diff --git a/ggml/src/ggml-sycl/CMakeLists.txt b/ggml/src/ggml-sycl/CMakeLists.txt
index efd78b912..fa460273d 100644
--- a/ggml/src/ggml-sycl/CMakeLists.txt
+++ b/ggml/src/ggml-sycl/CMakeLists.txt
@@ -27,6 +27,15 @@ file(GLOB   GGML_HEADERS_SYCL "*.hpp")
 file(GLOB   GGML_SOURCES_SYCL "*.cpp")
 target_sources(ggml-sycl PRIVATE ${GGML_HEADERS_SYCL} ${GGML_SOURCES_SYCL})
 
+# Include flash-attn sources (SYCL optimized flash attention implementation)
+file(GLOB GGML_HEADERS_SYCL_FLASH "fattn*.h" "fattn*.hpp")
+file(GLOB GGML_SOURCES_SYCL_FLASH "fattn*.cpp" "fattn*.c")
+target_sources(ggml-sycl PRIVATE ${GGML_HEADERS_SYCL_FLASH} ${GGML_SOURCES_SYCL_FLASH})
+
+# Also include kernel headers under flash-attn/kernels
+file(GLOB GGML_HEADERS_SYCL_FLASH_KERNELS "fattn_kernel*.h" "fattn_kernel*.hpp")
+target_sources(ggml-sycl PRIVATE ${GGML_HEADERS_SYCL_FLASH_KERNELS})
+
 if (WIN32)
     # To generate a Visual Studio solution, using Intel C++ Compiler for ggml-sycl is mandatory
     if( ${CMAKE_GENERATOR} MATCHES "Visual Studio" AND NOT (${CMAKE_GENERATOR_TOOLSET} MATCHES "Intel C"))
diff --git a/ggml/src/ggml-sycl/backend.hpp b/ggml/src/ggml-sycl/backend.hpp
index b1575b814..c9c3d5061 100644
--- a/ggml/src/ggml-sycl/backend.hpp
+++ b/ggml/src/ggml-sycl/backend.hpp
@@ -38,6 +38,7 @@
 #include "tsembd.hpp"
 #include "wkv.hpp"
 #include "pad_reflect_1d.hpp"
+#include "fattn.hpp"
 
 
 #endif  // GGML_SYCL_BACKEND_HPP
diff --git a/ggml/src/ggml-sycl/fattn.cpp b/ggml/src/ggml-sycl/fattn.cpp
new file mode 100644
index 000000000..67cafa10c
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn.cpp
@@ -0,0 +1,212 @@
+#include "./fattn.hpp"
+#include "./fattn_kernel.hpp"
+#include "./fattn_common.hpp"
+
+#include <cmath>
+#include <cstring>
+#include <limits>
+#include <sycl/sycl.hpp>
+
+#define Br 32
+#define Bc 32
+
+
+bool ggml_sycl_flash_attn_ext_supported(const ggml_tensor * dst) {
+    const ggml_tensor * Q = dst->src[0];
+    const ggml_tensor * K = dst->src[1];
+    const ggml_tensor * V = dst->src[2];
+
+    if (Q == nullptr || K == nullptr || V == nullptr) {
+        return false;
+    }
+    if (Q->type == GGML_TYPE_F32 && K->type == GGML_TYPE_F32 && V->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
+        return true;
+    }
+    // if (Q->type == GGML_TYPE_F16 && K->type == GGML_TYPE_F16 && V->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) {
+    //     return true;
+    // }
+
+    return false;
+}
+
+template<int64_t DQK, int64_t DV>
+void ggml_sycl_op_flash_attn_2(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * Q    = dst->src[0];
+    const ggml_tensor * K    = dst->src[1];
+    const ggml_tensor * V    = dst->src[2];
+
+    GGML_ASSERT(Q != nullptr);
+    GGML_ASSERT(K != nullptr);
+    GGML_ASSERT(V != nullptr);
+    GGML_ASSERT(dst != nullptr);
+    
+    //not support KV_Cache yet
+    GGML_ASSERT(K->ne[1] == V->ne[1]);
+
+    //not support multi head and gqa yet 
+    GGML_ASSERT(Q->ne[2] == 1);
+    GGML_ASSERT(K->ne[2] == 1);
+    GGML_ASSERT(V->ne[2] == 1);
+
+    const float * Q_d   = (const float *) Q->data;
+    const float * K_d   = (const float *) K->data;
+    const float * V_d   = (const float *) V->data;
+    float *       dst_d = (float *) dst->data;
+
+    dpct::queue_ptr stream = ctx.stream();
+
+    const int64_t N = Q->ne[1];
+
+    const ptrdiff_t q_row_stride = Q->nb[1] / (ptrdiff_t)sizeof(float);
+    const ptrdiff_t k_row_stride = K->nb[1] / (ptrdiff_t)sizeof(float);
+    const ptrdiff_t v_row_stride = V->nb[1] / (ptrdiff_t)sizeof(float);
+    const ptrdiff_t o_row_stride = dst->nb[1] / (ptrdiff_t)sizeof(float);
+
+    // const int Br = std::min((int) FLASH_ATTN_BR_MAX, (int) N);
+    // const int Bc = std::min((int) FLASH_ATTN_BC_MAX, (int) N);
+
+    const int Tr = (N + Br - 1) / Br;
+    const int Tc = (N + Bc - 1) / Bc;
+
+    float * l_d = (float *) sycl::malloc_device(N * sizeof(float), *stream);
+    float * m_d = (float *) sycl::malloc_device(N * sizeof(float), *stream);
+
+    sycl::range<2> global(Br * Tr, Tc);
+    sycl::range<2> local(Br,1);
+
+    stream->submit([&](sycl::handler& cgh) {
+        sycl::local_accessor<float, 2> Qtile({Br, DQK}, cgh);
+        sycl::local_accessor<float, 2> Ktile({Bc, DQK}, cgh);
+        sycl::local_accessor<float, 2> Vtile({Bc, DV}, cgh);
+        sycl::local_accessor<float, 2> Stile({Br, Bc}, cgh);
+        sycl::local_accessor<float, 1> Ptile({Br * Bc}, cgh);
+        sycl::local_accessor<float, 1> m_local({Br}, cgh);
+        sycl::local_accessor<float, 1> l_local({Br}, cgh);
+
+        float* q_loc = Qtile.template get_multi_ptr<sycl::access::decorated::no>().get();
+        float* k_loc = Ktile.template get_multi_ptr<sycl::access::decorated::no>().get();
+        float* v_loc = Vtile.template get_multi_ptr<sycl::access::decorated::no>().get();
+        float* s_loc = Stile.template get_multi_ptr<sycl::access::decorated::no>().get();
+        float* p_loc = Ptile.template get_multi_ptr<sycl::access::decorated::no>().get();
+        float* m_loc = m_local.template get_multi_ptr<sycl::access::decorated::no>().get();
+        float* l_loc = l_local.template get_multi_ptr<sycl::access::decorated::no>().get();
+
+        cgh.parallel_for(sycl::nd_range<2>(global, local), [=](sycl::nd_item<2> it) {
+            auto group = it.get_group();
+            int group_id_i = group.get_group_id(0);
+            int group_id_j = group.get_group_id(1);
+
+
+            int row0 = group_id_i * Br;
+            int col0 = group_id_j * Bc;
+
+            if (row0 >= (int) N || col0 >= (int) N) {
+                return;
+            }
+
+            const float* Q_block = Q_d + (ptrdiff_t)row0 * q_row_stride;
+            const float* K_block = K_d + (ptrdiff_t)col0 * k_row_stride;
+            const float* V_block = V_d + (ptrdiff_t)col0 * v_row_stride;
+            float*       O_block = dst_d + (ptrdiff_t)row0 * o_row_stride;
+
+            //this lines does not support non-contiguous tensors
+            ggml_sycl_memcpy<Br * DQK>(q_loc, Q_block);
+            ggml_sycl_memcpy<Bc * DQK>(k_loc, K_block);
+            ggml_sycl_memcpy<Bc * DV>(v_loc, V_block);
+
+            it.barrier(sycl::access::fence_space::local_space);
+
+            flash_attn_mul_mat_QK_kernel<DQK>(
+                it,
+                Q_block, q_row_stride,
+                K_block, k_row_stride,
+                s_loc, (ptrdiff_t)Bc,
+                Br, Bc
+            );
+
+            it.barrier(sycl::access::fence_space::local_space);
+
+            flash_attn_softmax_kernel(
+                it,
+                s_loc, p_loc,
+                m_loc, l_loc,
+                Br, Bc,
+                l_d, m_d
+            );
+
+            it.barrier(sycl::access::fence_space::local_space);
+
+            flash_attn_mul_mat_PV_kernel<DV>(
+                it,
+                p_loc, (ptrdiff_t)Bc,
+                V_block, v_row_stride,
+                O_block, o_row_stride,
+                Br,Bc
+            );
+
+            it.barrier(sycl::access::fence_space::local_space);
+        });
+    });
+
+    
+    stream->submit([&](sycl::handler& cgh) {
+        const ptrdiff_t o_stride = o_row_stride;
+
+        cgh.parallel_for(sycl::range<1>(N), [=](sycl::id<1> id_row) {
+            int row = id_row[0];
+            float l_val = l_d[row];
+
+            if (l_val <= 0.0f) {
+                return;
+            }
+
+            float inv_l = 1.0f / l_val;
+            float * o_row = dst_d + (ptrdiff_t)row * o_stride;
+
+            for (int col = 0; col < DV; ++col) {
+                o_row[col] *= inv_l;
+            }
+        });
+    });
+
+
+    sycl::free(l_d, *stream);
+    sycl::free(m_d, *stream);
+}
+
+
+void ggml_sycl_op_flash_attn(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * Q    = dst->src[0];
+    const ggml_tensor * V    = dst->src[2];
+
+    switch (Q->ne[0]) {
+        case 64:
+            GGML_ASSERT(V->ne[0] == 64);
+            ggml_sycl_op_flash_attn_2< 64,  64>(ctx, dst);
+            break;
+        case 80:
+            GGML_ASSERT(V->ne[0] == 80);
+            ggml_sycl_op_flash_attn_2< 80,  80>(ctx, dst);
+            break;
+        case 96:
+            GGML_ASSERT(V->ne[0] == 96);
+            ggml_sycl_op_flash_attn_2< 96,  96>(ctx, dst);
+            break;
+        case 112:
+            GGML_ASSERT(V->ne[0] == 112);
+            ggml_sycl_op_flash_attn_2<112, 112>(ctx, dst);
+            break;
+        case 128:
+            GGML_ASSERT(V->ne[0] == 128);
+            ggml_sycl_op_flash_attn_2<128, 128>(ctx, dst);
+            break;
+        case 256:
+            GGML_ASSERT(V->ne[0] == 256);
+            ggml_sycl_op_flash_attn_2<256, 256>(ctx, dst);
+            break;
+        default:
+            GGML_ABORT("fatal error");
+            break;
+    }
+}
+
diff --git a/ggml/src/ggml-sycl/fattn.hpp b/ggml/src/ggml-sycl/fattn.hpp
new file mode 100644
index 000000000..94188e18e
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn.hpp
@@ -0,0 +1,13 @@
+#ifndef GGML_SYCL_FATTN_HPP
+#define GGML_SYCL_FATTN_HPP
+
+#include "common.hpp"
+
+// Flash attention operation for SYCL backend
+// This implements the Flash Attention algorithm optimized for SYCL devices
+void ggml_sycl_op_flash_attn(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
+
+// Check if flash attention is supported for given tensor
+bool ggml_sycl_flash_attn_ext_supported(const ggml_tensor * dst);
+
+#endif // GGML_SYCL_FATTN_HPP
diff --git a/ggml/src/ggml-sycl/fattn_common.hpp b/ggml/src/ggml-sycl/fattn_common.hpp
new file mode 100644
index 000000000..53a99f44f
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn_common.hpp
@@ -0,0 +1,12 @@
+#ifndef GGML_SYCL_FATTN_COMMON_HPP
+#define GGML_SYCL_FATTN_COMMON_HPP
+
+template<int N>
+inline void ggml_sycl_memcpy(float* dst, const float* src) {
+    #pragma unroll
+    for (int i = 0; i < N; ++i) {
+        dst[i] = src[i];
+    }
+}
+
+#endif // GGML_SYCL_FATTN_COMMON_HPP
diff --git a/ggml/src/ggml-sycl/fattn_kernel.hpp b/ggml/src/ggml-sycl/fattn_kernel.hpp
new file mode 100644
index 000000000..822947056
--- /dev/null
+++ b/ggml/src/ggml-sycl/fattn_kernel.hpp
@@ -0,0 +1,141 @@
+#ifndef GGML_SYCL_FATTN_KERNEL_HPP
+#define GGML_SYCL_FATTN_KERNEL_HPP
+
+#include <sycl/sycl.hpp>
+
+template <int64_t QKD>
+inline void flash_attn_mul_mat_QK_kernel(
+    sycl::nd_item<2> it,
+    const float * Q,  ptrdiff_t q_row_stride,
+    const float * K,  ptrdiff_t k_row_stride,
+    float * S,        ptrdiff_t s_row_stride,
+    const int Br, const int Bc) {
+
+    const int i = it.get_local_id(0);
+    if (i >= Br) {
+        return;
+    }
+
+    const float * q_vec = Q + i * q_row_stride;
+    float * s_row       = S + i * s_row_stride;
+
+    for (int j = 0; j < Bc; ++j) {
+        const float * k_vec = K + j * k_row_stride;
+        float score = 0.0f;
+
+#pragma unroll
+        for (int k = 0; k < QKD; ++k) {
+            score += q_vec[k] * k_vec[k];
+        }
+
+        s_row[j] = score;
+    }
+}
+
+
+inline void flash_attn_softmax_kernel(
+    sycl::nd_item<2> it,
+    float * S, float * P,
+    float * m_local, float * l_local,
+    const int Br, const int Bc,
+    float * l_d, float * m_d
+) {
+    const int li  = it.get_local_id(0);
+    const int gi  = it.get_group(0);
+    const int row = gi * Br + li;
+
+    if (li >= Br) {
+        return;
+    }
+
+    const int row_offset = li * Bc;
+
+    float m_old = m_d[row];
+    float l_old = l_d[row];
+
+    // 2. Block max
+    float m_block = -INFINITY;
+    for (int j = 0; j < Bc; ++j) {
+        const float s_ij = S[row_offset + j];
+        m_block = sycl::fmax(m_block, s_ij);
+    }
+
+    // 3. Block exp-sum
+    float l_block = 0.0f;
+    for (int j = 0; j < Bc; ++j) {
+        const float e = sycl::exp(S[row_offset + j] - m_block);
+        P[row_offset + j] = e;  // temporary store
+        l_block += e;
+    }
+
+    // 4. Merge block stats with global (streaming softmax)
+    float m_new;
+    float l_new;
+
+    if (l_old == 0.0f && m_old == -INFINITY) {
+        // first block for this row
+        m_new = m_block;
+        l_new = l_block;
+    } else {
+        m_new = sycl::fmax(m_old, m_block);
+
+        const float alpha = sycl::exp(m_old   - m_new);
+        const float beta  = sycl::exp(m_block - m_new);
+
+        l_new = alpha * l_old + beta * l_block;
+    }
+
+    // 5. Store updated global stats
+    m_d[row] = m_new;
+    l_d[row] = l_new;
+
+    // 6. Convert local e_ij to global probabilities p_ij
+    float scale_block = 0.0f;
+    if (l_new > 0.0f) {
+        scale_block = sycl::exp(m_block - m_new) / l_new;
+    }
+
+    for (int j = 0; j < Bc; ++j) {
+        P[row_offset + j] *= scale_block;
+    }
+
+    // 7. Optional: keep local copies
+    m_local[li] = m_new;
+    l_local[li] = l_new;
+}
+
+
+
+
+template <int64_t VD>
+inline void flash_attn_mul_mat_PV_kernel(
+    sycl::nd_item<2> it,
+    const float * P, ptrdiff_t p_row_stride,
+    const float * V, ptrdiff_t v_row_stride,
+    float * O,       ptrdiff_t o_row_stride,
+    const int Br, const int Bc) {
+
+    const int i = it.get_local_id(0);
+    if (i >= Br) {
+        return;
+    }
+
+    const float * p_row = P + i * p_row_stride;
+    float * o_row       = O + i * o_row_stride;
+
+    for (int j = 0; j < VD; ++j) {
+        float acc = 0.0f;
+
+#pragma unroll
+        for (int k = 0; k < Bc; ++k) {
+            const float * v_row = V + k * v_row_stride;
+            acc += p_row[k] * v_row[j];
+        }
+
+        o_row[j] = acc;
+    }
+}
+
+#endif // GGML_SYCL_FATTN_KERNEL_HPP
+
+
diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp
index 33f903507..a37e89d4e 100644
--- a/ggml/src/ggml-sycl/ggml-sycl.cpp
+++ b/ggml/src/ggml-sycl/ggml-sycl.cpp
@@ -3839,6 +3839,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg
         case GGML_OP_ARGSORT:
             ggml_sycl_argsort(ctx, dst);
             break;
+        case GGML_OP_FLASH_ATTN_EXT:
+            ggml_sycl_op_flash_attn(ctx, dst);
+            break;
         case GGML_OP_TIMESTEP_EMBEDDING:
             ggml_sycl_op_timestep_embedding(ctx, dst);
             break;
@@ -4501,6 +4504,8 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
         case GGML_OP_MEAN:
         case GGML_OP_ARGSORT:
             return ggml_is_contiguous(op->src[0]);
+        case GGML_OP_FLASH_ATTN_EXT:
+            return ggml_sycl_flash_attn_ext_supported(op);
         case GGML_OP_POOL_2D:
         case GGML_OP_ACC:
             return true;