diff --git a/tests/llmcompressor/transformers/compression/decompression_configs_skipped/w8a8.yaml b/tests/llmcompressor/transformers/compression/decompression_configs/w8a8.yaml
similarity index 100%
rename from tests/llmcompressor/transformers/compression/decompression_configs_skipped/w8a8.yaml
rename to tests/llmcompressor/transformers/compression/decompression_configs/w8a8.yaml
diff --git a/tests/llmcompressor/transformers/compression/run_compressed_configs_skipped/w8a8.yaml b/tests/llmcompressor/transformers/compression/run_compressed_configs/w8a8.yaml
similarity index 100%
rename from tests/llmcompressor/transformers/compression/run_compressed_configs_skipped/w8a8.yaml
rename to tests/llmcompressor/transformers/compression/run_compressed_configs/w8a8.yaml
diff --git a/tests/llmcompressor/transformers/compression/test_run_compressed.py b/tests/llmcompressor/transformers/compression/test_run_compressed.py
index 4be243701..798a436c8 100644
--- a/tests/llmcompressor/transformers/compression/test_run_compressed.py
+++ b/tests/llmcompressor/transformers/compression/test_run_compressed.py
@@ -84,9 +84,17 @@ def test_compressed_matches_decompressed(self):
     def tearDownClass(cls):
         if os.path.isdir(cls.test_dir):
             shutil.rmtree(cls.test_dir)
+
+        if hasattr(cls, "decompressed_model") and cls.decompressed_model is not None:
+            cls.decompressed_model.cpu()
+        if hasattr(cls, "uncompressed_model") and cls.uncompressed_model is not None:
+            cls.uncompressed_model.cpu()
         del cls.decompressed_model
         del cls.uncompressed_model
+        del cls.tokenizer
+
         torch.cuda.empty_cache()
+        torch.cuda.synchronize()
 
 
 @requires_gpu
@@ -168,6 +176,14 @@ def test_compressed_matches_decompressed__hf_quantizer(self):
     def tearDownClass(cls):
         if os.path.isdir(cls.test_dir):
             shutil.rmtree(cls.test_dir)
+
+        if hasattr(cls, "decompressed_model") and cls.decompressed_model is not None:
+            cls.decompressed_model.cpu()
+        if hasattr(cls, "compressed_model") and cls.compressed_model is not None:
+            cls.compressed_model.cpu()
         del cls.decompressed_model
         del cls.compressed_model
+        del cls.tokenizer
+
         torch.cuda.empty_cache()
+        torch.cuda.synchronize()