); // blocks 12, 13, 14, 15 for each row
+                auto s1 = _mm256_mullo_epi16(_mm256_set1_epi16(-64), MM256_SET_M128I(_mm256_extracti128_si256(t3, 0), _mm256_extracti128_si256(t1, 0))); // blocks 0, 1,  8, 9
+                auto s2 = _mm256_mullo_epi16(_mm256_set1_epi16(-64), MM256_SET_M128I(_mm256_extracti128_si256(t3, 1), _mm256_extracti128_si256(t1, 1))); // blocks 2, 3, 10, 11
+                auto s3 = _mm256_mullo_epi16(_mm256_set1_epi16(-64), MM256_SET_M128I(_mm256_extracti128_si256(t4, 0), _mm256_extracti128_si256(t2, 0))); // blocks 4, 5, 12, 13
+                auto s4 = _mm256_mullo_epi16(_mm256_set1_epi16(-64), MM256_SET_M128I(_mm256_extracti128_si256(t4, 1), _mm256_extracti128_si256(t2, 1))); // blocks 6, 7, 14, 15
+                for (int iy = 0; iy < nrc_y; ++iy) {
+                    auto bsums = q8.load_bsums(iy, ibl);
+#ifdef HAVE_FANCY_SIMD
+                    isum[iy] = _mm256_dpwssd_epi32(isum[iy], s1, _mm256_shuffle_epi32(bsums, 0x00));
+                    isum[iy] = _mm256_dpwssd_epi32(isum[iy], s2, _mm256_shuffle_epi32(bsums, 0x55));
+                    isum[iy] = _mm256_dpwssd_epi32(isum[iy], s3, _mm256_shuffle_epi32(bsums, 0xaa));
+                    isum[iy] = _mm256_dpwssd_epi32(isum[iy], s4, _mm256_shuffle_epi32(bsums, 0xff));
+#else
+                    isum[iy] = _mm256_add_epi32(isum[iy], _mm256_madd_epi16(s1, _mm256_shuffle_epi32(bsums, 0x00)));
+                    isum[iy] = _mm256_add_epi32(isum[iy], _mm256_madd_epi16(s2, _mm256_shuffle_epi32(bsums, 0x55)));
+                    isum[iy] = _mm256_add_epi32(isum[iy], _mm256_madd_epi16(s3, _mm256_shuffle_epi32(bsums, 0xaa)));
+                    isum[iy] = _mm256_add_epi32(isum[iy], _mm256_madd_epi16(s4, _mm256_shuffle_epi32(bsums, 0xff)));
+#endif
+                }
+            }
+            for (int ib = 0; ib < QK_K/32; ++ib) {
+#ifdef HAVE_FANCY_SIMD
+                auto scales = _mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i *)(stored_scales + ib)));
+#else
+                auto scales = _mm256_shuffle_epi8(_mm256_cvtepi8_epi16(_mm_set1_epi64x(stored_scales[ib])), s_shuffle);
+#endif
+                auto lb = _mm256_loadu_si256((const __m256i *)iq3[ibl].qs+ib);
+                auto hbits = _mm_loadu_si128((const __m128i *)iq3[ibl].qh+ib);
+                auto hb = MM256_SET_M128I(hbits, _mm_slli_epi16(hbits, 4));
+                auto shift = _mm256_and_si256(ms, _mm256_slli_epi16(extra, 3)); extra = _mm256_srli_epi16(extra, 1);
+                shift = _mm256_shuffle_epi8(shift, shift_shuffle);
+                qx[0] = _mm256_or_si256(_mm256_and_si256(lb, m03),                       _mm256_and_si256(m04, _mm256_srli_epi16(hb, 2)));
+                qx[1] = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(lb, 2), m03), _mm256_and_si256(m04, _mm256_srli_epi16(hb, 3)));
+                qx[2] = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(lb, 4), m03), _mm256_and_si256(m04, _mm256_srli_epi16(hb, 4)));
+                qx[3] = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(lb, 6), m03), _mm256_and_si256(m04, _mm256_srli_epi16(hb, 5)));
+                qx[0] = _mm256_shuffle_epi8(values, _mm256_add_epi8(qx[0], shift));
+                qx[1] = _mm256_shuffle_epi8(values, _mm256_add_epi8(qx[1], shift));
+                qx[2] = _mm256_shuffle_epi8(values, _mm256_add_epi8(qx[2], shift));
+                qx[3] = _mm256_shuffle_epi8(values, _mm256_add_epi8(qx[3], shift));
+                for (int iy = 0; iy < nrc_y; ++iy) {
+                    auto y = _mm256_loadu_si256((const __m256i*)q8.y[iy][ibl].qs+ib);
+#ifdef HAVE_FANCY_SIMD
+                    auto sumi = _mm256_setzero_si256();
+                    sumi = _mm256_dpbusd_epi32(sumi, qx[0], _mm256_shuffle_epi32(y, 0x00));
+                    sumi = _mm256_dpbusd_epi32(sumi, qx[1], _mm256_shuffle_epi32(y, 0x55));
+                    sumi = _mm256_dpbusd_epi32(sumi, qx[2], _mm256_shuffle_epi32(y, 0xaa));
+                    sumi = _mm256_dpbusd_epi32(sumi, qx[3], _mm256_shuffle_epi32(y, 0xff));
+                    isum[iy] = _mm256_add_epi32(isum[iy], _mm256_mullo_epi32(scales, sumi));
+#else
+                    auto sumi1 = _mm256_maddubs_epi16(qx[0], _mm256_shuffle_epi32(y, 0x00));
+                    auto sumi2 = _mm256_maddubs_epi16(qx[1], _mm256_shuffle_epi32(y, 0x55));
+                    auto sumi3 = _mm256_maddubs_epi16(qx[2], _mm256_shuffle_epi32(y, 0xaa));
+                    auto sumi4 = _mm256_maddubs_epi16(qx[3], _mm256_shuffle_epi32(y, 0xff));
+                    isum[iy] = _mm256_add_epi32(isum[iy], _mm256_add_epi32(_mm256_madd_epi16(scales, sumi1), _mm256_madd_epi16(scales, sumi2)));
+                    isum[iy] = _mm256_add_epi32(isum[iy], _mm256_add_epi32(_mm256_madd_epi16(scales, sumi3), _mm256_madd_epi16(scales, sumi4)));
+#endif
+                }
+            }
+            for (int iy = 0; iy < nrc_y; ++iy) {
+                acc[iy] = _mm256_fmadd_ps(_mm256_mul_ps(d4, _mm256_set1_ps(q8.scale(iy, ibl))), _mm256_cvtepi32_ps(isum[iy]), acc[iy]);
+            }
+        }
+        for (int iy = 0; iy < nrc_y; ++iy) {
+            auto sum = _mm_add_ps(_mm256_castps256_ps128(acc[iy]), _mm256_extractf128_ps(acc[iy], 1));
+            acc[iy] = _mm256_setzero_ps();
+            info.store(ix+0, iy, sum);
+        }
+    }
+}
+
+template <int nrc_y>
 static void mul_mat_iq4_k_r4_q8_k(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
     GGML_ASSERT(nrc_x%4 == 0);
     Q8<nrc_y, block_q8_K> q8(info);
@@ -6167,6 +6281,18 @@ bool MulMat::prepare(int typeA, int typeB, int ne00, MulMat& mm, int Ny) {
             mm.funcs[7] = mul_mat_iq4_k_r4_q8_k<8>;
             expected_typeB = GGML_TYPE_Q8_K;
             break;
+        case GGML_TYPE_IQ3_K_R4:
+            assert (ne00 % QK_K == 0);
+            mm.funcs[0] = mul_mat_iq3_k_r4_q8_k<1>;
+            mm.funcs[1] = mul_mat_iq3_k_r4_q8_k<2>;
+            mm.funcs[2] = mul_mat_iq3_k_r4_q8_k<3>;
+            mm.funcs[3] = mul_mat_iq3_k_r4_q8_k<4>;
+            mm.funcs[4] = mul_mat_iq3_k_r4_q8_k<5>;
+            mm.funcs[5] = mul_mat_iq3_k_r4_q8_k<6>;
+            mm.funcs[6] = mul_mat_iq3_k_r4_q8_k<7>;
+            mm.funcs[7] = mul_mat_iq3_k_r4_q8_k<8>;
+            expected_typeB = GGML_TYPE_Q8_K;
+            break;
         case GGML_TYPE_Q4_0_R4:
             assert (ne00 % QK4_NL == 0);
             mm.funcs[0] = mul_mat_q4_0_r4_q8_1<1>;
@@ -8844,6 +8970,161 @@ void mul_mat_iq4_xs_r4_q8_k(int n, const void * vx, size_t bx, const DataInfo& i
 }
 
 template <int nrc_y>
+inline void iq3_4_add_shift(int ibl, const Q8<nrc_y, block_q8_K>& q8, const int8x16x4_t& i8scales, uint8x16_t extra,
+        uint8x16_t ms, int32x4_t * isum) {
+    auto s8_1 = vmulq_s8(i8scales.val[0], vandq_u8(ms, vshlq_n_u8(extra, 2)));
+    auto s8_2 = vmulq_s8(i8scales.val[1], vandq_u8(ms, extra));
+    auto s16_1 = vmovl_s8(vget_low_s8 (s8_1));
+    auto s16_2 = vmovl_s8(vget_high_s8(s8_1));
+    auto s16_3 = vmovl_s8(vget_low_s8 (s8_2));
+    auto s16_4 = vmovl_s8(vget_high_s8(s8_2));
+    for (int iy = 0; iy < nrc_y; ++iy) {
+        auto b8 = vld1_s16(q8.y[iy][ibl].bsums);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_1), b8, 0);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_1), b8, 1);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_2), b8, 2);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_2), b8, 3);
+        b8 = vld1_s16(q8.y[iy][ibl].bsums+4);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_3), b8, 0);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_3), b8, 1);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_4), b8, 2);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_4), b8, 3);
+    }
+    s8_1 = vmulq_s8(i8scales.val[2], vandq_u8(ms, vshrq_n_u8(extra, 2)));
+    s8_2 = vmulq_s8(i8scales.val[3], vandq_u8(ms, vshrq_n_u8(extra, 4)));
+    s16_1 = vmovl_s8(vget_low_s8 (s8_1));
+    s16_2 = vmovl_s8(vget_high_s8(s8_1));
+    s16_3 = vmovl_s8(vget_low_s8 (s8_2));
+    s16_4 = vmovl_s8(vget_high_s8(s8_2));
+    for (int iy = 0; iy < nrc_y; ++iy) {
+        auto b8 = vld1_s16(q8.y[iy][ibl].bsums+8);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_1), b8, 0);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_1), b8, 1);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_2), b8, 2);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_2), b8, 3);
+        b8 = vld1_s16(q8.y[iy][ibl].bsums+12);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_3), b8, 0);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_3), b8, 1);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_4), b8, 2);
+        isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_4), b8, 3);
+    }
+}
+
+template <int nrc_y>
+void mul_mat_iq3_k_r4_q8_k(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
+    GGML_ASSERT(nrc_x%4 == 0);
+    Q8<nrc_y, block_q8_K> q8(info);
+    auto m4 = vdupq_n_u8(0xf);
+    auto ms = nrc_y == 1 ? vdupq_n_u8(4) : vdupq_n_u8(8);
+    auto m03 = vdupq_n_u8(0x03);
+    auto m04 = vdupq_n_u8(0x04);
+    uint8x16x2_t shift_shuffle = {
+        vreinterpretq_u8_u64(uint64x2_t{0x0101010100000000, 0x0303030302020202}),
+        vreinterpretq_u8_u64(uint64x2_t{0x0505050504040404, 0x0707070706060606})
+    };
+    uint8x16x2_t smask = { vcombine_u8(vdup_n_u8(1), vdup_n_u8(2)), vcombine_u8(vdup_n_u8(4), vdup_n_u8(8)) };
+    auto values = vld1q_s8(iq3nl_values);
+    int nbl = n / QK_K;
+    int8x16_t qx[4];
+    int8x16x4_t i8scales;
+    int16x8x4_t i16scales;
+    float32x4_t acc[nrc_y] = {};
+    for (int ix = 0; ix < nrc_x; ix += 4) {
+        const block_iq3_k_r4 * iq3 = (const block_iq3_k_r4 *)((const char *)vx + ix*bx);
+        for (int ibl = 0; ibl < nbl; ++ibl) {
+            auto d4 = vcvt_f32_f16(vld1_f16((const float16_t *)iq3[ibl].d));
+            auto extra8 = vld1_u8(iq3[ibl].extra);
+            uint8x16_t extra;
+            if constexpr (nrc_y == 1) {
+                extra = vcombine_u8(extra8, vshr_n_u8(extra8,1));
+            } else {
+                extra = vcombine_u8(extra8, extra8);
+            }
+            auto sl = vld1q_u8_x2(iq3[ibl].scales_l);
+            auto sh8 = vld1_u8(iq3[ibl].scales_h);
+            auto sh = vcombine_u8(sh8, sh8);
+            i8scales.val[0] = vaddq_s8(vshlq_n_u8(vandq_u8(sl.val[0],  m4), 1), vdupq_n_s8(1));
+            i8scales.val[1] = vaddq_s8(vshlq_n_u8(vandq_u8(sl.val[1],  m4), 1), vdupq_n_s8(1));
+            i8scales.val[2] = vaddq_s8(vshlq_n_u8(vshrq_n_u8(sl.val[0], 4), 1), vdupq_n_s8(1));
+            i8scales.val[3] = vaddq_s8(vshlq_n_u8(vshrq_n_u8(sl.val[1], 4), 1), vdupq_n_s8(1));
+            i8scales.val[0] = vmulq_s8(i8scales.val[0], vorrq_u8(vceqq_u8(vandq_u8(sh, smask.val[0]), smask.val[0]), vdupq_n_u8(1)));
+            i8scales.val[1] = vmulq_s8(i8scales.val[1], vorrq_u8(vceqq_u8(vandq_u8(sh, smask.val[1]), smask.val[1]), vdupq_n_u8(1)));
+            sh = vshrq_n_u8(sh, 4);
+            i8scales.val[2] = vmulq_s8(i8scales.val[2], vorrq_u8(vceqq_u8(vandq_u8(sh, smask.val[0]), smask.val[0]), vdupq_n_u8(1)));
+            i8scales.val[3] = vmulq_s8(i8scales.val[3], vorrq_u8(vceqq_u8(vandq_u8(sh, smask.val[1]), smask.val[1]), vdupq_n_u8(1)));
+            int32x4_t isum[nrc_y] = {};
+            if constexpr (nrc_y == 1) {
+                iq3_4_add_shift(ibl, q8, i8scales, extra, ms, isum);
+            }
+            for (int is = 0; is < 2; ++is) {
+                i16scales.val[0] = vmovl_s8(vget_low_s8 (i8scales.val[2*is+0]));
+                i16scales.val[1] = vmovl_s8(vget_high_s8(i8scales.val[2*is+0]));
+                i16scales.val[2] = vmovl_s8(vget_low_s8 (i8scales.val[2*is+1]));
+                i16scales.val[3] = vmovl_s8(vget_high_s8(i8scales.val[2*is+1]));
+                for (int ib = 0; ib < 4; ++ib) {
+                    auto scales = vmovl_s16(vget_low_s16 (i16scales.val[ib]));
+                    auto lbits = vld1q_u8_x2(iq3[ibl].qs + 128*is + 32*ib);
+                    auto hbits = vld1q_u8(iq3[ibl].qh + 64*is + 16*ib);
+                    qx[0] = vorrq_u8(vandq_u8(           lbits.val[0],     m03), vandq_u8(m04, vshlq_n_u8(hbits, 2)));
+                    qx[1] = vorrq_u8(vandq_u8(vshrq_n_u8(lbits.val[0], 2), m03), vandq_u8(m04, vshlq_n_u8(hbits, 1)));
+                    qx[2] = vorrq_u8(vandq_u8(vshrq_n_u8(lbits.val[0], 4), m03), vandq_u8(m04, hbits));
+                    qx[3] = vorrq_u8(vandq_u8(vshrq_n_u8(lbits.val[0], 6), m03), vandq_u8(m04, vshrq_n_u8(hbits, 1)));
+                    uint8x16_t shifts;
+                    if constexpr (nrc_y == 1) {
+                        qx[0] = vqtbl1q_s8(values, qx[0]);  //  0...3 from the 4 rows
+                        qx[1] = vqtbl1q_s8(values, qx[1]);  //  4...7
+                        qx[2] = vqtbl1q_s8(values, qx[2]);  //  8..11
+                        qx[3] = vqtbl1q_s8(values, qx[3]);  // 12..15
+                    } else {
+                        shifts = vandq_u8(ms, vshlq_n_u8(extra, 3));
+                        auto shift = vqtbl1q_u8(shifts, shift_shuffle.val[0]);
+                        extra = vshrq_n_u8(extra, 1);
+                        qx[0] = vqtbl1q_s8(values, vaddq_u8(shift, qx[0]));  //  0...3 from the 4 rows
+                        qx[1] = vqtbl1q_s8(values, vaddq_u8(shift, qx[1]));  //  4...7
+                        qx[2] = vqtbl1q_s8(values, vaddq_u8(shift, qx[2]));  //  8..11
+                        qx[3] = vqtbl1q_s8(values, vaddq_u8(shift, qx[3]));  // 12..15
+                    }
+                    for (int iy = 0; iy < nrc_y; ++iy) {
+                        auto y = vld1q_s8(q8.y[iy][ibl].qs+128*is+32*ib);
+                        auto sumi = interleaved_dotq(qx, y);
+                        isum[iy] = vmlaq_s32(isum[iy], scales, sumi);
+                    }
+                    qx[0] = vorrq_u8(vandq_u8(           lbits.val[1],     m03), vandq_u8(m04, vshrq_n_u8(hbits, 2)));
+                    qx[1] = vorrq_u8(vandq_u8(vshrq_n_u8(lbits.val[1], 2), m03), vandq_u8(m04, vshrq_n_u8(hbits, 3)));
+                    qx[2] = vorrq_u8(vandq_u8(vshrq_n_u8(lbits.val[1], 4), m03), vandq_u8(m04, vshrq_n_u8(hbits, 4)));
+                    qx[3] = vorrq_u8(vandq_u8(vshrq_n_u8(lbits.val[1], 6), m03), vandq_u8(m04, vshrq_n_u8(hbits, 5)));
+                    if constexpr (nrc_y == 1) {
+                        qx[0] = vqtbl1q_s8(values, qx[0]);  //  0...3 from the 4 rows
+                        qx[1] = vqtbl1q_s8(values, qx[1]);  //  4...7
+                        qx[2] = vqtbl1q_s8(values, qx[2]);  //  8..11
+                        qx[3] = vqtbl1q_s8(values, qx[3]);  // 12..15
+                    } else {
+                        auto shift = vqtbl1q_u8(shifts, shift_shuffle.val[1]);
+                        qx[0] = vqtbl1q_s8(values, vaddq_u8(shift, qx[0]));  //  0...3 from the 4 rows
+                        qx[1] = vqtbl1q_s8(values, vaddq_u8(shift, qx[1]));  //  4...7
+                        qx[2] = vqtbl1q_s8(values, vaddq_u8(shift, qx[2]));  //  8..11
+                        qx[3] = vqtbl1q_s8(values, vaddq_u8(shift, qx[3]));  // 12..15
+                    }
+                    scales = vmovl_s16(vget_high_s16(i16scales.val[ib]));
+                    for (int iy = 0; iy < nrc_y; ++iy) {
+                        auto y = vld1q_s8(q8.y[iy][ibl].qs+128*is+32*ib+16);
+                        auto sumi = interleaved_dotq(qx, y);
+                        isum[iy] = vmlaq_s32(isum[iy], scales, sumi);
+                    }
+                }
+            }
+            for (int iy = 0; iy < nrc_y; ++iy) {
+                acc[iy] = vfmaq_f32(acc[iy], vmulq_f32(d4, vdupq_n_f32(q8.scale(iy, ibl))), vcvtq_f32_s32(isum[iy]));
+            }
+        }
+        for (int iy = 0; iy < nrc_y; ++iy) {
+            info.store(ix, iy, acc[iy]);
+            acc[iy] = vdupq_n_f32(0.f);
+        }
+    }
+}
+
+template <int nrc_y>
 void mul_mat_iq4_k_r4_q8_k(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
     GGML_ASSERT(nrc_x%4 == 0);
     Q8<nrc_y, block_q8_K> q8(info);
@@ -8880,42 +9161,7 @@ void mul_mat_iq4_k_r4_q8_k(int n, const void * vx, size_t bx, const DataInfo& in
             i8scales.val[3] = vaddq_s8(vorrq_u8(vshrq_n_u8(sl.val[1], 4), vandq_u8(vshrq_n_u8(sh, 2), m3)), m32);
             int32x4_t isum[nrc_y] = {};
             if constexpr (nrc_y == 1) {
-                auto s8_1 = vmulq_s8(i8scales.val[0], vandq_u8(ms, vshlq_n_u8(extra, 2)));
-                auto s8_2 = vmulq_s8(i8scales.val[1], vandq_u8(ms, extra));
-                auto s16_1 = vmovl_s8(vget_low_s8 (s8_1));
-                auto s16_2 = vmovl_s8(vget_high_s8(s8_1));
-                auto s16_3 = vmovl_s8(vget_low_s8 (s8_2));
-                auto s16_4 = vmovl_s8(vget_high_s8(s8_2));
-                for (int iy = 0; iy < nrc_y; ++iy) {
-                    auto b8 = vld1_s16(q8.y[iy][ibl].bsums);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_1), b8, 0);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_1), b8, 1);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_2), b8, 2);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_2), b8, 3);
-                    b8 = vld1_s16(q8.y[iy][ibl].bsums+4);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_3), b8, 0);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_3), b8, 1);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_4), b8, 2);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_4), b8, 3);
-                }
-                s8_1 = vmulq_s8(i8scales.val[2], vandq_u8(ms, vshrq_n_u8(extra, 2)));
-                s8_2 = vmulq_s8(i8scales.val[3], vandq_u8(ms, vshrq_n_u8(extra, 4)));
-                s16_1 = vmovl_s8(vget_low_s8 (s8_1));
-                s16_2 = vmovl_s8(vget_high_s8(s8_1));
-                s16_3 = vmovl_s8(vget_low_s8 (s8_2));
-                s16_4 = vmovl_s8(vget_high_s8(s8_2));
-                for (int iy = 0; iy < nrc_y; ++iy) {
-                    auto b8 = vld1_s16(q8.y[iy][ibl].bsums+8);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_1), b8, 0);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_1), b8, 1);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_2), b8, 2);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_2), b8, 3);
-                    b8 = vld1_s16(q8.y[iy][ibl].bsums+12);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_3), b8, 0);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_3), b8, 1);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_low_s16 (s16_4), b8, 2);
-                    isum[iy] = vmlal_lane_s16(isum[iy], vget_high_s16(s16_4), b8, 3);
-                }
+                iq3_4_add_shift(ibl, q8, i8scales, extra, ms, isum);
             }
             for (int is = 0; is < 2; ++is) {
                 i16scales.val[0] = vmovl_s8(vget_low_s8 (i8scales.val[2*is+0]));
@@ -9803,6 +10049,10 @@ bool MulMat::prepare(int typeA, int typeB, int ne00, MulMat& m, int /*Ny*/) {
             SET_MUL_MAT_FUNCTIONS(m, mul_mat_q8_k_r8_q8_k);
             expected_Btype = GGML_TYPE_Q8_KR8;
             break;
+        case GGML_TYPE_IQ3_K_R4:
+            SET_MUL_MAT_FUNCTIONS(m, mul_mat_iq3_k_r4_q8_k);
+            expected_Btype = GGML_TYPE_Q8_K;
+            break;
         case GGML_TYPE_IQ4_K_R4:
             SET_MUL_MAT_FUNCTIONS(m, mul_mat_iq4_k_r4_q8_k);
             expected_Btype = GGML_TYPE_Q8_K;
diff --git a/ggml/src/iqk/iqk_quantize.cpp b/ggml/src/iqk/iqk_quantize.cpp
index abe81858..373a15bb 100644
--- a/ggml/src/iqk/iqk_quantize.cpp
+++ b/ggml/src/iqk/iqk_quantize.cpp
@@ -4795,3 +4795,139 @@ void repack_bf16_bf16_r16(const void * GGML_RESTRICT src, void * GGML_RESTRICT d
     repack_bf16(nrows, n_per_row, (const ggml_bf16_t *)src, (ggml_bf16_t *)dst);
 }
 
+//
+// ========================================= iq3_k_r4
+//
+
+void quantize_row_iq3_k_r4_ref(const float * x, block_iq3_k_r4 * y, int64_t k) {
+    quantize_iq3_k_r4(x, (void *)y, 4, k/4, nullptr);
+}
+
+void quantize_row_iq3_k_r4(const float * x, void * y, int64_t k) {
+    quantize_iq3_k_r4(x, y, 4, k/4, nullptr);
+}
+
+namespace {
+inline void convert_iq3_k(const block_iq3_k& x, uint8_t * L) {
+    const uint8_t * qs = x.qs;
+    const uint8_t * qh = x.qh;
+    for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
+        int shift_l = 2*(ib32%4);
+        int shift_h = ib32%8;
+        for (int j = 0; j < 16; ++j) {
+            L[j+ 0] = ((qs[j+ 0] >> shift_l) & 3) | (((qh[j+ 0] >> shift_h) & 1) << 2);
+            L[j+16] = ((qs[j+16] >> shift_l) & 3) | (((qh[j+16] >> shift_h) & 1) << 2);
+        }
+        L += 32;
+        if (shift_l == 6) qs += 32;
+    }
+}
+}
+
+static void repack_iq3_k(int nrows, int n_per_row, const block_iq3_k * x, block_iq3_k_r4 * y) {
+    GGML_ASSERT(nrows%4 == 0);
+    GGML_ASSERT(n_per_row%QK_K == 0);
+    int nblock = n_per_row/QK_K;
+    const block_iq3_k * x4[4];
+    uint8_t L[QK_K];
+    for (int row = 0; row < nrows; row += 4) {
+        for (int k = 0; k < 4; ++k) x4[k] = x + nblock*k;
+        for (int ibl = 0; ibl < nblock; ++ibl) {
+            std::memset(y[ibl].extra, 0, 8);
+            std::memset(y[ibl].scales_l, 0, QK_K/8);
+            std::memset(y[ibl].scales_h, 0, QK_K/32);
+            for (int k = 0; k < 4; ++k) {
+                y[ibl].d[k] = x4[k][ibl].d;
+                auto extra = x4[k][ibl].extra;
+                uint16_t sh  = x4[k][ibl].scales_h;
+                convert_iq3_k(x4[k][ibl], L);
+                for (int ib = 0; ib < QK_K/32; ++ib) {
+                    if (extra & 1) y[ibl].extra[k+0] |= (1 << ib);
+                    if (extra & 2) y[ibl].extra[k+4] |= (1 << ib);
+                    extra >>= 2;
+                    uint8_t sl1 = x4[k][ibl].scales_l[ib] & 0xf;
+                    uint8_t sl2 = x4[k][ibl].scales_l[ib] >>  4;
+                    uint8_t sh1 = (sh >> 0) & 1;
+                    uint8_t sh2 = (sh >> 1) & 1;
+                    sh >>= 2;
+                    int i = 8*ib + k;
+                    y[ibl].scales_l[i%32] |= (sl1 << 4*(i/32));
+                    y[ibl].scales_h[i%8 ] |= (sh1 << (i/8));
+                    i += 4;
+                    y[ibl].scales_l[i%32] |= (sl2 << 4*(i/32));
+                    y[ibl].scales_h[i%8 ] |= (sh2 << (i/8));
+                    for (int i = 0; i < 4; ++i) {
+                        y[ibl].qs[32*ib+4*k+i+ 0] = ((L[32*ib+i+ 0] & 0x3) << 0) | ((L[32*ib+i+ 4] & 0x3) << 2) | ((L[32*ib+i+ 8] & 0x3) << 4) | ((L[32*ib+i+12] & 0x3) << 6);
+                        y[ibl].qs[32*ib+4*k+i+16] = ((L[32*ib+i+16] & 0x3) << 0) | ((L[32*ib+i+20] & 0x3) << 2) | ((L[32*ib+i+24] & 0x3) << 4) | ((L[32*ib+i+28] & 0x3) << 6);
+                        y[ibl].qh[16*ib+4*k+i+ 0] = ((L[32*ib+i+ 0]  >> 2) << 0) | ((L[32*ib+i+ 4]  >> 2) << 1) | ((L[32*ib+i+ 8]  >> 2) << 2) | ((L[32*ib+i+12]  >> 2) << 3)
+                                                  | ((L[32*ib+i+16]  >> 2) << 4) | ((L[32*ib+i+20]  >> 2) << 5) | ((L[32*ib+i+24]  >> 2) << 6) | ((L[32*ib+i+28]  >> 2) << 7);
+                    }
+                }
+            }
+        }
+        x += 4*nblock;
+        y += nblock;
+    }
+}
+
+size_t quantize_iq3_k_r4(const float * src, void * dst, int64_t nrows, int64_t n_per_row, const float * imatrix) {
+    GGML_ASSERT(nrows%4 == 0);
+    GGML_ASSERT(n_per_row%QK_K == 0);
+    char * qcur = (char *)dst;
+    auto row_size = ggml_row_size(GGML_TYPE_IQ3_K, n_per_row);
+    std::vector<char> qtmp(4*row_size);
+    for (int row = 0; row < nrows; row += 4) {
+        quantize_iq3_k(src, (void *)qtmp.data(), 4, n_per_row, imatrix);
+        repack_iq3_k(4, n_per_row, (const block_iq3_k *)qtmp.data(), (block_iq3_k_r4 *)qcur);
+        qcur += 4*row_size;
+        src += 4*n_per_row;
+    }
+    return nrows*row_size;
+}
+
+void dequantize_row_iq3_k_r4(const block_iq3_k_r4 * x, float * y, int64_t k) {
+    auto n_per_row = k/4;
+    float * y4[4] = {y, y + n_per_row, y + 2*n_per_row, y + 3*n_per_row};
+    int nblock = n_per_row/QK_K;
+    for (int ibl = 0; ibl < nblock; ++ibl) {
+        for (int k = 0; k < 4; ++k) {
+            const float d = GGML_FP16_TO_FP32(x[ibl].d[k]);
+            auto ql = x[ibl].qs;
+            auto qh = x[ibl].qh;
+            for (int ib = 0; ib < QK_K/32; ++ib) {
+                int is = 8*ib + k;
+                float dl1 = d * (2*((x[ibl].scales_l[is%32] >> 4*(is/32)) & 0xf) + 1) * ((x[ibl].scales_h[is%8] >> (is/8)) & 1 ? -1 : 1);
+                is += 4;
+                float dl2 = d * (2*((x[ibl].scales_l[is%32] >> 4*(is/32)) & 0xf) + 1) * ((x[ibl].scales_h[is%8] >> (is/8)) & 1 ? -1 : 1);
+                auto values1 = iq3nl_values + (x[ibl].extra[k+0] & (1 << ib) ? 8 : 0);
+                auto values2 = iq3nl_values + (x[ibl].extra[k+4] & (1 << ib) ? 8 : 0);
+                for (int i = 0; i < 4; ++i) {
+                    y4[k][QK_K*ibl+32*ib+i+ 0] = dl1 * values1[((ql[4*k+i+ 0] >> 0) & 3) | ((qh[4*k+i] << 2) & 4)];
+                    y4[k][QK_K*ibl+32*ib+i+ 4] = dl1 * values1[((ql[4*k+i+ 0] >> 2) & 3) | ((qh[4*k+i] << 1) & 4)];
+                    y4[k][QK_K*ibl+32*ib+i+ 8] = dl1 * values1[((ql[4*k+i+ 0] >> 4) & 3) | ((qh[4*k+i] << 0) & 4)];
+                    y4[k][QK_K*ibl+32*ib+i+12] = dl1 * values1[((ql[4*k+i+ 0] >> 6) & 3) | ((qh[4*k+i] >> 1) & 4)];
+                    y4[k][QK_K*ibl+32*ib+i+16] = dl2 * values2[((ql[4*k+i+16] >> 0) & 3) | ((qh[4*k+i] >> 2) & 4)];
+                    y4[k][QK_K*ibl+32*ib+i+20] = dl2 * values2[((ql[4*k+i+16] >> 2) & 3) | ((qh[4*k+i] >> 3) & 4)];
+                    y4[k][QK_K*ibl+32*ib+i+24] = dl2 * values2[((ql[4*k+i+16] >> 4) & 3) | ((qh[4*k+i] >> 4) & 4)];
+                    y4[k][QK_K*ibl+32*ib+i+28] = dl2 * values2[((ql[4*k+i+16] >> 6) & 3) | ((qh[4*k+i] >> 5) & 4)];
+                }
+                ql += 32;
+                qh += 16;
+            }
+        }
+    }
+}
+
+void vec_dot_iq3_k_r4_q8_k(int n, float * s, size_t bs, const void * vx, size_t bx, const void * vy, size_t by, int nrc) {
+#if GGML_USE_IQK_MULMAT
+    if (iqk_mul_mat(1, 1, n, GGML_TYPE_IQ3_K_R4, vx, 0, GGML_TYPE_Q8_K, vy, 0, s, 0, 0, 1)) {
+        return;
+    }
+#endif
+    GGML_ASSERT(n%QK4_NL == 0);
+    GGML_ASSERT(nrc == 1);
+    GGML_UNUSED(bs);
+    GGML_UNUSED(bx);
+    GGML_UNUSED(by);
+}
+
diff --git a/ggml/src/iqk/iqk_quantize.h b/ggml/src/iqk/iqk_quantize.h
index e8721a5e..1ca66bd8 100644
--- a/ggml/src/iqk/iqk_quantize.h
+++ b/ggml/src/iqk/iqk_quantize.h
@@ -145,6 +145,12 @@ size_t quantize_iq4_k_r4(const float * GGML_RESTRICT src, void * GGML_RESTRICT d
 void   dequantize_row_iq4_k_r4(const block_iq4_k_r4  * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 void   vec_dot_iq4_k_r4_q8_k(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 
+void   quantize_row_iq3_k_r4_ref(const float * GGML_RESTRICT x, block_iq3_k_r4  * GGML_RESTRICT y, int64_t k);
+void   quantize_row_iq3_k_r4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
+size_t quantize_iq3_k_r4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
+void   dequantize_row_iq3_k_r4(const block_iq3_k_r4  * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
+void   vec_dot_iq3_k_r4_q8_k(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
+
 void   quantize_row_q8_k_r8_ref(const float * GGML_RESTRICT x, block_q8_k_r8  * GGML_RESTRICT y, int64_t k);
 void   quantize_row_q8_k_r8(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 size_t quantize_q8_k_r8(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);