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Mxbai Rerank Large V2 GGUF

Developed by Mungert
mxbai-rerank-large-v2 is a multilingual text reranking model that supports multiple languages and various quantization formats, suitable for different hardware environments.
Downloads 2,209
Release Time : 3/24/2025

Model Overview

This model is a multilingual text reranking model that supports multiple languages and various quantization formats, suitable for different hardware environments. The model provides multiple quantized versions to accommodate different computational and memory requirements.

Model Features

Multilingual Support
Supports 14 languages, including English, Chinese, German, Japanese, etc.
Multiple Quantization Formats
Offers various quantization formats such as BF16, F16, Q4_K, Q6_K, Q8_0 to meet different hardware needs.
Efficient Inference
Optimized for different hardware, supports BF16 and FP16 acceleration, providing high-performance inference.
Low Memory Requirements
Provides extremely low-bit quantized versions (e.g., IQ3_XS, Q4_0), suitable for low-memory devices.

Model Capabilities

Text Reranking
Multilingual Processing
Efficient Inference
Low-Memory Inference

Use Cases

Information Retrieval
Search Engine Result Reranking
Reranks search engine results to improve relevance.
Recommendation Systems
Recommended Content Reranking
Reranks content in recommendation systems to enhance user experience.
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ยฉ 2025AIbase