diff --git a/gptqmodel/nn_modules/qlinear/__init__.py b/gptqmodel/nn_modules/qlinear/__init__.py
index 89b0625bc..cf31d0392 100644
--- a/gptqmodel/nn_modules/qlinear/__init__.py
+++ b/gptqmodel/nn_modules/qlinear/__init__.py
@@ -485,6 +485,18 @@ def dequantize_weight(self, num_itr: int = 1):
 
         return weights
 
+    # FIXME, optimum needs call pack(), we need to remove it
+    def pack(
+            self,
+            linear: nn.Module,
+            scales: t.Tensor,
+            zeros: t.Tensor,
+            g_idx: t.Tensor,
+            block_in: int = 8192,
+            workers: int = 8,
+    ):
+        self.pack_block(linear, scales, zeros, g_idx, block_in, workers)
+
     @t.inference_mode()
     def pack_block(
             self,
diff --git a/tests/test_olora_finetuning_xpu.py b/tests/test_olora_finetuning_xpu.py
index 755fdebf5..a7c414272 100644
--- a/tests/test_olora_finetuning_xpu.py
+++ b/tests/test_olora_finetuning_xpu.py
@@ -140,7 +140,7 @@ def generate_and_tokenize_prompt(example):
             learning_rate=learning_rate,
             logging_steps=1,
             optim="adamw_torch",
-            evaluation_strategy="steps",
+            eval_strategy="steps",
             save_strategy="steps",
             eval_steps=eval_step,
             save_steps=save_step,