Your task is to convert a given C code SIMD to WASM SIMD. Here is an example of another function:

```c
void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
    assert(n % QK_K == 0);
    assert(nrc == 1);
    UNUSED(nrc);
    UNUSED(bx);
    UNUSED(by);
    UNUSED(bs);

    const block_q4_K * restrict x = vx;
    const block_q8_K * restrict y = vy;

    const int nb = n / QK_K;

    static const uint32_t kmask1 = 0x3f3f3f3f;
    static const uint32_t kmask2 = 0x0f0f0f0f;
    static const uint32_t kmask3 = 0x03030303;

    uint32_t utmp[4];

#ifdef __ARM_NEON
    const uint8x16_t m4b = vdupq_n_u8(0xf);
    const int32x4_t mzero = vdupq_n_s32(0);

    ggml_int8x16x2_t q4bytes;
    ggml_int8x16x2_t q8bytes;

    float sumf = 0;

    for (int i = 0; i < nb; ++i) {

        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
        const float dmin = y[i].d * GGML_FP16_TO_FP32(x[i].dmin);

        const int16x8_t q8sums = vpaddq_s16(vld1q_s16(y[i].bsums), vld1q_s16(y[i].bsums + 8));

        memcpy(utmp, x[i].scales, 12);

        uint32x2_t mins8 = { 0 };
        mins8 = vset_lane_u32(utmp[1] & kmask1, mins8, 0);
        mins8 = vset_lane_u32(((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4), mins8, 1);

        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
        utmp[0] &= kmask1;

        const int16x8_t mins = vreinterpretq_s16_u16(vmovl_u8(vreinterpret_u8_u32(mins8)));
        const int32x4_t prod = vaddq_s32(vmull_s16(vget_low_s16 (q8sums), vget_low_s16 (mins)),
                                         vmull_s16(vget_high_s16(q8sums), vget_high_s16(mins)));
        sumf -= dmin * vaddvq_s32(prod);

        const uint8_t * scales = (const uint8_t *)utmp;

        const uint8_t * restrict q4 = x[i].qs;
        const int8_t  * restrict q8 = y[i].qs;

        int32_t sumi1 = 0;
        int32_t sumi2 = 0;

        for (int j = 0; j < QK_K/64; ++j) {
            const ggml_uint8x16x2_t q4bits = ggml_vld1q_u8_x2(q4); q4 += 32;

            q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32;
            q4bytes.val[0] = vreinterpretq_s8_u8(vandq_u8  (q4bits.val[0], m4b));
            q4bytes.val[1] = vreinterpretq_s8_u8(vandq_u8  (q4bits.val[1], m4b));

            const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]);
            sumi1 += vaddvq_s32(p1) * scales[2*j+0];

            q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32;
            q4bytes.val[0] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[0], 4));
            q4bytes.val[1] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[1], 4));

            const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]);

            sumi2 += vaddvq_s32(p2) * scales[2*j+1];
        }

        sumf += d * (sumi1 + sumi2);

    }

    *s = sumf;

#elif defined(__wasm_simd128__)
    // WASM SIMD128 implementation
    const uint8_t * scales = (const uint8_t*)&utmp[0];
    float sumf = 0;

    for (int i = 0; i < nb; ++i) {
        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
        const float dmin = y[i].d * GGML_FP16_TO_FP32(x[i].dmin); // Corrected sign

        const uint8_t * restrict q4 = x[i].qs;
        const int8_t  * restrict q8 = y[i].qs;

        // Process scales and mins
        memcpy(utmp, x[i].scales, 12);
        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
        const uint32_t uaux = utmp[1] & kmask1;
        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
        utmp[2] = uaux;
        utmp[0] &= kmask1;

        // Sum mins * q8sums
        int32_t sumi = 0;
        const int16_t * restrict q8sums = y[i].bsums;
        const uint8_t * m = (const uint8_t *)&utmp[2];
        for (int j = 0; j < 16; j += 2) {
            sumi += (q8sums[j] + q8sums[j+1]) * m[j/2];
        }
        sumf -= dmin * sumi;

        int32_t sumi1 = 0;
        int32_t sumi2 = 0;

        for (int j = 0; j < QK_K/64; ++j) {
            // Load 64 4-bit weights (32 bytes)
            const v128_t q4x0 = wasm_v128_load(q4);
            const v128_t q4x1 = wasm_v128_load(q4 + 16);
            q4 += 32;

            // Split into low/high nibbles
            const v128_t q4l0 = wasm_v128_and(q4x0, wasm_i8x16_splat(0x0F));
            const v128_t q4h0 = wasm_u8x16_shr(q4x0, 4);
            const v128_t q4l1 = wasm_v128_and(q4x1, wasm_i8x16_splat(0x0F));
            const v128_t q4h1 = wasm_u8x16_shr(q4x1, 4);

            // Load 64 8-bit values (64 bytes)
            const v128_t q8x0 = wasm_v128_load(q8);
            const v128_t q8x1 = wasm_v128_load(q8 + 16);
            const v128_t q8x2 = wasm_v128_load(q8 + 32);
            const v128_t q8x3 = wasm_v128_load(q8 + 48);
            q8 += 64;

            // Low nibble products
            v128_t vacc1 = wasm_i32x4_dot_i16x8(
                wasm_i16x8_extend_low_i8x16(q4l0),
                wasm_i16x8_extend_low_i8x16(q8x0)
            );
            vacc1 = wasm_i32x4_add(vacc1, wasm_i32x4_dot_i16x8(
                wasm_i16x8_extend_high_i8x16(q4l0),
                wasm_i16x8_extend_high_i8x16(q8x0)
            ));
            vacc1 = wasm_i32x4_add(vacc1, wasm_i32x4_dot_i16x8(
                wasm_i16x8_extend_low_i8x16(q4l1),
                wasm_i16x8_extend_low_i8x16(q8x1)
            ));
            vacc1 = wasm_i32x4_add(vacc1, wasm_i32x4_dot_i16x8(
                wasm_i16x8_extend_high_i8x16(q4l1),
                wasm_i16x8_extend_high_i8x16(q8x1)
            ));

            // High nibble products
            v128_t vacc2 = wasm_i32x4_dot_i16x8(
                wasm_i16x8_extend_low_i8x16(q4h0),
                wasm_i16x8_extend_low_i8x16(q8x2)
            );
            vacc2 = wasm_i32x4_add(vacc2, wasm_i32x4_dot_i16x8(
                wasm_i16x8_extend_high_i8x16(q4h0),
                wasm_i16x8_extend_high_i8x16(q8x2)
            ));
            vacc2 = wasm_i32x4_add(vacc2, wasm_i32x4_dot_i16x8(
                wasm_i16x8_extend_low_i8x16(q4h1),
                wasm_i16x8_extend_low_i8x16(q8x3)
            ));
            vacc2 = wasm_i32x4_add(vacc2, wasm_i32x4_dot_i16x8(
                wasm_i16x8_extend_high_i8x16(q4h1),
                wasm_i16x8_extend_high_i8x16(q8x3)
            ));

            // Accumulate scaled results
            int32_t vacc1_sum = wasm_i32x4_extract_lane(vacc1, 0) + wasm_i32x4_extract_lane(vacc1, 1) +
                                wasm_i32x4_extract_lane(vacc1, 2) + wasm_i32x4_extract_lane(vacc1, 3);
            sumi1 += vacc1_sum * scales[2*j];

            int32_t vacc2_sum = wasm_i32x4_extract_lane(vacc2, 0) + wasm_i32x4_extract_lane(vacc2, 1) +
                                wasm_i32x4_extract_lane(vacc2, 2) + wasm_i32x4_extract_lane(vacc2, 3);
            sumi2 += vacc2_sum * scales[2*j+1];
        }

        sumf += d * (sumi1 + sumi2);
    }

    *s = sumf;

#elif defined __AVX__

    const __m128i m4 = _mm_set1_epi8(0xF);
    const __m128i m2 = _mm_set1_epi8(0x2);

    __m256 acc = _mm256_setzero_ps();
    __m128 acc_m = _mm_setzero_ps();

   for (int i = 0; i < nb; ++i) {

        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
        const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);

        const uint8_t * restrict q4 = x[i].qs;
        const int8_t  * restrict q8 = y[i].qs;

        memcpy(utmp, x[i].scales, 12);
        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
        const uint32_t uaux = utmp[1] & kmask1;
        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
        utmp[2] = uaux;
        utmp[0] &= kmask1;

        const __m128i utmps = _mm_set_epi32(utmp[3], utmp[2], utmp[1], utmp[0]);
        const __m128i scales = _mm_cvtepu8_epi16(utmps);
        const __m128i mins = _mm_cvtepu8_epi16(_mm_unpackhi_epi64(utmps, utmps));

        const __m128i q8sums_0 = _mm_loadu_si128((const __m128i*)&y[i].bsums[0]);
        const __m128i q8sums_1 = _mm_loadu_si128((const __m128i*)&y[i].bsums[8]);
        const __m128i q8s = _mm_hadd_epi16(q8sums_0, q8sums_1);
        const __m128i prod = _mm_madd_epi16(mins, q8s);
        acc_m = _mm_add_ps(_mm_mul_ps(_mm_set1_ps(dmin), _mm_cvtepi32_ps(prod)), acc_m);

        __m128i sumi_0 = _mm_setzero_si128();
        __m128i sumi_1 = _mm_setzero_si128();

        __m128i shuffle = _mm_set1_epi16(0x0100);
        for (int j = 0; j < QK_K/64; ++j) {

            const __m128i scale_l = _mm_shuffle_epi8(scales, shuffle);
            shuffle = _mm_add_epi16(shuffle, m2);
            const __m128i scale_h = _mm_shuffle_epi8(scales, shuffle);
            shuffle = _mm_add_epi16(shuffle, m2);

            __m128i q4bits = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
            const __m128i q4l_0 = _mm_and_si128(q4bits, m4);
            const __m128i q4h_0 = _mm_and_si128(_mm_srli_epi16(q4bits, 4), m4);
            q4bits = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
            const __m128i q4l_1 = _mm_and_si128(q4bits, m4);
            const __m128i q4h_1 = _mm_and_si128(_mm_srli_epi16(q4bits, 4), m4);

            const __m128i q8l_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            __m128i p16l = _mm_maddubs_epi16(q4l_0, q8l_0);
            p16l = _mm_madd_epi16(scale_l, p16l);
            sumi_0 = _mm_add_epi32(sumi_0, p16l);
            const __m128i q8l_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            p16l = _mm_maddubs_epi16(q4l_1, q8l_1);
            p16l = _mm_madd_epi16(scale_l, p16l);
            sumi_1 = _mm_add_epi32(sumi_1, p16l);

            const __m128i q8h_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            __m128i p16h = _mm_maddubs_epi16(q4h_0, q8h_0);
            p16h = _mm_madd_epi16(scale_h, p16h);
            sumi_0 = _mm_add_epi32(sumi_0, p16h);
            const __m128i q8h_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            p16h = _mm_maddubs_epi16(q4h_1, q8h_1);
            p16h = _mm_madd_epi16(scale_h, p16h);
            sumi_1 = _mm_add_epi32(sumi_1, p16h);

        }

        __m256 vd = _mm256_set1_ps(d);
        __m256i sumi = MM256_SET_M128I(sumi_1, sumi_0);
        acc = _mm256_add_ps(_mm256_mul_ps(vd, _mm256_cvtepi32_ps(sumi)), acc);

    }

    acc_m = _mm_add_ps(acc_m, _mm_movehl_ps(acc_m, acc_m));
    acc_m = _mm_add_ss(acc_m, _mm_movehdup_ps(acc_m));

    *s = hsum_float_8(acc) + _mm_cvtss_f32(acc_m);

#else

    const uint8_t * scales = (const uint8_t*)&utmp[0];
    const uint8_t * mins   = (const uint8_t*)&utmp[2];

    int8_t  aux8[QK_K];
    int16_t aux16[8];
    float   sums [8];
    int32_t aux32[8];
    memset(sums, 0, 8*sizeof(float));

    float sumf = 0;
    for (int i = 0; i < nb; ++i) {
        const uint8_t * restrict q4 = x[i].qs;
        const  int8_t * restrict q8 = y[i].qs;
        memset(aux32, 0, 8*sizeof(int32_t));
        int8_t * restrict a = aux8;
        for (int j = 0; j < QK_K/64; ++j) {
            for (int l = 0; l < 32; ++l) a[l] = (int8_t)(q4[l] & 0xF);
            a += 32;
            for (int l = 0; l < 32; ++l) a[l] = (int8_t)(q4[l]  >> 4);
            a += 32; q4 += 32;
        }
        memcpy(utmp, x[i].scales, 12);
        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
        const uint32_t uaux = utmp[1] & kmask1;
        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
        utmp[2] = uaux;
        utmp[0] &= kmask1;

        int sumi = 0;
        for (int j = 0; j < QK_K/16; ++j) sumi += y[i].bsums[j] * mins[j/2];
        a = aux8;
        int is = 0;
        for (int j = 0; j < QK_K/32; ++j) {
            int32_t scale = scales[is++];
            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
            for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
            q8 += 8; a += 8;
            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
            for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
            q8 += 8; a += 8;
            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
            for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
            q8 += 8; a += 8;
            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
            for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
            q8 += 8; a += 8;
        }
        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
        for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
        const float dmin = GGML_FP16_TO_FP32(x[i].dmin) * y[i].d;
        sumf -= dmin * sumi;
    }
    for (int l = 0; l < 8; ++l) sumf += sums[l];
    *s = sumf;
#endif
}
````


Here is a function. You need to convert it to WASM SIMD.


```c
void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
    assert(n % QK_K == 0);
    assert(nrc == 1);
    UNUSED(nrc);
    UNUSED(bx);
    UNUSED(by);
    UNUSED(bs);

    const block_q6_K * restrict x = vx;
    const block_q8_K * restrict y = vy;

    const int nb = n / QK_K;

#ifdef __ARM_NEON
    float sum = 0;

    const uint8x16_t m4b = vdupq_n_u8(0xF);
    const int32x4_t  vzero = vdupq_n_s32(0);
    //const int8x16_t  m32s = vdupq_n_s8(32);

    const uint8x16_t mone = vdupq_n_u8(3);

    ggml_int8x16x4_t q6bytes;
    ggml_uint8x16x4_t q6h;

    for (int i = 0; i < nb; ++i) {

        const float d_all = GGML_FP16_TO_FP32(x[i].d);

        const uint8_t * restrict q6 = x[i].ql;
        const uint8_t * restrict qh = x[i].qh;
        const int8_t  * restrict q8 = y[i].qs;

        const int8_t * restrict scale = x[i].scales;

        const ggml_int16x8x2_t q8sums = ggml_vld1q_s16_x2(y[i].bsums);
        const int8x16_t scales = vld1q_s8(scale);
        const ggml_int16x8x2_t q6scales = {{vmovl_s8(vget_low_s8(scales)), vmovl_s8(vget_high_s8(scales))}};

        const int32x4_t prod = vaddq_s32(vaddq_s32(vmull_s16(vget_low_s16 (q8sums.val[0]), vget_low_s16 (q6scales.val[0])),
                                                   vmull_s16(vget_high_s16(q8sums.val[0]), vget_high_s16(q6scales.val[0]))),
                                         vaddq_s32(vmull_s16(vget_low_s16 (q8sums.val[1]), vget_low_s16 (q6scales.val[1])),
                                                   vmull_s16(vget_high_s16(q8sums.val[1]), vget_high_s16(q6scales.val[1]))));
        int32_t isum_mins = vaddvq_s32(prod);

        int32_t isum = 0;

        for (int j = 0; j < QK_K/128; ++j) {

            ggml_uint8x16x2_t qhbits = ggml_vld1q_u8_x2(qh); qh += 32;
            ggml_uint8x16x4_t q6bits = ggml_vld1q_u8_x4(q6); q6 += 64;
            ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8); q8 += 64;

            q6h.val[0] = vshlq_n_u8(vandq_u8(mone, qhbits.val[0]), 4);
            q6h.val[1] = vshlq_n_u8(vandq_u8(mone, qhbits.val[1]), 4);
            uint8x16_t shifted = vshrq_n_u8(qhbits.val[0], 2);
            q6h.val[2] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
            shifted = vshrq_n_u8(qhbits.val[1], 2);
            q6h.val[3] = vshlq_n_u8(vandq_u8(mone, shifted), 4);

            q6bytes.val[0] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[0], m4b), q6h.val[0]));
            q6bytes.val[1] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[1], m4b), q6h.val[1]));
            q6bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[2], m4b), q6h.val[2]));
            q6bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[3], m4b), q6h.val[3]));

            isum += vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] +
                    vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] +
                    vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] +
                    vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3];

            scale += 4;

            q8bytes = ggml_vld1q_s8_x4(q8); q8 += 64;

            shifted = vshrq_n_u8(qhbits.val[0], 4);
            q6h.val[0] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
            shifted = vshrq_n_u8(qhbits.val[1], 4);
            q6h.val[1] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
            shifted = vshrq_n_u8(qhbits.val[0], 6);
            q6h.val[2] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
            shifted = vshrq_n_u8(qhbits.val[1], 6);
            q6h.val[3] = vshlq_n_u8(vandq_u8(mone, shifted), 4);

            q6bytes.val[0] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[0], 4), q6h.val[0]));
            q6bytes.val[1] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[1], 4), q6h.val[1]));
            q6bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[2], 4), q6h.val[2]));
            q6bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[3], 4), q6h.val[3]));

            isum += vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] +
                    vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] +
                    vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] +
                    vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3];
            scale += 4;
        }
        //sum += isum * d_all * y[i].d;
        sum += d_all * y[i].d * (isum - 32 * isum_mins);

    }
    *s = sum;

#elif defined __AVX__

    const __m128i m3 = _mm_set1_epi8(3);
    const __m128i m15 = _mm_set1_epi8(15);

    __m256 acc = _mm256_setzero_ps();

    for (int i = 0; i < nb; ++i) {

        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);

        const uint8_t * restrict q4 = x[i].ql;
        const uint8_t * restrict qh = x[i].qh;
        const int8_t  * restrict q8 = y[i].qs;

        // handle the q6_k -32 offset separately using bsums
        const __m128i q8sums_0 = _mm_loadu_si128((const __m128i*)y[i].bsums);
        const __m128i q8sums_1 = _mm_loadu_si128((const __m128i*)y[i].bsums + 1);
        const __m128i scales = _mm_loadu_si128((const __m128i*)x[i].scales);
        const __m128i scales_16_0 = _mm_cvtepi8_epi16(scales);
        const __m128i scales_16_1 = _mm_cvtepi8_epi16(_mm_bsrli_si128(scales, 8));
        const __m128i q8sclsub_0 = _mm_slli_epi32(_mm_madd_epi16(q8sums_0, scales_16_0), 5);
        const __m128i q8sclsub_1 = _mm_slli_epi32(_mm_madd_epi16(q8sums_1, scales_16_1), 5);

        __m128i sumi_0 = _mm_setzero_si128();
        __m128i sumi_1 = _mm_setzero_si128();

        int is = 0;

        for (int j = 0; j < QK_K/128; ++j) {

            const __m128i q4bitsH_0 = _mm_loadu_si128((const __m128i*)qh); qh += 16;
            const __m128i q4bitsH_1 = _mm_loadu_si128((const __m128i*)qh); qh += 16;

            const __m128i q4h_0 = _mm_slli_epi16(_mm_and_si128(q4bitsH_0, m3), 4);
            const __m128i q4h_1 = _mm_slli_epi16(_mm_and_si128(q4bitsH_1, m3), 4);
            const __m128i q4h_2 = _mm_slli_epi16(_mm_and_si128(q4bitsH_0, _mm_set1_epi8(12)), 2);
            const __m128i q4h_3 = _mm_slli_epi16(_mm_and_si128(q4bitsH_1, _mm_set1_epi8(12)), 2);
            const __m128i q4h_4 = _mm_and_si128(q4bitsH_0, _mm_set1_epi8(48));
            const __m128i q4h_5 = _mm_and_si128(q4bitsH_1, _mm_set1_epi8(48));
            const __m128i q4h_6 = _mm_srli_epi16(_mm_and_si128(q4bitsH_0, _mm_set1_epi8(-64)), 2);
            const __m128i q4h_7 = _mm_srli_epi16(_mm_and_si128(q4bitsH_1, _mm_set1_epi8(-64)), 2);

            const __m128i q4bits1_0 = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
            const __m128i q4bits1_1 = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
            const __m128i q4bits2_0 = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
            const __m128i q4bits2_1 = _mm_loadu_si128((const __m128i*)q4); q4 += 16;

            const __m128i q4_0 = _mm_or_si128(_mm_and_si128(q4bits1_0, m15), q4h_0);
            const __m128i q4_1 = _mm_or_si128(_mm_and_si128(q4bits1_1, m15), q4h_1);
            const __m128i q4_2 = _mm_or_si128(_mm_and_si128(q4bits2_0, m15), q4h_2);
            const __m128i q4_3 = _mm_or_si128(_mm_and_si128(q4bits2_1, m15), q4h_3);
            const __m128i q4_4 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(q4bits1_0, 4), m15), q4h_4);
            const __m128i q4_5 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(q4bits1_1, 4), m15), q4h_5);
            const __m128i q4_6 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(q4bits2_0, 4), m15), q4h_6);
            const __m128i q4_7 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(q4bits2_1, 4), m15), q4h_7);

            const __m128i q8_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            const __m128i q8_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            const __m128i q8_2 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            const __m128i q8_3 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            const __m128i q8_4 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            const __m128i q8_5 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            const __m128i q8_6 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
            const __m128i q8_7 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;

            __m128i p16_0 = _mm_maddubs_epi16(q4_0, q8_0);
            __m128i p16_1 = _mm_maddubs_epi16(q4_1, q8_1);
            __m128i p16_2 = _mm_maddubs_epi16(q4_2, q8_2);
            __m128i p16_3 = _mm_maddubs_epi16(q4_3, q8_3);
            __m128i p16_4 = _mm_maddubs_epi16(q4_4, q8_4);
            __m128i p16_5 = _mm_maddubs_epi16(q4_5, q8_5);
            __m128i p16_6 = _mm_maddubs_epi16(q4_6, q8_6);
            __m128i p16_7 = _mm_maddubs_epi16(q4_7, q8_7);

            const __m128i scale_0 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 0));
            const __m128i scale_1 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 1));
            const __m128i scale_2 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 2));
            const __m128i scale_3 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 3));
            is += 4;

            p16_0 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_0), p16_0);
            p16_1 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_bsrli_si128(scale_0, 8)), p16_1);
            p16_2 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_1), p16_2);
            p16_3 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_bsrli_si128(scale_1, 8)), p16_3);
            p16_4 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_2), p16_4);
            p16_5 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_bsrli_si128(scale_2, 8)), p16_5);
            p16_6 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_3), p16_6);
            p16_7 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_bsrli_si128(scale_3, 8)), p16_7);

            sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p16_0, p16_2));
            sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p16_1, p16_3));
            sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p16_4, p16_6));
            sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p16_5, p16_7));

        }

        sumi_0 = _mm_sub_epi32(sumi_0, q8sclsub_0);
        sumi_1 = _mm_sub_epi32(sumi_1, q8sclsub_1);
        const __m256i sumi = MM256_SET_M128I(sumi_1, sumi_0);
        acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(sumi)), acc);
    }

    *s = hsum_float_8(acc);

#else

    int8_t  aux8[QK_K];
    int16_t aux16[8];
    float   sums [8];
    int32_t aux32[8];
    memset(sums, 0, 8*sizeof(float));

    float sumf = 0;
    for (int i = 0; i < nb; ++i) {
        const uint8_t * restrict q4 = x[i].ql;
        const uint8_t * restrict qh = x[i].qh;
        const  int8_t * restrict q8 = y[i].qs;
        memset(aux32, 0, 8*sizeof(int32_t));
        int8_t * restrict a = aux8;
        for (int j = 0; j < QK_K; j += 128) {
            for (int l = 0; l < 32; ++l) {
                a[l +  0] = (int8_t)((q4[l +  0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32;
                a[l + 32] = (int8_t)((q4[l + 32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32;
                a[l + 64] = (int8_t)((q4[l +  0] >>  4) | (((qh[l] >> 4) & 3) << 4)) - 32;
                a[l + 96] = (int8_t)((q4[l + 32] >>  4) | (((qh[l] >> 6) & 3) << 4)) - 32;
            }
            a  += 128;
            q4 += 64;
            qh += 32;
        }
        a = aux8;
        int is = 0;
        for (int j = 0; j < QK_K/16; ++j) {
            int scale = x[i].scales[is++];
            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
            for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
            q8 += 8; a += 8;
            for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
            for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
            q8 += 8; a += 8;
        }
        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
        for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
    }
    for (int l = 0; l < 8; ++l) sumf += sums[l];
    *s = sumf;
#endif
}
```

You must start your code with `#elif defined(__wasm_simd128__)`

To think about it, you need to take into account both the refenrence code from ARM NEON and AVX implementation.