diff --git a/unsloth/models/_utils.py b/unsloth/models/_utils.py
index 7f0c2f6959..2e88e213e6 100644
--- a/unsloth/models/_utils.py
+++ b/unsloth/models/_utils.py
@@ -214,6 +214,14 @@ try:
 except:
     pass
 
+# MXFP4 quantization requires triton >= 3.4.0
+try:
+    from transformers.quantizers.quantizer_mxfp4 import logger as mxfp4_logger
+    mxfp4_logger.addFilter(HideLoggingMessage("requires triton"))
+    del mxfp4_logger
+except:
+    pass
+
 # Errors out on
 # Some weights of Gemma3nForConditionalGeneration were not initialized from the model checkpoint
 from transformers.modeling_utils import logger as transformers_logger
diff --git a/unsloth/models/vision.py b/unsloth/models/vision.py
index 9529794e1a..623f263127 100644
--- a/unsloth/models/vision.py
+++ b/unsloth/models/vision.py
@@ -644,7 +644,7 @@ class FastBaseModel:
             "loftq_config"      : loftq_config,
         }
         lora_config = LoraConfig(
-            **{k:v for k,v in lora_config_dict.items() if key in LoraConfig.__doc__},
+            **{k:v for k,v in lora_config_dict.items() if k in LoraConfig.__doc__},
         )
         model = prepare_model_for_kbit_training(
             model,