diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 4270ee5..950dcfe 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -15,7 +15,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.10", "3.11", "3.12" ]
+        python-version: [ "3.10", "3.11", "3.12", "3.13" ]
         os: [ ubuntu-latest, windows-latest, macos-latest ]
 
     runs-on: ${{ matrix.os }}
diff --git a/README.md b/README.md
index 389f7f1..58d28c5 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # pydantic-numpy
 
-![Python 3.10-3.12](https://img.shields.io/badge/python-3.9--3.12-blue.svg)
+![Python 3.10-3.13](https://img.shields.io/badge/python-3.9--3.13-blue.svg)
 [![Packaged with Poetry](https://img.shields.io/badge/packaging-poetry-cyan.svg)](https://python-poetry.org/)
 ![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)
 ![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)
diff --git a/poetry.lock b/poetry.lock
index ad54969..772545e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -104,73 +104,73 @@ lz4 = ["lz4"]
 
 [[package]]
 name = "coverage"
-version = "7.6.3"
+version = "7.6.7"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
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 [package.extras]
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 [package.dependencies]
@@ -313,6 +313,7 @@ typing-extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
+faster-cache = ["orjson"]
 install-types = ["pip"]
 mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
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 [[package]]
 name = "packaging"
-version = "24.1"
+version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -548,7 +552,10 @@ files = [
 [package.dependencies]
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 pydantic-core = "2.23.4"
-typing-extensions = {version = ">=4.6.1", markers = "python_version < \"3.13\""}
+typing-extensions = [
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+    {version = ">=4.6.1", markers = "python_version < \"3.13\""},
+]
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
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 [[package]]
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 [package.dependencies]
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+    {file = "ruff-0.7.4-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e0cea28d0944f74ebc33e9f934238f15c758841f9f5edd180b5315c203293452"},
+    {file = "ruff-0.7.4-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:80094ecd4793c68b2571b128f91754d60f692d64bc0d7272ec9197fdd09bf9ea"},
+    {file = "ruff-0.7.4-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:997512325c6620d1c4c2b15db49ef59543ef9cd0f4aa8065ec2ae5103cedc7e7"},
+    {file = "ruff-0.7.4-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:00b4cf3a6b5fad6d1a66e7574d78956bbd09abfd6c8a997798f01f5da3d46a05"},
+    {file = "ruff-0.7.4-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7dbdc7d8274e1422722933d1edddfdc65b4336abf0b16dfcb9dedd6e6a517d06"},
+    {file = "ruff-0.7.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e92dfb5f00eaedb1501b2f906ccabfd67b2355bdf117fea9719fc99ac2145bc"},
+    {file = "ruff-0.7.4-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:3bd726099f277d735dc38900b6a8d6cf070f80828877941983a57bca1cd92172"},
+    {file = "ruff-0.7.4-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2e32829c429dd081ee5ba39aef436603e5b22335c3d3fff013cd585806a6486a"},
+    {file = "ruff-0.7.4-py3-none-musllinux_1_2_i686.whl", hash = "sha256:662a63b4971807623f6f90c1fb664613f67cc182dc4d991471c23c541fee62dd"},
+    {file = "ruff-0.7.4-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:876f5e09eaae3eb76814c1d3b68879891d6fde4824c015d48e7a7da4cf066a3a"},
+    {file = "ruff-0.7.4-py3-none-win32.whl", hash = "sha256:75c53f54904be42dd52a548728a5b572344b50d9b2873d13a3f8c5e3b91f5cac"},
+    {file = "ruff-0.7.4-py3-none-win_amd64.whl", hash = "sha256:745775c7b39f914238ed1f1b0bebed0b9155a17cd8bc0b08d3c87e4703b990d6"},
+    {file = "ruff-0.7.4-py3-none-win_arm64.whl", hash = "sha256:11bff065102c3ae9d3ea4dc9ecdfe5a5171349cdd0787c1fc64761212fc9cf1f"},
+    {file = "ruff-0.7.4.tar.gz", hash = "sha256:cd12e35031f5af6b9b93715d8c4f40360070b2041f81273d0527683d5708fce2"},
 ]
 
 [[package]]
@@ -814,13 +812,13 @@ files = [
 
 [[package]]
 name = "tomli"
-version = "2.0.2"
+version = "2.1.0"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
-    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
+    {file = "tomli-2.1.0-py3-none-any.whl", hash = "sha256:a5c57c3d1c56f5ccdf89f6523458f60ef716e210fc47c4cfb188c5ba473e0391"},
+    {file = "tomli-2.1.0.tar.gz", hash = "sha256:3f646cae2aec94e17d04973e4249548320197cfabdf130015d023de4b74d8ab8"},
 ]
 
 [[package]]
@@ -836,5 +834,5 @@ files = [
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.10,<3.13"
-content-hash = "c79bc084805ad05be0901839fa3574527d15f022d4e5901cae1f39f4d7e75f6f"
+python-versions = ">=3.10,<3.14"
+content-hash = "225a12c74e0d396a4410b06afafda668ada5fd17766f9957760b748777659330"
diff --git a/pydantic_numpy/model.py b/pydantic_numpy/model.py
index 62ac3e6..1e8e3cb 100644
--- a/pydantic_numpy/model.py
+++ b/pydantic_numpy/model.py
@@ -7,7 +7,7 @@
 import compress_pickle
 import numpy as np
 import numpy.typing as npt
-from pydantic import BaseModel, DirectoryPath, FilePath, computed_field, validate_call
+from pydantic import BaseModel, DirectoryPath, FilePath, validate_call
 from ruamel.yaml import YAML
 
 from pydantic_numpy.util import np_general_all_close
@@ -59,8 +59,8 @@ def __eq__(self, other: Any) -> bool:
             return False
 
         if isinstance(other, NumpyModel):
-            self_ndarray_field_to_array, self_other_field_to_value = self._dump_numpy_split_dict()
-            other_ndarray_field_to_array, other_other_field_to_value = other._dump_numpy_split_dict()
+            self_ndarray_field_to_array, self_other_field_to_value = self.nm_dump_numpy_split_dict()
+            other_ndarray_field_to_array, other_other_field_to_value = other.nm_dump_numpy_split_dict()
 
             return self_other_field_to_value == other_other_field_to_value and _compare_np_array_dicts(
                 self_ndarray_field_to_array, other_ndarray_field_to_array
@@ -69,11 +69,6 @@ def __eq__(self, other: Any) -> bool:
         # Self is NumpyModel, other is not; likely unequal; checking anyway.
         return super().__eq__(other)
 
-    @classmethod
-    @validate_call
-    def model_directory_path(cls, output_directory: DirectoryPath, object_id: str) -> DirectoryPath:
-        return output_directory / f"{object_id}.{cls.__name__}{cls._directory_suffix}"
-
     @classmethod
     @validate_call
     def load(
@@ -99,17 +94,17 @@ def load(
         -------
         NumpyModel instance
         """
-        object_directory_path = cls.model_directory_path(output_directory, object_id)
+        object_directory_path = cls.nm_model_directory_path(output_directory, object_id)
 
         npz_file = np.load(object_directory_path / cls._dump_numpy_savez_file_name)
 
         other_path: FilePath
-        if (other_path := object_directory_path / cls._dump_compressed_pickle_file_name).exists():  # type: ignore[operator]
+        if (other_path := object_directory_path / cls.nm_dump_compressed_pickle_file_name()).exists():  # type: ignore[operator]
             other_field_to_value = compress_pickle.load(other_path)
-        elif (other_path := object_directory_path / cls._dump_pickle_file_name).exists():  # type: ignore[operator]
+        elif (other_path := object_directory_path / cls.nm_dump_pickle_file_name()).exists():  # type: ignore[operator]
             with open(other_path, "rb") as in_pickle:
                 other_field_to_value = pickle_pkg.load(in_pickle)
-        elif (other_path := object_directory_path / cls._dump_non_array_yaml_name).exists():  # type: ignore[operator]
+        elif (other_path := object_directory_path / cls.nm_dump_non_array_yaml_name()).exists():  # type: ignore[operator]
             with open(other_path, "r") as in_yaml:
                 other_field_to_value = yaml.load(in_yaml)
         else:
@@ -129,10 +124,10 @@ def dump(
             self.model_config["arbitrary_types_allowed"] and pickle
         ), "Arbitrary types are only supported in pickle mode"
 
-        dump_directory_path = self.model_directory_path(output_directory, object_id)
+        dump_directory_path = self.nm_model_directory_path(output_directory, object_id)
         dump_directory_path.mkdir(parents=True, exist_ok=True)
 
-        ndarray_field_to_array, other_field_to_value = self._dump_numpy_split_dict()
+        ndarray_field_to_array, other_field_to_value = self.nm_dump_numpy_split_dict()
 
         if ndarray_field_to_array:
             (np.savez_compressed if compress else np.savez)(
@@ -144,20 +139,22 @@ def dump(
                 if compress:
                     compress_pickle.dump(
                         other_field_to_value,
-                        dump_directory_path / self._dump_compressed_pickle_file_name,  # pyright: ignore
+                        dump_directory_path / self.nm_dump_compressed_pickle_file_name(),  # pyright: ignore
                         compression=self._dump_compression,
                     )
                 else:
-                    with open(dump_directory_path / self._dump_pickle_file_name, "wb") as out_pickle:  # pyright: ignore
+                    with open(
+                        dump_directory_path / self.nm_dump_pickle_file_name(), "wb"
+                    ) as out_pickle:  # pyright: ignore
                         pickle_pkg.dump(other_field_to_value, out_pickle)
 
             else:
-                with open(dump_directory_path / self._dump_non_array_yaml_name, "w") as out_yaml:  # pyright: ignore
+                with open(dump_directory_path / self.nm_dump_non_array_yaml_name(), "w") as out_yaml:  # pyright: ignore
                     yaml.dump(other_field_to_value, out_yaml)
 
         return dump_directory_path
 
-    def _dump_numpy_split_dict(self) -> tuple[dict, dict]:
+    def nm_dump_numpy_split_dict(self) -> tuple[dict, dict]:
         ndarray_field_to_array = {}
         other_field_to_value = {}
 
@@ -169,22 +166,21 @@ def _dump_numpy_split_dict(self) -> tuple[dict, dict]:
 
         return ndarray_field_to_array, other_field_to_value
 
-    @classmethod  # type: ignore[misc]
-    @computed_field(return_type=str)
-    @property
-    def _dump_compressed_pickle_file_name(cls) -> str:
+    @classmethod
+    @validate_call
+    def nm_model_directory_path(cls, output_directory: DirectoryPath, object_id: str) -> DirectoryPath:
+        return output_directory / f"{object_id}.{cls.__name__}{cls._directory_suffix}"
+
+    @classmethod
+    def nm_dump_compressed_pickle_file_name(cls) -> str:
         return f"{cls._dump_non_array_file_stem}.pickle.{cls._dump_compression}"
 
-    @classmethod  # type: ignore[misc]
-    @computed_field(return_type=str)
-    @property
-    def _dump_pickle_file_name(cls) -> str:
+    @classmethod
+    def nm_dump_pickle_file_name(cls) -> str:
         return f"{cls._dump_non_array_file_stem}.pickle"
 
-    @classmethod  # type: ignore[misc]
-    @computed_field(return_type=str)
-    @property
-    def _dump_non_array_yaml_name(cls) -> str:
+    @classmethod
+    def nm_dump_non_array_yaml_name(cls) -> str:
         return f"{cls._dump_non_array_file_stem}.yaml"
 
 
@@ -217,7 +213,7 @@ def model_agnostic_load(
     NumpyModel instance if found
     """
     for model in models:
-        if model.model_directory_path(output_directory, object_id).exists():
+        if model.nm_model_directory_path(output_directory, object_id).exists():
             return model.load(output_directory, object_id, **load_kwargs)
 
     if not_found_error:
diff --git a/pyproject.toml b/pyproject.toml
index ba2d4e1..94720d6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pydantic_numpy"
-version = "6.0.1"
+version = "7.0.0"
 description = "Pydantic Model integration of the NumPy array"
 authors = ["Can H. Tartanoglu", "Christoph Heindl"]
 maintainers = ["Can H. Tartanoglu <python@rotas.mozmail.com>"]
@@ -18,7 +18,7 @@ classifiers = [
 packages = [{include = "pydantic_numpy"}]
 
 [tool.poetry.dependencies]
-python = ">=3.10,<3.13"
+python = ">=3.10,<3.14"
 compress-pickle = { version = "*", extras = ["lz4"] }
 ruamel-yaml = "^0.18.5"
 
@@ -55,7 +55,6 @@ profile = "black"
 
 [tool.ruff]
 line-length = 120
-lint.ignore-init-module-imports = true
 lint.ignore = ["F403", "F405"]
 
 [tool.pyright]