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BGE Reranker v2 gemma

BGE Reranker v2 gemma is a 2.51B multilingual reranker in BAAI’s v2 series. The docs position it as a stronger large-model option for multilingual contexts, specifically noting solid English performance alongside broader multilingual capability. At 10 GB, it is the heavier general multilingual reranker in the v2 lineup for users prioritizing quality over lightweight deployment.
Text Gen 7
Released: March 18, 2024

Overview

BGE Reranker v2 gemma is BAAI’s larger multilingual reranker in the v2 family. It is designed for stronger multilingual reranking performance, with the docs highlighting good English proficiency alongside broad multilingual capability.

About Beijing Academy of Artificial Intelligence (BAAI)

Beijing Academy of Artificial Intelligence (BAAI), also known as Zhiyuan Institute, is a Chinese non-profit AI research laboratory established in November 2018. BAAI conducts fundamental AI research, develops open-source models (including WuDao, BGE embeddings, Emu, and RoboBrain), and fosters collaboration between academia and industry. Known for creating the BGE (BAAI General Embedding) series of embedding models used in RAG systems worldwide.

Industry: Research
Company Size: 260
Location: Beijing, Beijing, CN
Website: baai.ac.cn
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Tools using BGE Reranker v2 gemma

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Last updated: April 16, 2026
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