# High-Precision Reranking

This repository contains GGUF format model files of mixedbread-ai/mxbai-rerank-large-v2, quantized by TensorBlock's machine, compatible with llama.cpp.

A fine-tuned version of BAAI/bge-m3 on Thai legal query data, supporting dense retrieval, lexical matching, and multi-vector interaction

A model specifically designed for Arabic reranking tasks, capable of accurately evaluating the relevance between queries and passages.

Ruri-Reranker is a reranking model specifically optimized for Japanese text, based on the sentence-transformers architecture, effectively improving the relevance ranking of search results.

A multilingual sentence embedding model based on the sentence-transformers library, supporting sentence similarity calculation and feature extraction for French and English.

A high-performance cross-encoder model optimized for Japanese text reranking tasks, featuring a 24-layer architecture with 1024 hidden units

A cross-encoder model trained on the MS Marco passage ranking task for query-passage relevance scoring in information retrieval.