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Gte Multilingual Reranker Base

Developed by Alibaba-NLP
The first multilingual reranking model in the GTE series, supporting 70+ languages with high performance and long text processing capabilities.
Downloads 239.91k
Release Time : 7/20/2024

Model Overview

This model is a reranking model in the GTE series, specifically designed for multilingual retrieval tasks, supporting long text input and multilingual processing, suitable for information retrieval and text ranking tasks.

Model Features

High Performance
Achieves state-of-the-art (SOTA) performance in multilingual retrieval tasks and multi-task representation model evaluations.
Efficient Architecture
Uses an encoder-only Transformer architecture, with a small model size and fast inference speed, offering 10x speed improvement compared to pure decoder LLM architectures.
Long Text Support
Supports text input of up to 8192 tokens.
Multilingual Capability
Supports over 70 languages.

Model Capabilities

Multilingual Text Ranking
Long Text Processing
Information Retrieval

Use Cases

Information Retrieval
Multilingual Document Ranking
Ranks multilingual documents by relevance to improve retrieval effectiveness.
Achieves SOTA performance in multilingual retrieval tasks.
Question Answering Systems
Ranks candidate answers in QA systems to improve answer quality.
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