diff --git a/models/demos/llama3/lt b/models/demos/llama3/lt
index 29d21683dc9..c69b4113a84 100755
--- a/models/demos/llama3/lt
+++ b/models/demos/llama3/lt
@@ -195,7 +195,7 @@ def main(stdscr):
                             for c in commands
                             for m in models
                             for d in devices
-                            if not (m in ["11b", "11b-b"] and d == "n150") or not (m == "70b" and d in ["n150", "n300"])
+                            if not ((m in ["11b", "11b-b"] and d == "n150") or (m == "70b" and d in ["n150", "n300"]))
                         ]
 
                         # Create output entries
diff --git a/models/demos/llama3/tests/multimodal/test_llama_cross_attention_transformer_text.py b/models/demos/llama3/tests/multimodal/test_llama_cross_attention_transformer_text.py
index e9d0386c334..26f30bdef91 100644
--- a/models/demos/llama3/tests/multimodal/test_llama_cross_attention_transformer_text.py
+++ b/models/demos/llama3/tests/multimodal/test_llama_cross_attention_transformer_text.py
@@ -279,13 +279,7 @@ def test_llama_cross_attention_transformer_text_inference(
                 mesh_mapper=ttnn.ShardTensorToMesh(mesh_device, dim=-1),
             )
             if mode == "decode":
-                tt_full_text_mask_expand_11SD = ttnn.reshape(
-                    tt_full_text_mask_expand_11SD,
-                    shape=ttnn.Shape(
-                        [batch, 1, seq_len, head_dim],
-                        [batch, 1, 32, head_dim],
-                    ),
-                )
+                tt_full_text_mask_expand_11SD = None
 
             tt_out = tt_model(
                 tt_h,
diff --git a/models/demos/llama3/tests/multimodal/test_llama_cross_block.py b/models/demos/llama3/tests/multimodal/test_llama_cross_block.py
index 7a2db392dfd..cdfa5ab19eb 100644
--- a/models/demos/llama3/tests/multimodal/test_llama_cross_block.py
+++ b/models/demos/llama3/tests/multimodal/test_llama_cross_block.py
@@ -194,13 +194,7 @@ def test_llama_cross_attention_transformer_block_inference(
             mesh_mapper=ttnn.ShardTensorToMesh(mesh_device, dim=-1),
         )
         if mode == "decode":
-            tt_full_text_mask_expand_11SD = ttnn.reshape(
-                tt_full_text_mask_expand_11SD,
-                shape=ttnn.Shape(
-                    [batch, 1, seq_len, head_dim],
-                    [batch, 1, 32, head_dim],
-                ),
-            )
+            tt_full_text_mask_expand_11SD = None
 
         pt_out = reference_model.forward(
             pt_x, xattn_mask=xattn_mask, full_text_row_masked_out_mask=full_text_mask, xattn_cache=pt_xattn_cache
diff --git a/models/demos/llama3/tt/multimodal/llama_cross_block.py b/models/demos/llama3/tt/multimodal/llama_cross_block.py
index d4f196c85f1..4f3d1cf394a 100644
--- a/models/demos/llama3/tt/multimodal/llama_cross_block.py
+++ b/models/demos/llama3/tt/multimodal/llama_cross_block.py
@@ -137,12 +137,12 @@ def forward(
             full_text_row_masked_out_mask_1NSH=full_text_row_masked_out_mask_1NSH,
             mode=mode,
         )
-
         attn_out = ttnn.mul(attn_out, ttnn.tanh(self.gate_attn))
 
         res = ttnn.add(x_11SH, attn_out)
         mlp_out = self.feed_forward(self.ffn_norm(res, mode=mode), mode=mode)
-        mlp_out = ttnn.mul(mlp_out, full_text_row_masked_out_mask_11SD)
+        if mode == "prefill":
+            mlp_out = ttnn.mul(mlp_out, full_text_row_masked_out_mask_11SD)
         mlp_out = ttnn.mul(mlp_out, ttnn.tanh(self.gate_ffwd))
         out = ttnn.add(res, mlp_out)
         return out
diff --git a/models/demos/llama3/tt/multimodal/llama_vision_model.py b/models/demos/llama3/tt/multimodal/llama_vision_model.py
index a2b602c78c7..47bff66e6e8 100644
--- a/models/demos/llama3/tt/multimodal/llama_vision_model.py
+++ b/models/demos/llama3/tt/multimodal/llama_vision_model.py
@@ -414,13 +414,7 @@ def forward(
                 ),
             )
 
-            tt_full_text_mask_expand_11SD = ttnn.reshape(
-                tt_full_text_mask_expand_11SD,
-                shape=ttnn.Shape(
-                    [batch, 1, seq_len, self.configuration.head_dim],
-                    [batch, 1, 32, self.configuration.head_dim],
-                ),
-            )
+            tt_full_text_mask_expand_11SD = None
 
         logits = self.text_model.forward(
             tt_h,