# High-precision Retrieval

This is the result of GPTQ quantization on Qwen/Qwen3-Reranker-4B, significantly reducing VRAM usage.

A legal domain embedding model optimized based on the ModernBERT architecture, supporting multi-dimensional feature extraction and sentence similarity calculation

An English text re-ranking model based on the ModernBERT pre-training architecture, developed by Alibaba's Tongyi Lab, supporting long-text processing up to 8192 tokens.

A cross-lingual reranking model based on Bloomz-3b, designed to measure semantic relevance between queries and contexts, supporting French and English.

The ACGE Text Embedding Model is designed for generating text embeddings and supports various natural language processing tasks.

xiaobu-embedding is a multi-task embedding model that supports various Chinese natural language processing tasks, including text similarity calculation, classification, clustering, and retrieval.

The GTE Large Chinese Model is a multilingual text embedding model focused on semantic representation and similarity calculation for Chinese text.

tao-8k-origin is a model focused on sentence similarity calculation, supporting multiple similarity measurement methods and excelling in various Chinese evaluation datasets.