diff --git a/CHANGELOG.md b/CHANGELOG.md
index f9e5689..d58a7ee 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,4 +1,9 @@
 # Changelog
+
+## 1.1.7 / 2023-08-11
+### What’s Changed
+- Hotfix cutoff limit by @Eugene-hu  in #126
+
 ## 1.1.6 / 2023-08-10
 ### What’s Changed
 - Diversity regularization by @isabella618033 in https://github.com/opentensor/validators/pull/124
diff --git a/openvalidators/__init__.py b/openvalidators/__init__.py
index 81643aa..10d715d 100644
--- a/openvalidators/__init__.py
+++ b/openvalidators/__init__.py
@@ -28,6 +28,6 @@
 from . import weights
 from . import event
 
-__version__ = "1.1.6"
+__version__ = "1.1.7"
 version_split = __version__.split(".")
 __spec_version__ = (1000 * int(version_split[0])) + (10 * int(version_split[1])) + (1 * int(version_split[2]))
diff --git a/openvalidators/reward/diversity.py b/openvalidators/reward/diversity.py
index 051b781..242f302 100644
--- a/openvalidators/reward/diversity.py
+++ b/openvalidators/reward/diversity.py
@@ -55,7 +55,7 @@ def __init__( self, device: str ):
         self.device = device
         self.tokenizer = AutoTokenizer.from_pretrained( DiversityRewardModel.diversity_model_path )
         self.model = AutoModel.from_pretrained( DiversityRewardModel.diversity_model_path ).to(self.device)
-        self.reward_bottom_k = 3
+        self.reward_bottom_k = 2
         self.history_reward_bottom_k = 2
         self.historic_embeddings = torch.tensor([]).to(self.device)
         self.history_range = (500, 15500)