diff --git a/docs/optimization_guide/nncf/ptq/code/ptq_onnx.py b/docs/optimization_guide/nncf/ptq/code/ptq_onnx.py
index fa9d1e35734d14..b8104d449c566f 100644
--- a/docs/optimization_guide/nncf/ptq/code/ptq_onnx.py
+++ b/docs/optimization_guide/nncf/ptq/code/ptq_onnx.py
@@ -16,7 +16,8 @@ def transform_fn(data_item):
 #! [dataset]
 
 #! [quantization]
-model = ... # onnx.ModelProto object
+import onnx
+model = onnx.load("model_path")
 
 quantized_model = nncf.quantize(model, calibration_dataset)
 #! [quantization]
diff --git a/docs/optimization_guide/nncf/ptq/code/ptq_openvino.py b/docs/optimization_guide/nncf/ptq/code/ptq_openvino.py
index eb2f89edf36098..81e19fd99f5c8b 100644
--- a/docs/optimization_guide/nncf/ptq/code/ptq_openvino.py
+++ b/docs/optimization_guide/nncf/ptq/code/ptq_openvino.py
@@ -15,14 +15,13 @@ def transform_fn(data_item):
 #! [dataset]
 
 #! [quantization]
-model = ... # openvino.runtime.Model object
+import openvino.runtime as ov
+model = ov.Core().read_model("model_path")
 
 quantized_model = nncf.quantize(model, calibration_dataset)
 #! [quantization]
 
 #! [inference]
-import openvino.runtime as ov
-
 # compile the model to transform quantized operations to int8
 model_int8 = ov.compile_model(quantized_model)
 
diff --git a/docs/optimization_guide/nncf/ptq/code/ptq_tensorflow.py b/docs/optimization_guide/nncf/ptq/code/ptq_tensorflow.py
index fcb29c8741e5da..e4fc817ddb31d8 100644
--- a/docs/optimization_guide/nncf/ptq/code/ptq_tensorflow.py
+++ b/docs/optimization_guide/nncf/ptq/code/ptq_tensorflow.py
@@ -15,7 +15,8 @@ def transform_fn(data_item):
 #! [dataset]
 
 #! [quantization]
-model = ... # tensorflow.Module object
+import tensorflow as tf
+model = tf.saved_model.load("model_path")
 
 quantized_model = nncf.quantize(model, calibration_dataset)
 #! [quantization]
diff --git a/docs/optimization_guide/nncf/ptq/code/ptq_torch.py b/docs/optimization_guide/nncf/ptq/code/ptq_torch.py
index a65f0998622042..fbdf103b4f2bf9 100644
--- a/docs/optimization_guide/nncf/ptq/code/ptq_torch.py
+++ b/docs/optimization_guide/nncf/ptq/code/ptq_torch.py
@@ -15,7 +15,8 @@ def transform_fn(data_item):
 #! [dataset]
 
 #! [quantization]
-model = ... # torch.nn.Module object
+import torchvision
+model = torchvision.models.resnet50(pretrained=True)
 
 quantized_model = nncf.quantize(model, calibration_dataset)
 #! [quantization]