diff --git a/luxonis_train/core/core.py b/luxonis_train/core/core.py
index 2b1607ad..16953062 100644
--- a/luxonis_train/core/core.py
+++ b/luxonis_train/core/core.py
@@ -268,7 +268,7 @@ def thread_exception_hook(args):
             self.thread.start()
 
     def export(
-        self, onnx_save_path: str | None = None, *, weights: str | None = None
+        self, onnx_save_path: str | None = None, *, weights: str | Path | None = None
     ) -> None:
         """Runs export.
 
@@ -429,7 +429,6 @@ def _objective(trial: optuna.trial.Trial) -> float:
                 for a in cfg_copy.trainer.preprocessing.augmentations
                 if a.name != "Normalize"
             ]  # manually remove Normalize so it doesn't duplicate it when creating new cfg instance
-            Config.clear_instance()
             cfg = Config.get_config(cfg_copy.model_dump(), curr_params)
 
             child_tracker.log_hyperparams(curr_params)
diff --git a/luxonis_train/utils/loaders/base_loader.py b/luxonis_train/utils/loaders/base_loader.py
index e18d7f5e..5e884955 100644
--- a/luxonis_train/utils/loaders/base_loader.py
+++ b/luxonis_train/utils/loaders/base_loader.py
@@ -103,7 +103,7 @@ def get_classes(self) -> dict[str, list[str]]:
         @rtype: dict[LabelType, list[str]]
         @return: A dictionary mapping tasks to their classes.
         """
-        pass
+        ...
 
     def get_n_keypoints(self) -> dict[str, int] | None:
         """Returns the dictionary defining the semantic skeleton for each class using
diff --git a/luxonis_train/utils/loaders/luxonis_loader_torch.py b/luxonis_train/utils/loaders/luxonis_loader_torch.py
index 4a8b505e..328f87be 100644
--- a/luxonis_train/utils/loaders/luxonis_loader_torch.py
+++ b/luxonis_train/utils/loaders/luxonis_loader_torch.py
@@ -1,6 +1,6 @@
 import logging
 from pathlib import Path
-from typing import Literal, cast
+from typing import Literal
 
 import numpy as np
 from luxonis_ml.data import (
@@ -158,13 +158,10 @@ def _parse_dataset(
 
         logger.info(f"Parsing dataset from {dataset_dir} with name '{dataset_name}'")
 
-        return cast(
-            LuxonisDataset,
-            LuxonisParser(
-                dataset_dir,
-                dataset_name=dataset_name,
-                dataset_type=dataset_type,
-                save_dir="data",
-                delete_existing=True,
-            ).parse(),
-        )
+        return LuxonisParser(
+            dataset_dir,
+            dataset_name=dataset_name,
+            dataset_type=dataset_type,
+            save_dir="data",
+            delete_existing=True,
+        ).parse()
diff --git a/luxonis_train/utils/types.py b/luxonis_train/utils/types.py
index 375ab565..84b8e019 100644
--- a/luxonis_train/utils/types.py
+++ b/luxonis_train/utils/types.py
@@ -45,15 +45,7 @@ def from_missing_task(cls, task: str, present_tasks: list[str], class_name: str)
 class BaseProtocol(BaseModel):
     class Config:
         arbitrary_types_allowed = True
-
-    @classmethod
-    def get_task(cls) -> str:
-        if len(cls.__annotations__) == 1:
-            return list(cls.__annotations__)[0]
-        raise ValueError(
-            "Protocol must have exactly one field for automatic task inference. "
-            "Implement custom `prepare` method in your attached module."
-        )
+        extra = "forbid"
 
 
 class FeaturesProtocol(BaseProtocol):
diff --git a/tests/integration/test_sanity.py b/tests/integration/test_sanity.py
index cf7af8aa..5afa385b 100644
--- a/tests/integration/test_sanity.py
+++ b/tests/integration/test_sanity.py
@@ -10,7 +10,6 @@
 from multi_input_modules import *
 
 from luxonis_train.core import LuxonisModel
-from luxonis_train.utils.config import Config
 
 TEST_OUTPUT = Path("tests/integration/_test-output")
 INFER_PATH = Path("tests/integration/_infer_save_dir")
@@ -35,7 +34,6 @@ def manage_out_dir():
 
 @pytest.fixture(scope="function", autouse=True)
 def clear_files():
-    Config.clear_instance()
     yield
     STUDY_PATH.unlink(missing_ok=True)
     ONNX_PATH.unlink(missing_ok=True)