diff --git a/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/hpo_config.yaml b/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/hpo_config.yaml
new file mode 100644
index 00000000000..819a3ac0368
--- /dev/null
+++ b/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/hpo_config.yaml
@@ -0,0 +1,15 @@
+metric: mDice
+search_algorithm: asha
+hp_space:
+  learning_parameters.learning_rate:
+    param_type: qloguniform
+    range:
+      - 0.0002
+      - 0.005
+      - 0.0001
+  learning_parameters.batch_size:
+    param_type: qloguniform
+    range:
+      - 6
+      - 12
+      - 2
diff --git a/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/model.py b/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/model.py
new file mode 100644
index 00000000000..8a162147228
--- /dev/null
+++ b/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/model.py
@@ -0,0 +1,6 @@
+_base_ = [
+  '../../../submodule/models/segmentation/ocr_litehrnet18_mod2.yaml',
+]
+
+load_from = 'https://storage.openvinotoolkit.org/repositories/openvino_training_extensions/models/custom_semantic_segmentation/litehrnet18_imagenet1k_rsc.pth'
+fp16 = dict(loss_scale=512.)
diff --git a/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/template.yaml b/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/template.yaml
new file mode 100644
index 00000000000..4763d1d219d
--- /dev/null
+++ b/external/model-preparation-algorithm/configs/segmentation/ocr-lite-hrnet-18/template.yaml
@@ -0,0 +1,52 @@
+# Description.
+model_template_id: Custom_Semantic_Segmentation_Lite-HRNet-18_OCR
+name: Lite-HRNet-18
+task_type: SEGMENTATION
+task_family: VISION
+instantiation: "CLASS"
+summary: Class-Incremental Semantic Segmentation with middle-sized architecture which based on the Lite-HRNet backbone for the balance between the fast inference and long training. (deprecated in next version)
+application: ~
+
+# Algo backend.
+framework: OTESegmentation v0.14.0
+
+# Task implementations.
+entrypoints:
+  base: mpa_tasks.apis.segmentation.SegmentationTrainTask
+  openvino: segmentation_tasks.apis.segmentation.OpenVINOSegmentationTask
+  nncf: mpa_tasks.apis.segmentation.SegmentationNNCFTask
+base_model_path: ../../../../mmsegmentation/configs/custom-sematic-segmentation/ocr-lite-hrnet-18/template_experimental.yaml
+
+# Capabilities.
+capabilities:
+  - compute_representations
+
+# Hyperparameters.
+hyper_parameters:
+  base_path: ../configuration.yaml
+  parameter_overrides:
+    learning_parameters:
+      batch_size:
+        default_value: 8
+      learning_rate:
+        default_value: 0.001
+        auto_hpo_state: POSSIBLE
+      learning_rate_fixed_iters:
+        default_value: 0
+      learning_rate_warmup_iters:
+        default_value: 100
+      num_iters:
+        default_value: 300
+    algo_backend:
+      train_type:
+        default_value: Incremental
+
+# Training resources.
+max_nodes: 1
+training_targets:
+  - GPU
+  - CPU
+
+# Stats.
+gigaflops: 3.45
+size: 4.5