Bge Reranker Large Q4 K M GGUF
This model is converted from BAAI/bge-reranker-large into GGUF format for reranking tasks, supporting both Chinese and English.
Text Embedding Supports Multiple LanguagesOpen Source License:MIT#Multilingual Reranking#Medical QA Optimization#GGUF Efficient Inference
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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