try Qwen3-32B model

answer_log.jsonl

@@ -1,2 +1,2 @@
+{"task_id": "9d191bce-651d-4746-be2d-7ef8ecadb9c2", "question": "Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec.\n\nWhat does Teal'c say in response to the question \"Isn't that hot?\"", "model_answer": "It is acceptable"}
 {"task_id": "2d83110e-a098-4ebb-9987-066c06fa42d0", "question": ".rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI", "model_answer": "right"}
-{"task_id": "cabe07ed-9eca-40ea-8ead-410ef5e83f91", "question": "What is the surname of the equine veterinarian mentioned in 1.E Exercises from the chemistry materials licensed by Marisa Alviar-Agnew & Henry Agnew under the CK-12 license in LibreText's Introductory Chemistry materials as compiled 08/21/2023?", "model_answer": "Not Available"}

app.py

@@ -41,7 +41,9 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 model = HfApiModel(
     max_tokens=2096,
     temperature=0.5,
-    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    model_id=
+            # 'Qwen/Qwen2.5-Coder-32B-Instruct',
+            'Qwen/Qwen3-32B',
     custom_role_conversions=None,
     token=hf_token,  # Pass the token here
 )

test.py

@@ -92,7 +92,9 @@ def create_agent():
     model = HfApiModel(
         max_tokens=2096,
         temperature=0.5,
-        model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+        model_id=
+            # 'Qwen/Qwen2.5-Coder-32B-Instruct',
+            'Qwen/Qwen3-32B', 
         # custom_role_conversions=None, # Optional, kept default
         token=hf_token, 
     )