NexaAI/jina-v2-rerank-npu

Jina Reranker v2 Base Multilingual

Run Jina Reranker v2 optimized for Qualcomm NPUs with nexaSDK.

Quickstart

1. Install NexaSDK and create a free account at sdk.nexa.ai

2. Activate your device with your access token:

   nexa config set license '<access_token>'
   

3. Run the model on Qualcomm NPU in one line:

   nexa infer NexaAI/jina-v2-rerank-npu
   

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 licensed under CC BY-NC 4.0, intended for research and evaluation use. Commercial use requires separate arrangement.

References

• Model page on Hugging Face
• Jina AI documentation / model site