added generation configs to models

src/lighteval/models/endpoints/endpoint_model.py

@@ -100,7 +100,7 @@ class InferenceEndpointModelConfig:
     namespace: str = None  # The namespace under which to launch the endopint. Defaults to the current user's namespace
     image_url: str = None
     env_vars: dict = None
-    generation_config: dict = {}
+    generation_config: dict = dict
 
     def __post_init__(self):
         # xor operator, one is None but not the other

src/lighteval/models/endpoints/openai_model.py

@@ -62,7 +62,7 @@
 @dataclass
 class OpenAIModelConfig:
     model: str
-    sampling_params: dict = {}
+    sampling_params: dict = dict
 
 
 class OpenAIClient(LightevalModel):

src/lighteval/models/endpoints/tgi_model.py

@@ -50,7 +50,7 @@ class TGIModelConfig:
     inference_server_address: str
     inference_server_auth: str
     model_id: str
-    generation_config: dict = {}
+    generation_config: dict = dict
 
 
 # inherit from InferenceEndpointModel instead of LightevalModel since they both use the same interface, and only overwrite

src/lighteval/models/transformers/base_model.py

@@ -153,7 +153,7 @@ class BaseModelConfig:
     trust_remote_code: bool = False
     use_chat_template: bool = False
     compile: bool = False
-    generation_config: dict = {}
+    generation_config: dict = dict
 
     def __post_init__(self):
         # Making sure this parameter is a boolean