all-MiniLM-L6-v2-GGUF Open Source Model - Free for English Text Feature Extraction and Similarity Calculation

All MiniLM L6 V2 GGUF

Developed by leliuga

all-MiniLM-L6-v2 is a lightweight sentence embedding model based on the MiniLM architecture, suitable for English text feature extraction and sentence similarity calculation.

Text Embedding EnglishOpen Source License:Apache-2.0 #English sentence embedding #Lightweight semantic matching #Multi-scenario text similarity

Downloads 598

Release Time : 3/15/2024

Model Overview

This model is an efficient sentence embedding model capable of converting text into high-dimensional vector representations, primarily used for sentence similarity calculation and feature extraction tasks.

Model Features

Lightweight design

The model has fewer parameters, making it suitable for deployment in resource-constrained environments.

Efficient feature extraction

Capable of quickly generating high-quality sentence embeddings.

Multi-task training

Trained on multiple datasets, exhibiting good generalization capabilities.

Model Capabilities

Sentence embedding

Feature extraction

Sentence similarity calculation

Use Cases

Information retrieval

Document similarity search

Achieves fast retrieval by calculating the similarity of document embeddings

Q&A system

Question matching

Calculates the similarity between user questions and knowledge base questions

Property	Details
Base Model	sentence-transformers/all-MiniLM-L6-v2
Model Creator	Sentence Transformers
Model Name	all-MiniLM-L6-v2
Quantized By	Leliuga
Pipeline Tag	Sentence Similarity
Model Type	GGUF
Training Data	s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net, search_qa, eli5, snli, multi_nli, wikihow, natural_questions, trivia_qa, embedding-data/sentence-compression, embedding-data/flickr30k-captions, embedding-data/altlex, embedding-data/simple-wiki, embedding-data/QQP, embedding-data/SPECTER, embedding-data/PAQ_pairs, embedding-data/WikiAnswers

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All MiniLM L6 V2 GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

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Model Information

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