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Multilingual E5 Large Instruct Q8 0 GGUF

Developed by Gomez12
Multilingual E5 large instruction model, supporting text embedding and classification tasks in multiple languages with strong cross-language capabilities.
Downloads 90
Release Time : 4/13/2025

Model Overview

This model is a multilingual text embedding model based on the E5 architecture, specifically optimized for instruction tasks. It supports over 100 languages and is suitable for tasks such as text classification, information retrieval, and semantic similarity calculation.

Model Features

Multilingual Support
Supports over 100 languages with strong cross-language processing capabilities.
Instruction Optimization
Specifically optimized for instruction tasks, suitable for application scenarios requiring adherence to specific instructions.
High-performance Text Embedding
Excels in various text embedding tasks, particularly in semantic similarity calculation and information retrieval.

Model Capabilities

Text Classification
Information Retrieval
Semantic Similarity Calculation
Cross-language Text Processing

Use Cases

E-commerce
Product Review Classification
Performs sentiment analysis and classification on multilingual product reviews
Achieved 76.24% accuracy on the MTEB AmazonCounterfactualClassification task (English)
Information Retrieval
Cross-language Document Retrieval
Retrieves relevant information from documents in different languages
Achieved 49.88 map@100 on the MTEB ArguAna retrieval task
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