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tejas / vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

0 0 122 Python

[Frontend][3/N] Improve all pooling task | Support binary embedding response (#27066)

Signed-off-by: wang.yuqi <noooop@126.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
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wang.yuqi committed
1f633b86329b1657b08798b4c3a8c6dd46334b74
Parent: a4c29e6
Committed by GitHub <noreply@github.com> on 10/22/2025, 10:38:57 AM