update comment

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>

Author: kylesayrs

tests/llmcompressor/transformers/kv_cache/test_kv_cache.py

@@ -237,7 +237,9 @@ def test_kv_cache_gptq_model_state_dict_attr(kv_cache_fixture, tmp_path):
     output_dir, _ = next(kv_cache_fixture(recipe, tmp_path))
 
     with init_empty_weights():
-        # There is a bug in `apply_quantization_config`
+        # TODO: There is a bug in `apply_quantization_config` which means that, if using
+        # CompressedLinears, the compression status is inferred to `compressed` and
+        # therefore the attention kvcache parameters never undergo initializations
         model = AutoModelForCausalLM.from_pretrained(
             output_dir,
             quantization_config=CompressedTensorsConfig(run_compressed=False),