diff --git a/tests/quantization/aqlm_integration/test_aqlm.py b/tests/quantization/aqlm_integration/test_aqlm.py
index b79eae54c0c3..8195d975711a 100644
--- a/tests/quantization/aqlm_integration/test_aqlm.py
+++ b/tests/quantization/aqlm_integration/test_aqlm.py
@@ -17,6 +17,7 @@
 import importlib
 import tempfile
 import unittest
+from unittest import skip
 
 from packaging import version
 
@@ -142,6 +143,9 @@ def test_quantized_model_conversion(self):
 
         self.assertEqual(nb_linears - 1, nb_aqlm_linear)
 
+    @skip(
+        "inference doesn't work with quantized aqlm models using torch.Any type with recent torch versions. Waiting for the fix from AQLM side"
+    )
     def test_quantized_model(self):
         """
         Simple test that checks if the quantized model is working properly
@@ -158,6 +162,9 @@ def test_raise_if_non_quantized(self):
         with self.assertRaises(ValueError):
             _ = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=quantization_config)
 
+    @skip(
+        "inference doesn't work with quantized aqlm models using torch.Any type with recent torch versions. Waiting for the fix from AQLM side"
+    )
     def test_save_pretrained(self):
         """
         Simple test that checks if the quantized model is working properly after being saved and loaded
@@ -171,6 +178,9 @@ def test_save_pretrained(self):
             output = model.generate(**input_ids, max_new_tokens=self.max_new_tokens)
             self.assertEqual(self.tokenizer.decode(output[0], skip_special_tokens=True), self.EXPECTED_OUTPUT)
 
+    @skip(
+        "inference doesn't work with quantized aqlm models using torch.Any type with recent torch versions. Waiting for the fix from AQLM side"
+    )
     @require_torch_multi_gpu
     def test_quantized_model_multi_gpu(self):
         """