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bug: fix qwen3 reranker vllm precision#4747

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qinxuye merged 1 commit intoxorbitsai:mainfrom
ZhikaiGuo960110:fix/vllm_qwen3_reranker_precision
Mar 31, 2026
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bug: fix qwen3 reranker vllm precision#4747
qinxuye merged 1 commit intoxorbitsai:mainfrom
ZhikaiGuo960110:fix/vllm_qwen3_reranker_precision

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@ZhikaiGuo960110 ZhikaiGuo960110 commented Mar 31, 2026

to fix this issue, and be consistent with vllm reranker dataset precision score, remove this special template for qwen3 reranker family.
fix #4744

@XprobeBot XprobeBot added the bug Something isn't working label Mar 31, 2026
@XprobeBot XprobeBot added this to the v2.x milestone Mar 31, 2026
@qinxuye qinxuye changed the title fix:qwen3_reranker_vllm_precision bug: fix qwen3 reranker vllm precision Mar 31, 2026
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LGTM

@qinxuye qinxuye merged commit 60abe8d into xorbitsai:main Mar 31, 2026
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@XiaoliChan
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@qinxuye Reference to this issue: QwenLM/Qwen3-Embedding#71, include template in VLLM is better than without the template, so I think we shouldn't remove the template... (maybe have a variable to control it)

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qinxuye commented Apr 1, 2026

@ZhikaiGuo960110 Can you look at this?

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ZhikaiGuo960110 commented Apr 1, 2026

image after testing, result relevance score is indeed a big difference, without template, the score is indeed close and not precise, we should not remove template. However, in the scenario of Arguana Rerank dataset, I use evalscope to evaluate Qwen3 0.6B reranker model(with template, score is 0.699)(without template, score is 0.736, in consistent with vllm serve behavior and precision score), so the better way to approach this issue is to have variable control template opening. with template, image without template, image

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v2.4.0 NV 环境下,vllm engine + qwen3_reranker_0.6B 数据集精度低于vllm serve 方式, 低0.3

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