Alibaba-NLP/gte-multilingual-reranker-base

Model details

About Alibaba-NLP/gte-multilingual-reranker-base

The gte-multilingual-reranker-base model is the first reranker model in the GTE family of models, featuring several key attributes: - High Performance: Achieves state-of-the-art (SOTA) results in multilingual retrieval tasks and multi-task representation model evaluations when compared to reranker models of similar size. - Training Architecture: Trained using an encoder-only transformers architecture, resulting in a smaller model size. Unlike previous models based on decode-only LLM architecture (e.g., gte-qwen2-1.5b-instruct), this model has lower hardware requirements for inference, offering a 10x increase in inference speed. - Long Context: Supports text lengths up to 8192 tokens. - Multilingual Capability: Supports over 70 languages.