diff --git a/candle-core/src/quantized/k_quants.rs b/candle-core/src/quantized/k_quants.rs
index a0fe455c6d..e0218c34ec 100644
--- a/candle-core/src/quantized/k_quants.rs
+++ b/candle-core/src/quantized/k_quants.rs
@@ -606,6 +606,9 @@ impl GgmlType for BlockQ8_0 {
         #[cfg(target_feature = "neon")]
         return super::neon::vec_dot_q8_0_q8_0(n, xs, ys);
 
+        #[cfg(target_feature = "simd128")]
+        return super::simd128::vec_dot_q8_0_q8_0(n, xs, ys);
+
         let qk = QK8_0;
         if n % QK8_0 != 0 {
             crate::bail!("vec_dot_q8_0_q8_0: {n} is not divisible by {qk}")
diff --git a/candle-core/src/quantized/mod.rs b/candle-core/src/quantized/mod.rs
index f627f0f63b..61fabc63e8 100644
--- a/candle-core/src/quantized/mod.rs
+++ b/candle-core/src/quantized/mod.rs
@@ -7,6 +7,8 @@ pub mod gguf_file;
 pub mod k_quants;
 #[cfg(target_feature = "neon")]
 pub mod neon;
+#[cfg(target_feature = "simd128")]
+pub mod simd128;
 pub mod utils;
 
 pub use k_quants::GgmlType;
diff --git a/candle-core/src/quantized/simd128.rs b/candle-core/src/quantized/simd128.rs
new file mode 100644
index 0000000000..9cb7119ff7
--- /dev/null
+++ b/candle-core/src/quantized/simd128.rs
@@ -0,0 +1,49 @@
+use super::k_quants::{BlockQ8_0, QK8_0};
+use crate::Result;
+use half::f16;
+
+use core::arch::wasm32::*;
+
+#[inline(always)]
+pub(crate) fn vec_dot_q8_0_q8_0(n: usize, xs: &[BlockQ8_0], ys: &[BlockQ8_0]) -> Result<f32> {
+    let qk = QK8_0;
+    if n % QK8_0 != 0 {
+        crate::bail!("vec_dot_q8_0_q8_0: {n} is not divisible by {qk}")
+    }
+    let nb = n / QK8_0;
+    if nb % 2 != 0 {
+        crate::bail!("vec_dot_q8_0_q8_0: {nb} is not even")
+    }
+    unsafe {
+        let mut acc = f32x4_splat(0.0f32);
+        for (x, y) in xs.iter().zip(ys.iter()) {
+            let x1 = i16x8_load_extend_i8x8(x.qs.as_ptr());
+            let y1 = i16x8_load_extend_i8x8(y.qs.as_ptr());
+            let sum_xy = i32x4_dot_i16x8(x1, y1);
+
+            let x2 = i16x8_load_extend_i8x8(x.qs.as_ptr().add(8));
+            let y2 = i16x8_load_extend_i8x8(y.qs.as_ptr().add(8));
+            let sum_xy = i32x4_add(sum_xy, i32x4_dot_i16x8(x2, y2));
+
+            let x3 = i16x8_load_extend_i8x8(x.qs.as_ptr().add(16));
+            let y3 = i16x8_load_extend_i8x8(y.qs.as_ptr().add(16));
+            let sum_xy = i32x4_add(sum_xy, i32x4_dot_i16x8(x3, y3));
+
+            let x4 = i16x8_load_extend_i8x8(x.qs.as_ptr().add(24));
+            let y4 = i16x8_load_extend_i8x8(y.qs.as_ptr().add(24));
+            let sum_xy = i32x4_add(sum_xy, i32x4_dot_i16x8(x4, y4));
+
+            let sum_xy = f32x4_convert_i32x4(sum_xy);
+
+            // f32x4_relaxed_madd is nightly only.
+            let d = f32x4_splat(f16::to_f32(x.d) * f16::to_f32(y.d));
+            let scaled = f32x4_mul(sum_xy, d);
+            acc = f32x4_add(acc, scaled)
+        }
+        let res = f32x4_extract_lane::<0>(acc)
+            + f32x4_extract_lane::<1>(acc)
+            + f32x4_extract_lane::<2>(acc)
+            + f32x4_extract_lane::<3>(acc);
+        Ok(res)
+    }
+}