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Bge M3 Gguf

Developed by vonjack
BAAI/bge-m3 is an efficient sentence transformer model focused on feature extraction and sentence similarity calculation.
Downloads 1,470
Release Time : 5/4/2024

Model Overview

This model is primarily used for calculating similarity between sentences and supports high-precision feature extraction tasks.

Model Features

High-precision sentence similarity calculation
Accurately calculates similarity between sentences, suitable for various natural language processing tasks.
Efficient feature extraction
Supports efficient sentence feature extraction, suitable for large-scale text processing.

Model Capabilities

Sentence similarity calculation
Feature extraction

Use Cases

Natural language processing
Text matching
Used to calculate similarity between two sentences, applicable in scenarios like search engines and recommendation systems.
High-precision similarity calculation results, e.g., the similarity between 'China' and 'People's Republic of China' is 0.999.
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