diff --git a/common/config_models.py b/common/config_models.py
index 40b4109..b113194 100644
--- a/common/config_models.py
+++ b/common/config_models.py
@@ -141,14 +141,25 @@ class ModelConfig(BaseConfigModel):
         False,
         description=(
             "Allow direct loading of models "
-            "from a completion or chat completion request (default: False)."
+            "from a completion or chat completion request (default: False).\n"
+            "This method of loading is strict by default.\n"
+            "Enable dummy models to add exceptions for invalid model names."
         ),
     )
     use_dummy_models: Optional[bool] = Field(
         False,
         description=(
-            "Sends dummy model names when the models endpoint is queried.\n"
-            "Enable this if the client is looking for specific OAI models."
+            "Sends dummy model names when the models endpoint is queried. "
+            "(default: False)\n"
+            "Enable this if the client is looking for specific OAI models.\n"
+        ),
+    )
+    dummy_model_names: List[str] = Field(
+        default=["gpt-3.5-turbo"],
+        description=(
+            "A list of fake model names that are sent via the /v1/models endpoint. "
+            '(default: ["gpt-3.5-turbo"])\n'
+            "Also used as bypasses for strict mode if inline_model_loading is true."
         ),
     )
     model_name: Optional[str] = Field(
diff --git a/config_sample.yml b/config_sample.yml
index 83f2fc7..39593db 100644
--- a/config_sample.yml
+++ b/config_sample.yml
@@ -49,12 +49,18 @@ model:
   model_dir: models
 
   # Allow direct loading of models from a completion or chat completion request (default: False).
+  # This method of loading is strict by default.
+  # Enable dummy models to add exceptions for invalid model names.
   inline_model_loading: false
 
-  # Sends dummy model names when the models endpoint is queried.
+  # Sends dummy model names when the models endpoint is queried. (default: False)
   # Enable this if the client is looking for specific OAI models.
   use_dummy_models: false
 
+  # A list of fake model names that are sent via the /v1/models endpoint. (default: ["gpt-3.5-turbo"])
+  # Also used as bypasses for strict mode if inline_model_loading is true.
+  dummy_model_names: ["gpt-3.5-turbo"]
+
   # An initial model to load.
   # Make sure the model is located in the model directory!
   # REQUIRED: This must be filled out to load a model on startup.
diff --git a/endpoints/OAI/utils/completion.py b/endpoints/OAI/utils/completion.py
index cfcdeba..9fd8b90 100644
--- a/endpoints/OAI/utils/completion.py
+++ b/endpoints/OAI/utils/completion.py
@@ -130,18 +130,33 @@ async def load_inline_model(model_name: str, request: Request):
 
         return
 
-    # Error if an invalid key is passed
-    if get_key_permission(request) != "admin":
-        error_message = handle_request_error(
-            f"Unable to switch model to {model_name} because "
-            + "an admin key isn't provided",
-            exc_info=False,
-        ).error.message
+    is_dummy_model = (
+        config.model.use_dummy_models and model_name in config.model.dummy_model_names
+    )
 
-        raise HTTPException(401, error_message)
+    # Error if an invalid key is passed
+    # If a dummy model is provided, don't error
+    if get_key_permission(request) != "admin":
+        if not is_dummy_model:
+            error_message = handle_request_error(
+                f"Unable to switch model to {model_name} because "
+                + "an admin key isn't provided",
+                exc_info=False,
+            ).error.message
+
+            raise HTTPException(401, error_message)
+        else:
+            return
 
     # Start inline loading
     # Past here, user is assumed to be admin
+
+    # Skip if the model is a dummy
+    if is_dummy_model:
+        logger.warning(f"Dummy model {model_name} provided. Skipping inline load.")
+
+        return
+
     model_path = pathlib.Path(config.model.model_dir)
     model_path = model_path / model_name
 
diff --git a/endpoints/core/router.py b/endpoints/core/router.py
index f2b4247..597930b 100644
--- a/endpoints/core/router.py
+++ b/endpoints/core/router.py
@@ -39,6 +39,7 @@ from endpoints.core.utils.lora import get_active_loras, get_lora_list
 from endpoints.core.utils.model import (
     get_current_model,
     get_current_model_list,
+    get_dummy_models,
     get_model_list,
     stream_model_load,
 )
@@ -82,7 +83,7 @@ async def list_models(request: Request) -> ModelList:
         models = await get_current_model_list()
 
     if config.model.use_dummy_models:
-        models.data.insert(0, ModelCard(id="gpt-3.5-turbo"))
+        models.data[:0] = get_dummy_models()
 
     return models
 
diff --git a/endpoints/core/utils/model.py b/endpoints/core/utils/model.py
index 973337d..c2c209b 100644
--- a/endpoints/core/utils/model.py
+++ b/endpoints/core/utils/model.py
@@ -92,6 +92,13 @@ def get_current_model():
     return model_card
 
 
+def get_dummy_models():
+    if config.model.dummy_model_names:
+        return [ModelCard(id=dummy_id) for dummy_id in config.model.dummy_model_names]
+    else:
+        return [ModelCard(id="gpt-3.5-turbo")]
+
+
 async def stream_model_load(
     data: ModelLoadRequest,
     model_path: pathlib.Path,