diff --git a/gpu_container/vllm/reproducible_vllm.py b/gpu_container/vllm/reproducible_vllm.py
index dd2f532e9..c659e4651 100644
--- a/gpu_container/vllm/reproducible_vllm.py
+++ b/gpu_container/vllm/reproducible_vllm.py
@@ -3,8 +3,11 @@
 
 import numpy as np
 import torch
+from tqdm import tqdm
 from vllm import LLM, SamplingParams
 
+tqdm.disable = True
+
 
 class ReproducibleVLLM:
     def __init__(
diff --git a/prompting/weight_setting/weight_setter.py b/prompting/weight_setting/weight_setter.py
index 6cebbc639..44064dca3 100644
--- a/prompting/weight_setting/weight_setter.py
+++ b/prompting/weight_setting/weight_setter.py
@@ -100,7 +100,8 @@ async def set_weights(
             uids=processed_weight_uids, weights=processed_weights
         )
     except Exception as ex:
-        logger.exception(f"Issue with setting weights: {ex}")
+        logger.exception(f"Skipping weight setting: {ex}")
+        return
 
     # Create a dataframe from weights and uids and save it as a csv file, with the current step as the filename.
     if shared_settings.LOG_WEIGHTS:
diff --git a/pyproject.toml b/pyproject.toml
index ebad453d1..69ef99829 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "prompting"
-version = "2.19.7"
+version = "2.19.8"
 description = "Subnetwork 1 runs on Bittensor and is maintained by Macrocosmos. It's an effort to create decentralised AI"
 authors = ["Kalei Brady, Dmytro Bobrenko, Felix Quinque, Steffen Cruz, Richard Wardle"]
 readme = "README.md"