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Bge Reranker Large Q4 K M GGUF

Developed by DrRos
This model is converted from BAAI/bge-reranker-large into GGUF format for reranking tasks, supporting both Chinese and English.
Downloads 164
Release Time : 11/21/2024

Model Overview

This model is a reranker primarily used for result reranking tasks in information retrieval to improve result relevance.

Model Features

Efficient Reranking
Capable of efficiently reranking information retrieval results to improve relevance.
Bilingual Support (Chinese-English)
Supports reranking tasks in both Chinese and English.
GGUF Format
Uses GGUF format for easy integration within the llama.cpp ecosystem.

Model Capabilities

Information retrieval result reranking
Chinese-English text processing

Use Cases

Information Retrieval
Medical QA System
Used for result reranking in medical QA systems to enhance answer relevance.
Performs excellently on CMedQAv1 and CMedQAv2 datasets
General Search Engine
Used for result reranking in general search engines to improve user experience.
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