B

Bge Reranker Base Q8 0 GGUF

Developed by xinming0111
This model is converted from BAAI/bge-reranker-base into the GGUF format, primarily used for text reordering tasks.
Downloads 106
Release Time : 12/16/2024

Model Overview

A GGUF format model converted from BAAI/bge-reranker-base, suitable for text reordering tasks and supports both English and Chinese.

Model Features

GGUF Format
The model has been converted to GGUF format for easy use with llama.cpp.
Multilingual Support
Supports text reordering tasks in both English and Chinese.
High Performance
Demonstrates excellent performance in multiple reordering tasks, such as high MAP and MRR scores on the CMedQAv1 and CMedQAv2 datasets.

Model Capabilities

Text Reordering
English and Chinese Text Processing

Use Cases

Information Retrieval
Medical QA Reordering
Reorders retrieved results in medical QA systems to improve the ranking of relevant answers.
Achieves MAP scores of 81.27 and 84.10 on the CMedQAv1 and CMedQAv2 datasets, respectively.
General Information Retrieval
Optimizes the relevance ranking of search results in general information retrieval systems.
Performs well on the MMarcoReranking and T2Reranking datasets.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase