[Bug Fix] Fix test that requre GPU (#1096)

SUMMARY:
Nightly tests uses gpus, ci tests dont.
In the set up of
`tests/llmcompressor/transformers/obcq/test_consecutive_runs.py`, a bug
was found where `quantization_config` was always passed. This will
result in an error if the model from the config file is not optimized.
We are passing in dense model, so it fails.

TEST PLAN:
Run the failing test, make sure it passes!

Signed-off-by: Rahul Tuli <rahul@neuralmagic.com>

Author: George

tests/llmcompressor/transformers/obcq/test_consecutive_runs.py

@@ -8,6 +8,7 @@
 from transformers import AutoModelForCausalLM
 from transformers.utils.quantization_config import CompressedTensorsConfig
 
+from llmcompressor.transformers.utils import is_model_ct_quantized_from_path
 from llmcompressor.transformers.utils.helpers import infer_recipe_from_model_path
 from tests.testing_utils import parse_params, requires_gpu
 
@@ -137,10 +138,14 @@ class TestConsecutiveRunsGPU(TestConsecutiveRuns):
     def setUp(self):
         from transformers import AutoModelForCausalLM
 
+        self.assertFalse(
+            is_model_ct_quantized_from_path(self.model),
+            "The provided model is quantized. Please use a dense model.",
+        )
+
         self.model = AutoModelForCausalLM.from_pretrained(
             self.model,
             device_map=self.device,
-            quantization_config=self.quantization_config,
         )
 
         self.output = "./oneshot_output"