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[BugFix] Prevent LLM.encode for non-generation Models (#5184)

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Co-authored-by: mgoin <michael@neuralmagic.com>
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Robert Shaw 2024-06-01 19:35:41 -04:00 committed by GitHub
parent c2d6d2f960
commit 044793d8df
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10
vllm/entrypoints/llm.py
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@ -276,6 +276,11 @@ class LLM:
considered legacy and may be deprecated in the future. You should
instead pass them via the ``inputs`` parameter.
"""
if self.llm_engine.model_config.embedding_mode:
raise ValueError(
"LLM.generate() is only supported for generation models "
"(XForCausalLM).")
if prompt_token_ids is not None or multi_modal_data is not None:
inputs = self._convert_v1_inputs(
prompts=cast(Optional[Union[str, List[str]]], prompts),
@ -420,6 +425,11 @@ class LLM:
considered legacy and may be deprecated in the future. You should
instead pass them via the ``inputs`` parameter.
"""
if not self.llm_engine.model_config.embedding_mode:
raise ValueError(
"LLM.encode() is only supported for embedding models (XModel)."
)
if prompt_token_ids is not None or multi_modal_data is not None:
inputs = self._convert_v1_inputs(
prompts=cast(Optional[Union[str, List[str]]], prompts),