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Gte Large Zh GGUF
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Gte Large Zh GGUF

Developed by linlueird
This model is converted from thenlper/gte-large-zh to GGUF format via llama.cpp, primarily used for Chinese text embedding and sentence similarity calculation.
Text Embedding EnglishOpen Source License:MIT#Chinese Semantic Similarity#Multi-task Text Processing#Efficient Retrieval System
Downloads 37
Release Time : 2/14/2025

Model Overview

A GGUF format model converted from thenlper/gte-large-zh, supporting Chinese text embedding and various natural language processing tasks.

Model Features

Multi-task Evaluation Benchmark
Comprehensively evaluated on various Chinese natural language processing tasks
Sentence Embedding
Capable of generating high-quality sentence embeddings
GGUF Format Support
Supports efficient inference via the llama.cpp framework

Model Capabilities

Semantic Text Similarity Calculation
Text Classification
Information Retrieval
Re-ranking
Text Clustering
Sentence Pair Classification

Use Cases

Semantic Similarity
QA System
Calculate semantic similarity between questions and candidate answers
Achieves Pearson correlation coefficient of 48.94 on MTEB AFQMC dataset
Text Matching
Determine if two sentences express the same meaning
Achieves Pearson correlation coefficient of 69.51 on MTEB LCQMC dataset
Information Retrieval
Medical QA Retrieval
Retrieve relevant answers from medical knowledge base
Achieves MAP@10 of 36.50% on MTEB CmedqaRetrieval dataset
E-commerce Product Retrieval
Retrieve relevant products based on user queries
Achieves MAP@10 of 62.17% on MTEB EcomRetrieval dataset
Text Classification
Sentiment Analysis
Determine sentiment polarity of text
Achieves accuracy of 76.48% on MTEB multilingual sentiment analysis dataset
Intent Recognition
Identify intent categories from user input
Achieves accuracy of 73.31% on MTEB Massive Intent Classification (Chinese) dataset
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