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Bge Multilingual Gemma2 GPTQ
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Bge Multilingual Gemma2 GPTQ

Developed by shuyuej
This is the 4-bit GPTQ quantized version of the BAAI/bge-multilingual-gemma2 model, supporting multilingual text embedding tasks.
Text Embedding
Transformers
Open Source License:Apache-2.0#Multilingual Embedding#4bit Quantization#Efficient Inference
Downloads 34
Release Time : 4/25/2025

Model Overview

This model is the quantized version of BGE-Multilingual-Gemma2, primarily used for multilingual text embedding tasks, converting text into high-dimensional vector representations.

Model Features

4-bit Quantization
Uses GPTQ method for 4-bit quantization, significantly reducing model size and memory usage.
Multilingual Support
Supports text embedding tasks in multiple languages.
Efficient Inference
Quantized model offers faster inference speed and lower resource requirements.

Model Capabilities

Text Vectorization
Multilingual Text Processing
Semantic Similarity Calculation

Use Cases

Information Retrieval
Cross-Language Document Retrieval
Retrieve relevant documents in a multilingual document library.
Semantic Analysis
Multilingual Text Similarity Calculation
Calculate semantic similarity between texts in different languages.
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