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refactor example - qwen3_reranker (#19847)

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Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>
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Reid 2025-06-24 22:03:20 +08:00 committed by GitHub
parent 53da4cd397
commit 26d34eb67e
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1 changed files with 22 additions and 10 deletions
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32
examples/offline_inference/qwen3_reranker.py
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@ -22,15 +22,19 @@ model_name = "Qwen/Qwen3-Reranker-0.6B"
# If you want to load the official original version, the init parameters are # If you want to load the official original version, the init parameters are
# as follows. # as follows.
model = LLM(
model=model_name, def get_model() -> LLM:
task="score", """Initializes and returns the LLM model for Qwen3-Reranker."""
hf_overrides={ return LLM(
"architectures": ["Qwen3ForSequenceClassification"], model=model_name,
"classifier_from_token": ["no", "yes"], task="score",
"is_original_qwen3_reranker": True, hf_overrides={
}, "architectures": ["Qwen3ForSequenceClassification"],
) "classifier_from_token": ["no", "yes"],
"is_original_qwen3_reranker": True,
},
)
# Why do we need hf_overrides for the official original version: # Why do we need hf_overrides for the official original version:
# vllm converts it to Qwen3ForSequenceClassification when loaded for # vllm converts it to Qwen3ForSequenceClassification when loaded for
@ -51,7 +55,8 @@ suffix = "<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n"
query_template = "{prefix}<Instruct>: {instruction}\n<Query>: {query}\n" query_template = "{prefix}<Instruct>: {instruction}\n<Query>: {query}\n"
document_template = "<Document>: {doc}{suffix}" document_template = "<Document>: {doc}{suffix}"
if __name__ == "__main__":
def main() -> None:
instruction = ( instruction = (
"Given a web search query, retrieve relevant passages that answer the query" "Given a web search query, retrieve relevant passages that answer the query"
) )
@ -72,6 +77,13 @@ if __name__ == "__main__":
] ]
documents = [document_template.format(doc=doc, suffix=suffix) for doc in documents] documents = [document_template.format(doc=doc, suffix=suffix) for doc in documents]
model = get_model()
outputs = model.score(queries, documents) outputs = model.score(queries, documents)
print("-" * 30)
print([output.outputs.score for output in outputs]) print([output.outputs.score for output in outputs])
print("-" * 30)
if __name__ == "__main__":
main()