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Jina Reranker v2 Base Multilingual (Mobile)

Run Jina Reranker v2 optimized for Qualcomm NPUs on Android devices.

Quickstart

See Documentation

Description

Jina Reranker v2 Base Multilingual is a multilingual cross-encoder model for document reranking. Given a query–document pair, it outputs a relevance score to improve ranking in retrieval systems.

Features

  • Cross-encoder architecture for fine-grained relevance scoring
  • Supports multilingual inputs
  • Handles inputs up to 1024 tokens using sliding window chunking
  • Employs flash attention optimizations

Use Cases

  • Reranking candidate passages in multilingual search
  • Enhancing retrieval in QA / RAG pipelines
  • Improving semantic relevance in recommendation systems

Inputs & Outputs

  • Input: Query & document (text pair)
  • Output: Scalar relevance score (for ranking)

License

This model is released under the Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0) license.
Non-commercial use, modification, and redistribution are permitted with attribution.
For commercial licensing, please contact dev@nexa.ai.

References

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