diff --git a/pyproject.toml b/pyproject.toml
index 1b55d690..aca5e7e0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -73,11 +73,11 @@ all = [
     "openllm[falcon]",
     "openllm[mpt]",
     "openllm[flan-t5]",
-    "openllm[openai]",
+    "openllm[ggml]",
     "openllm[fine-tune]",
     "openllm[agents]",
+    "openllm[openai]",
     "openllm[playground]",
-    "openllm[ggml]",
 ]
 chatglm = ["cpm-kernels", "sentencepiece"]
 falcon = ["einops", "xformers", "safetensors"]
diff --git a/src/openllm/_llm.py b/src/openllm/_llm.py
index 9d8747fe..e7b4f683 100644
--- a/src/openllm/_llm.py
+++ b/src/openllm/_llm.py
@@ -472,7 +472,7 @@ class LLM(LLMInterface[_M, _T], ReprMixin):
     def save_pretrained(self, save_directory: str | Path, **attrs: t.Any) -> None:
         if isinstance(save_directory, Path):
             save_directory = str(save_directory)
-        if self.__llm_model__ is not None and self.bettertransformer.upper() in ENV_VARS_TRUE_VALUES:
+        if self.__llm_model__ is not None and self.bettertransformer:
             from optimum.bettertransformer import BetterTransformer
 
             self.__llm_model__ = BetterTransformer.reverse(self.__llm_model__)
diff --git a/src/openllm/serialisation/transformers.py b/src/openllm/serialisation/transformers.py
index 8cb6d6bd..cc2a1b1c 100644
--- a/src/openllm/serialisation/transformers.py
+++ b/src/openllm/serialisation/transformers.py
@@ -28,7 +28,6 @@ import cloudpickle
 from bentoml._internal.models.model import CUSTOM_OBJECTS_FILENAME
 from ..utils import LazyLoader, is_torch_available
 from ..utils import generate_context, normalize_attrs_to_model_tokenizer_pair
-from ..utils import ENV_VARS_TRUE_VALUES
 from .constants import FRAMEWORK_TO_AUTOCLASS_MAPPING, MODEL_TO_AUTOCLASS_MAPPING
 
 if t.TYPE_CHECKING:
@@ -221,11 +220,7 @@ def load_model(llm: openllm.LLM[_M, t.Any], *decls: t.Any, **attrs: t.Any) -> Mo
         model = infer_autoclass_from_llm_config(llm, config).from_pretrained(
             llm._bentomodel.path, *decls, config=config, **hub_attrs, **attrs
         )
-    if (
-        llm.bettertransformer.upper() in ENV_VARS_TRUE_VALUES
-        and llm.__llm_implementation__ == "pt"
-        and not isinstance(model, transformers.Pipeline)
-    ):
+    if llm.bettertransformer and llm.__llm_implementation__ == "pt" and not isinstance(model, transformers.Pipeline):
         # BetterTransformer is currently only supported on PyTorch.
         from optimum.bettertransformer import BetterTransformer
 
diff --git a/tests/test_package.py b/tests/test_package.py
index 84fb56c7..d61d2581 100644
--- a/tests/test_package.py
+++ b/tests/test_package.py
@@ -48,7 +48,7 @@ def test_general_build_from_local(tmp_path_factory: pytest.TempPathFactory):
     local_path = tmp_path_factory.mktemp("local_t5")
     llm = openllm.AutoLLM.for_model("flan-t5", model_id=HF_INTERNAL_T5_TESTING, ensure_available=True)
 
-    if llm.bettertransformer.upper() in openllm.utils.ENV_VARS_TRUE_VALUES:
+    if llm.bettertransformer:
         llm.__llm_model__ = llm.model.reverse_bettertransformer()
 
     llm.save_pretrained(local_path)