diff --git a/tests/ttnn/unit_tests/operations/test_conv2d.py b/tests/ttnn/unit_tests/operations/test_conv2d.py
index 9b57fb5b790..e6f02dccdf7 100644
--- a/tests/ttnn/unit_tests/operations/test_conv2d.py
+++ b/tests/ttnn/unit_tests/operations/test_conv2d.py
@@ -1632,3 +1632,109 @@ def test_yolov4_conv_groups_1_low_resolution(
         padded_input_channels=16 if input_channels == 3 else None,
         output_layout=output_layout,
     )
+
+
+@skip_for_wormhole_b0()
+@pytest.mark.parametrize(
+    "batch_size, output_channels, input_channels, input_height, input_width, filter_height, filter_width, stride_h, stride_w, pad_h, pad_w, use_1d_systolic_array, config_override, use_shallow_conv_variant",
+    (
+        (1, 64, 64, 80, 80, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 255, 512, 20, 20, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 64, 128, 80, 80, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 32, 3, 320, 320, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 128, 128, 80, 80, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 128, 256, 20, 20, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 512, 256, 20, 20, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 64, 32, 320, 320, 3, 3, 2, 2, 1, 1, True, None, False),
+        (1, 256, 512, 20, 20, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 64, 64, 80, 80, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 256, 128, 40, 40, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 512, 1024, 10, 10, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 512, 256, 40, 40, 3, 3, 2, 2, 1, 1, True, None, False),
+        (1, 64, 128, 160, 160, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 256, 512, 10, 10, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 256, 128, 40, 40, 3, 3, 2, 2, 1, 1, True, None, False),
+        (1, 64, 64, 160, 160, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 512, 512, 20, 20, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 512, 256, 20, 20, 3, 3, 2, 2, 1, 1, True, None, False),
+        (1, 128, 256, 40, 40, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 255, 256, 40, 40, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 512, 2048, 10, 10, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 512, 512, 10, 10, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 64, 32, 160, 160, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 128, 128, 40, 40, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 32, 64, 160, 160, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 256, 128, 80, 80, 3, 3, 2, 2, 1, 1, True, None, False),
+        (1, 256, 256, 20, 20, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 256, 256, 20, 20, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 512, 512, 10, 10, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 1024, 512, 10, 10, 3, 3, 1, 1, 1, 1, True, None, False),
+        (1, 128, 64, 160, 160, 3, 3, 2, 2, 1, 1, True, None, False),
+        (1, 255, 1024, 10, 10, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 1024, 1024, 10, 10, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 1024, 512, 20, 20, 3, 3, 2, 2, 1, 1, True, None, False),
+        (1, 256, 256, 40, 40, 1, 1, 1, 1, 0, 0, True, None, False),
+        (1, 128, 128, 40, 40, 1, 1, 1, 1, 0, 0, True, None, False),
+    ),
+)
+@pytest.mark.parametrize(
+    "weights_dtype",
+    [ttnn.bfloat8_b],
+)
+@pytest.mark.parametrize(
+    "activations_dtype",
+    # [ttnn.bfloat8_b, ttnn.bfloat16],
+    [ttnn.bfloat8_b],
+)
+@pytest.mark.parametrize("math_fidelity", [ttnn.MathFidelity.LoFi])
+# @pytest.mark.parametrize("output_layout", [ttnn.ROW_MAJOR_LAYOUT, ttnn.TILE_LAYOUT])
+@pytest.mark.parametrize("output_layout", [ttnn.TILE_LAYOUT])
+def test_yolov4_REPO_320_320(
+    device,
+    use_program_cache,
+    math_fidelity,
+    activations_dtype,
+    weights_dtype,
+    batch_size,
+    output_channels,
+    input_channels,
+    input_height,
+    input_width,
+    filter_height,
+    filter_width,
+    stride_h,
+    stride_w,
+    pad_h,
+    pad_w,
+    use_1d_systolic_array,
+    config_override,
+    use_shallow_conv_variant,
+    output_layout,
+):
+    if output_layout == ttnn.ROW_MAJOR_LAYOUT and activations_dtype == ttnn.bfloat8_b:
+        pytest.skip("Row major layout not compatible with bfloat8_b")
+    if output_layout == ttnn.ROW_MAJOR_LAYOUT and input_height >= 1056:
+        pytest.skip("OOM")
+    run_conv(
+        device,
+        math_fidelity,
+        activations_dtype,
+        weights_dtype,
+        batch_size,
+        output_channels,
+        input_channels,
+        input_height,
+        input_width,
+        filter_height,
+        filter_width,
+        stride_h,
+        stride_w,
+        pad_h,
+        pad_w,
+        use_1d_systolic_array,
+        config_override,
+        use_shallow_conv_variant=use_shallow_conv_variant,
+        #        groups=groups,
+        padded_input_channels=16 if input_channels == 3 else None,
+        output_layout=output_layout,
+    )