diff --git a/.github/workflows/export-stories-model.yml b/.github/workflows/export-stories-model.yml
new file mode 100644
index 00000000000..2507487afa0
--- /dev/null
+++ b/.github/workflows/export-stories-model.yml
@@ -0,0 +1,68 @@
+name: Export Stories Model
+
+on:
+  pull_request:
+  workflow_dispatch:
+  schedule:
+    - cron: '0 10 * * *'
+
+jobs:
+  export-dl3-model:
+    name: export-dl3-model
+    runs-on: ubuntu-latest
+    timeout-minutes: 30
+    permissions:
+      id-token: write
+      contents: read
+    steps:
+      - name: Setup Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Install executorch
+        run: |
+          pip install torchvision executorch
+
+      - name: Export model to PTE
+        run: |
+          cat <<EOF > export_dl3.py
+          import torch
+          import torchvision.models as models
+          from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
+          from executorch.exir import to_edge_transform_and_lower
+          def main() -> None:
+              model = models.segmentation.deeplabv3_resnet101(weights='DEFAULT').eval()
+              sample_inputs = (torch.randn(1, 3, 224, 224), )
+              et_program = to_edge_transform_and_lower(
+                  torch.export.export(model, sample_inputs),
+                  partitioner=[XnnpackPartitioner()],
+              ).to_executorch()
+              with open("dl3_xnnpack_fp32.pte", "wb") as file:
+                  et_program.write_to_file(file)
+          if __name__ == "__main__":
+              main()
+          EOF
+
+          python export_dl3.py
+
+      - name: Upload artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: dl3-pte
+          path: |
+            dl3_xnnpack_fp32.pte
+
+      - name: Configure AWS credentials
+        uses: aws-actions/configure-aws-credentials@v1.7.0
+        with:
+          role-to-assume: arn:aws:iam::308535385114:role/gha_executorch_upload-frameworks-android
+          aws-region: us-east-1
+
+      - name: Upload to S3
+        run: |
+          pip install awscli==1.32.18
+
+          VERSION="snapshot-$(date +"%Y%m%d")"
+
+          aws s3 cp dl3_xnnpack_fp32.pte s3://ossci-android/executorch/models/${VERSION}/dl3_xnnpack_fp32.pte --acl public-read