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Mxbai Rerank Large V2 GGUF

Developed by tensorblock
This repository contains GGUF format model files of mixedbread-ai/mxbai-rerank-large-v2, quantized by TensorBlock's machine, compatible with llama.cpp.
Downloads 150
Release Time : 3/23/2025

Model Overview

This is a text ranking model that supports multilingual text reranking tasks.

Model Features

Multilingual Support
Supports text ranking tasks in 14 languages
Multiple Quantization Options
Provides 12 different quantization levels from Q2_K to Q8_0
Compatible with llama.cpp
Model files are compatible with llama.cpp commit b4882

Model Capabilities

Text Ranking
Multilingual Processing

Use Cases

Information Retrieval
Search Result Reranking
Rerank search engine results to improve relevance
Recommendation Systems
Recommendation Content Ranking
Rank recommended content by relevance
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