diff --git a/backends/huggingface_multimodal_api.py b/backends/huggingface_multimodal_api.py
index e62af6a5ad..28c3f87229 100644
--- a/backends/huggingface_multimodal_api.py
+++ b/backends/huggingface_multimodal_api.py
@@ -106,7 +106,11 @@ def get_images(messages: list[Dict]) -> list:
 
     return loaded_images
 
-def generate_idefics_output(messages: list[Dict], model: IdeficsForVisionText2Text, processor: AutoProcessor, device) -> list[str]:
+def generate_idefics_output(messages: list[Dict], 
+                            model: IdeficsForVisionText2Text, 
+                            processor: AutoProcessor,
+                            max_tokens: int, 
+                            device) -> list[str]:
     '''
     Return generated text from Idefics model 
 
@@ -136,8 +140,8 @@ def generate_idefics_output(messages: list[Dict], model: IdeficsForVisionText2Te
     # Generation args for Idefics
     exit_condition = processor.tokenizer("<end_of_utterance>", add_special_tokens=False).input_ids
     bad_words_ids = processor.tokenizer(["<image>", "<fake_token_around_image>"], add_special_tokens=False).input_ids
-    generated_ids = model.generate(**inputs, eos_token_id=exit_condition, bad_words_ids=bad_words_ids, max_length=100)
-    generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)
+    generated_ids = model.generate(**inputs, eos_token_id=exit_condition, bad_words_ids=bad_words_ids, max_length=max_tokens)
+    generated_text = processor.batch_decode(generated_ids)
 
     return generated_text
 
@@ -167,8 +171,7 @@ def __init__(self, model_spec: backends.ModelSpec):
         if model_spec["padding"]:
             self.padding = True
 
-    def generate_response(self, messages: List[Dict],
-                          log_messages: bool = False) -> Tuple[Any, Any, str]:
+    def generate_response(self, messages: List[Dict]) -> Tuple[Any, Any, str]:
         """
         :param messages: for example
                 [
@@ -203,6 +206,7 @@ def generate_response(self, messages: List[Dict],
             generated_text = generate_idefics_output(messages=messages, 
                                                      model=self.multimodal_model,
                                                      processor=self.processor,
+                                                     max_tokens=self.get_max_tokens(),
                                                      device=self.device)