jina-reranker-v3 Full Speed NPU Mode
The fastest way to get this model running locally is via Optional Features.
Refer to the instructions below to proceed.
The setup auto-streams the model assets (expect a multi-GB download).
An automated hardware sweep ensures the system will select the best tuning parameters.
The jina-reranker-v3 is a state-of-the-art neural reranking model designed to improve relevance scoring in information retrieval systems. It leverages a deep transformer architecture fine‑tuned on diverse ranking datasets, achieving high precision across multiple languages. The model supports up to 512 token contexts, enabling detailed analysis of long documents and queries. Its accuracy and efficiency make it suitable for production environments where low latency is critical. Below is a quick overview of its key technical specifications:
| Metric | Value |
|---|---|
| Max Sequence Length | 512 tokens |
| Supported Languages | English, Chinese, multilingual |
| Training Data Size | 10M+ pairs |
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