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fix: bug: ModelBuilder overwrites user-provided HF_MODEL_ID for DJL Serving, preventi (5529) #5734

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fix: bug: ModelBuilder overwrites user-provided HF_MODEL_ID for DJL Serving, preventi (5529) #5734

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fix: bug: ModelBuilder overwrites user-provided HF_MODEL_ID for DJL S…
aviruthen Apr 7, 2026
4badbdd
fix: address review comments (iteration #1)
aviruthen Apr 7, 2026
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14 changes: 7 additions & 7 deletions sagemaker-serve/src/sagemaker/serve/model_builder_servers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -136,7 +136,7 @@ def _build_for_torchserve(self) -> Model:
if isinstance(self.model, str):
# Configure HuggingFace model support
if not self._is_jumpstart_model_id():
self.env_vars.update({"HF_MODEL_ID": self.model})
self.env_vars.setdefault("HF_MODEL_ID", self.model)

# Add HuggingFace token if available
if self.env_vars.get("HUGGING_FACE_HUB_TOKEN"):
Expand Down Expand Up @@ -212,7 +212,7 @@ def _build_for_tgi(self) -> Model:

if isinstance(self.model, str) and not self._is_jumpstart_model_id():
# Configure HuggingFace model for TGI
self.env_vars.update({"HF_MODEL_ID": self.model})
self.env_vars.setdefault("HF_MODEL_ID", self.model)

self.hf_model_config = _get_model_config_properties_from_hf(
self.model, self.env_vars.get("HUGGING_FACE_HUB_TOKEN")
Expand Down Expand Up @@ -320,7 +320,7 @@ def _build_for_djl(self) -> Model:

if isinstance(self.model, str) and not self._is_jumpstart_model_id():
# Configure HuggingFace model for DJL
self.env_vars.update({"HF_MODEL_ID": self.model})
self.env_vars.setdefault("HF_MODEL_ID", self.model)

# Get model configuration for DJL optimization
self.hf_model_config = _get_model_config_properties_from_hf(
Expand Down Expand Up @@ -426,7 +426,7 @@ def _build_for_triton(self) -> Model:
self.env_vars.update({"HF_TASK": model_task})

# Configure HuggingFace authentication
self.env_vars.update({"HF_MODEL_ID": self.model})
self.env_vars.setdefault("HF_MODEL_ID", self.model)
if self.env_vars.get("HUGGING_FACE_HUB_TOKEN"):
self.env_vars["HF_TOKEN"] = self.env_vars.get("HUGGING_FACE_HUB_TOKEN")

Expand Down Expand Up @@ -532,7 +532,7 @@ def _build_for_tei(self) -> Model:

if isinstance(self.model, str) and not self._is_jumpstart_model_id():
# Configure HuggingFace model for TEI
self.env_vars.update({"HF_MODEL_ID": self.model})
self.env_vars.setdefault("HF_MODEL_ID", self.model)

self.hf_model_config = _get_model_config_properties_from_hf(
self.model, self.env_vars.get("HUGGING_FACE_HUB_TOKEN")
Expand Down Expand Up @@ -676,7 +676,7 @@ def _build_for_transformers(self) -> Model:
if self.inference_spec is not None:
hf_model_id = self.inference_spec.get_model()
if isinstance(hf_model_id, str): # Only if it's a valid HF model ID
self.env_vars.update({"HF_MODEL_ID": hf_model_id})
self.env_vars.setdefault("HF_MODEL_ID", hf_model_id)
# Get HF config only for string model IDs
if hasattr(self.env_vars, "HF_API_TOKEN"):
self.hf_model_config = _get_model_config_properties_from_hf(
Expand All @@ -687,7 +687,7 @@ def _build_for_transformers(self) -> Model:
hf_model_id, self.env_vars.get("HUGGING_FACE_HUB_TOKEN")
)
elif isinstance(self.model, str): # Only set HF_MODEL_ID if model is a string
self.env_vars.update({"HF_MODEL_ID": self.model})
self.env_vars.setdefault("HF_MODEL_ID", self.model)
# Get HF config for string model IDs
if hasattr(self.env_vars, "HF_API_TOKEN"):
self.hf_model_config = _get_model_config_properties_from_hf(
Expand Down
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