diff --git a/environment.yml b/environment.yml
new file mode 100644
index 00000000..53d8e741
--- /dev/null
+++ b/environment.yml
@@ -0,0 +1,20 @@
+name: ydata-sdk
+channels:
+  - defaults
+dependencies:
+  - bzip2=1.0.8=h1de35cc_0
+  - ca-certificates=2023.08.22=hecd8cb5_0
+  - libffi=3.4.4=hecd8cb5_0
+  - ncurses=6.4=hcec6c5f_0
+  - openssl=3.0.12=hca72f7f_0
+  - pip=23.3.1=py310hecd8cb5_0
+  - python=3.10.13=h5ee71fb_0
+  - readline=8.2=hca72f7f_0
+  - setuptools=68.0.0=py310hecd8cb5_0
+  - sqlite=3.41.2=h6c40b1e_0
+  - tk=8.6.12=h5d9f67b_0
+  - tzdata=2023c=h04d1e81_0
+  - wheel=0.41.2=py310hecd8cb5_0
+  - xz=5.4.5=h6c40b1e_0
+  - zlib=1.2.13=h4dc903c_0
+prefix: /usr/local/Caskroom/miniconda/base/envs/ydata-sdk
diff --git a/src/ydata/sdk/synthesizers/regular.py b/src/ydata/sdk/synthesizers/regular.py
index 41bee623..c0dd4719 100644
--- a/src/ydata/sdk/synthesizers/regular.py
+++ b/src/ydata/sdk/synthesizers/regular.py
@@ -40,7 +40,6 @@ def fit(self, X: Union[DataSource, pdDataFrame],
             exclude_cols: Optional[List[str]] = None,
             dtypes: Optional[Dict[str, Union[str, DataType]]] = None,
             target: Optional[str] = None,
-            name: Optional[str] = None,
             anonymize: Optional[dict] = None,
             condition_on: Optional[List[str]] = None) -> None:
         """Fit the synthesizer.
@@ -61,7 +60,7 @@ def fit(self, X: Union[DataSource, pdDataFrame],
         """
         BaseSynthesizer.fit(self, X=X, datatype=DataSourceType.TABULAR, entities=entities,
                             generate_cols=generate_cols, exclude_cols=exclude_cols, dtypes=dtypes,
-                            target=target, name=name, anonymize=anonymize, privacy_level=privacy_level,
+                            target=target, anonymize=anonymize, privacy_level=privacy_level,
                             condition_on=condition_on)
 
     def __repr__(self):
diff --git a/src/ydata/sdk/synthesizers/synthesizer.py b/src/ydata/sdk/synthesizers/synthesizer.py
index 4dd19a58..f5f08aeb 100644
--- a/src/ydata/sdk/synthesizers/synthesizer.py
+++ b/src/ydata/sdk/synthesizers/synthesizer.py
@@ -51,9 +51,9 @@ class BaseSynthesizer(ABC, ModelFactoryMixin):
         client (Client): (optional) Client to connect to the backend
     """
 
-    def __init__(self, client: Optional[Client] = None):
+    def __init__(self, name: str | None = None, client: Client | None = None):
         self._init_common(client=client)
-        self._model: Optional[mSynthesizer] = None
+        self._model = mSynthesizer(name=name or str(uuid4()))
 
     @init_client
     def _init_common(self, client: Optional[Client] = None):
@@ -69,7 +69,6 @@ def fit(self, X: Union[DataSource, pdDataFrame],
             exclude_cols: Optional[List[str]] = None,
             dtypes: Optional[Dict[str, Union[str, DataType]]] = None,
             target: Optional[str] = None,
-            name: Optional[str] = None,
             anonymize: Optional[dict] = None,
             condition_on: Optional[List[str]] = None) -> None:
         """Fit the synthesizer.
@@ -223,15 +222,13 @@ def _fit_from_datasource(
         privacy_level: PrivacyLevel = PrivacyLevel.HIGH_FIDELITY,
         dataset_attrs: Optional[DataSourceAttrs] = None,
         target: Optional[str] = None,
-        name: Optional[str] = None,
         anonymize: Optional[dict] = None,
         condition_on: Optional[List[str]] = None
     ) -> None:
-        _name = name if name is not None else str(uuid4())
         metadata = self._metadata_to_payload(
             DataSourceType(X.datatype), X.metadata, dataset_attrs, target)
         payload = {
-            'name': _name,
+            'name': self._model.name,
             'dataSourceUID': X.uid,
             'metadata': metadata,
             'extraData': {},
diff --git a/src/ydata/sdk/synthesizers/timeseries.py b/src/ydata/sdk/synthesizers/timeseries.py
index 37992cd9..bef5c21a 100644
--- a/src/ydata/sdk/synthesizers/timeseries.py
+++ b/src/ydata/sdk/synthesizers/timeseries.py
@@ -43,7 +43,6 @@ def fit(self, X: Union[DataSource, pdDataFrame],
             exclude_cols: Optional[List[str]] = None,
             dtypes: Optional[Dict[str, Union[str, DataType]]] = None,
             target: Optional[str] = None,
-            name: Optional[str] = None,
             anonymize: Optional[dict] = None,
             condition_on: Optional[List[str]] = None) -> None:
         """Fit the synthesizer.
@@ -65,7 +64,7 @@ def fit(self, X: Union[DataSource, pdDataFrame],
         """
         BaseSynthesizer.fit(self, X=X, datatype=DataSourceType.TIMESERIES, sortbykey=sortbykey,
                             entities=entities, generate_cols=generate_cols, exclude_cols=exclude_cols,
-                            dtypes=dtypes, target=target, name=name, anonymize=anonymize, privacy_level=privacy_level,
+                            dtypes=dtypes, target=target, anonymize=anonymize, privacy_level=privacy_level,
                             condition_on=condition_on)
 
     def __repr__(self):