@@ -1251,3 +1251,6 @@ msgstr "Необходимо указать параметр 'model'"
 
 msgid "Missing required parameter: 'messages'"
 msgstr "Отсутствует обязательный параметр: 'messages'"
+
+msgid "The neuron model does not exist"
+msgstr "Нейронная модель не существует"
@@ -6,6 +6,7 @@ from django.utils.translation import gettext_lazy as _
 from authentication.models.choices import InvitationStatus
 from authentication.models.user import CustomUserModel
 from authentication.selectors.user_selector import UserSelector
+from ml_model.exceptions import NeuronModelNotExist
 from ml_model.models import ModelParameter, NeuronModel
 from ml_model.serializers import NeuronModelSerializer, NeuronModelsSerializer
 
@@ -107,12 +108,15 @@ class NeuronModelSelector:
         return model.first()
 
     def get_model_by_slug(self, slug: str, serialize: bool = False, hidden: bool = False):
-        model = NeuronModel.objects.prefetch_related(
-            Prefetch(
-                'model_modelparameters',
-                queryset=ModelParameter.objects.filter(hidden=hidden),
-            )
-        ).get(slug=slug)
+        try:
+            model = NeuronModel.objects.prefetch_related(
+                Prefetch(
+                    'model_modelparameters',
+                    queryset=ModelParameter.objects.filter(hidden=hidden),
+                )
+            ).get(slug=slug)
+        except NeuronModel.DoesNotExist:
+            raise NeuronModelNotExist
         if serialize:
             return NeuronModelSerializer(instance=model)
         return model
@@ -16,10 +16,12 @@ class DeploymentDisabled(Exception):
     def __str__(self):
         return _('The model is currently disabled. Please try again later.')
 
+
 class RequestBlocked(Exception):
     def __str__(self):
         return _('Your request was blocked by our moderation system')
 
+
 class UnsupportedSize(Exception):
     def __init__(self, current_size: tuple[int, int], required_size: tuple[int, int]):
         self.current_size = current_size
@@ -35,10 +37,12 @@ class UnsupportedSize(Exception):
                 *self.current_size, *self.required_size
             )
 
+
 class ModelTimeoutError(Exception):
     def __str__(self):
         return _('The model is not responding')
 
+
 class FileExtensionNotSupported(Exception):
     def __init__(self, extensions: list[str]) -> None:
         self.extensions = extensions
@@ -62,3 +66,8 @@ class TemplateNotFound(Exception):
 class TemplateUnknownException(Exception):
     def __str__(self):
         return _('There was an unknown error while rendering a template')
+
+
+class NeuronModelNotExist(Exception):
+    def __str__(self):
+        return _('The neuron model does not exist')
@@ -7,6 +7,7 @@ from rest_framework.permissions import AllowAny
 from rest_framework.response import Response
 from rest_framework.views import APIView
 
+from ml_model.exceptions import NeuronModelNotExist
 from ml_model.models import ModelCategory
 from ml_model.selectors.ml_models_selector import NeuronModelSelector
 from ml_model.serializers import (
@@ -57,10 +58,13 @@ class NeuronModelAPIView(APIView):
     )
     def get(self, request, slug: str, *args, **kwargs):
         """Retrieve model by slug"""
-        selector = NeuronModelSelector(request.user)
-        model = selector.get_model_by_slug(slug=slug, hidden=False)
-        if not selector.get_model_accessible_status(model):
-            return Response({'detail': _('Model data cannot be retrieved')}, status=status.HTTP_403_FORBIDDEN)
-        return Response(
-            NeuronModelSerializer(model).data
-        )
+        try:
+            selector = NeuronModelSelector(request.user)
+            model = selector.get_model_by_slug(slug=slug, hidden=False)
+            if not selector.get_model_accessible_status(model):
+                return Response({'detail': _('Model data cannot be retrieved')}, status=status.HTTP_403_FORBIDDEN)
+            return Response(
+                NeuronModelSerializer(model).data
+            )
+        except (NeuronModelNotExist, Exception) as exc:
+            return Response({'detail': f'{exc}'}, status=status.HTTP_400_BAD_REQUEST)