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jina-v2-rerank-npu-mobile
NexaAI/jina-v2-rerank-npu-mobile
jina-v2-rerank-npu-mobile is a machine learning model from NexaAI. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Run Jina Reranker v2 optimized for Qualcomm NPUs on Android devices.
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At a glance
- Access
- Public
- Created
- Nov 5, 2025
- Updated
- Nov 18, 2025
- SHA
- 3f55780a
Model card
From the Hugging Face model README
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 [email protected].
References
- Created
- Nov 5, 2025
- Updated
- Nov 18, 2025