diff --git a/requirements.txt b/requirements.txt
index d561b4326..6dac3c7a2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,10 +1,10 @@
 --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/
 packaging==23.2
 peft==0.13.2
-transformers==4.46.0
+transformers==4.46.2
 tokenizers>=0.20.1
 bitsandbytes==0.44.1
-accelerate==1.0.1
+accelerate==1.0.2
 datasets==3.0.1
 deepspeed==0.15.3
 pydantic==2.6.3
@@ -34,7 +34,7 @@ tensorboard
 python-dotenv==1.0.1
 autoawq>=0.2.5
 triton>=2.3.0
-liger-kernel==0.3.1
+liger-kernel==0.4.0
 
 mamba-ssm==1.2.0.post1
 
diff --git a/src/axolotl/core/trainer_builder.py b/src/axolotl/core/trainer_builder.py
index aab9a80b8..f4a2f9001 100755
--- a/src/axolotl/core/trainer_builder.py
+++ b/src/axolotl/core/trainer_builder.py
@@ -896,13 +896,13 @@ class AxolotlTrainer(SchedulerMixin, Trainer):
         for key, value in metrics.items():
             self._stored_metrics[train_eval][key].append(value)
 
-    def _save_checkpoint(self, model, trial, metrics=None):
+    def _save_checkpoint(self, model, trial):
         # make sure the checkpoint dir exists, since trainer is flakey
         checkpoint_folder = f"{PREFIX_CHECKPOINT_DIR}-{self.state.global_step}"
         run_dir = self._get_output_dir(trial=trial)
         output_dir = os.path.join(run_dir, checkpoint_folder)
         os.makedirs(output_dir, exist_ok=True)
-        return super()._save_checkpoint(model, trial, metrics=metrics)
+        return super()._save_checkpoint(model, trial)
 
 
 class AxolotlMambaTrainer(AxolotlTrainer):