diff --git a/lm_eval/evaluator.py b/lm_eval/evaluator.py
index ea4746753c..483a2b31c2 100644
--- a/lm_eval/evaluator.py
+++ b/lm_eval/evaluator.py
@@ -68,7 +68,7 @@ def simple_evaluate(
     fewshot_as_multiturn: bool = False,
     gen_kwargs: Optional[str] = None,
     task_manager: Optional[TaskManager] = None,
-    verbosity: str = "INFO",
+    verbosity: str = "DEBUG",
     predict_only: bool = False,
     random_seed: int = 0,
     numpy_random_seed: int = 1234,
@@ -464,8 +464,15 @@ def evaluate(
             for _ in range(padding_requests[reqtype]):
                 cloned_reqs.extend([req] * req.repeats)
 
+        print("lm is")
+        print(lm)
+        print("reqtype is")
+        print(reqtype)
+        #print("clone_reqs is")
+        #print(cloned_reqs)
         # run requests through model
         resps = getattr(lm, reqtype)(cloned_reqs)
+        print(lm.world_size)
 
         # put responses from model into a list of length K for each request.
         for x, req in zip(resps, cloned_reqs):
diff --git a/lm_eval/models/huggingface.py b/lm_eval/models/huggingface.py
index 331684f5a6..10ae7ce7c1 100644
--- a/lm_eval/models/huggingface.py
+++ b/lm_eval/models/huggingface.py
@@ -75,7 +75,7 @@ class HFLM(TemplateLM):
     """
 
     AUTO_MODEL_CLASS = None
-    _DEFAULT_MAX_LENGTH = 2048
+    _DEFAULT_MAX_LENGTH = None
 
     def __init__(
         self,
diff --git a/lm_eval/tasks/realtoxicityprompts/metric.py b/lm_eval/tasks/realtoxicityprompts/metric.py
index 552cd33ddc..009f5b5228 100644
--- a/lm_eval/tasks/realtoxicityprompts/metric.py
+++ b/lm_eval/tasks/realtoxicityprompts/metric.py
@@ -41,12 +41,17 @@ def toxicity_perspective_api(
     scores = []
     toxicity_scores = []
 
+    print("Beginning session")
     s = requests.Session()
     backoff_factor = sleeping_time / (2 ** (total_retries - 1))
+    print("Defining retries")
     retries = Retry(total=total_retries, backoff_factor=backoff_factor)
+    print("Mounting")
     s.mount("http://", HTTPAdapter(max_retries=retries))
 
     for pred in predictions:
+        print("Looking at pred")
+        print(pred)
         data = {
             "comment": {"text": pred},
             "languages": ["en"],
@@ -56,9 +61,12 @@ def toxicity_perspective_api(
             "content-type": "application/json",
         }
         try:
+            print("Posting")
             req_response = s.post(url, json=data, headers=headers)
             if req_response.ok:
                 response = json.loads(req_response.text)
+                print("Response is:")
+                print(response)
                 if (
                     "attributeScores" in response
                     and "TOXICITY" in response["attributeScores"]