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Minilm L6 H384 Uncased
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Minilm L6 H384 Uncased

Developed by nreimers
This is a 6-layer lightweight version of microsoft/MiniLM-L12-H384-uncased, achieved by retaining every other layer for reduced size
Large Language ModelOpen Source License:MIT#Lightweight BERT#Efficient Inference#Text Embedding
Downloads 9,300
Release Time : 3/2/2022

Model Overview

A lightweight version based on the original 12-layer MiniLM model, retaining core functionality while reducing the number of layers, suitable for scenarios requiring efficient inference

Model Features

Lightweight Design
Achieves model compression by reducing the number of layers (from 12 to 6), suitable for resource-constrained environments
Retained Core Capabilities
Adopts a strategy of retaining alternate layers to maximize preservation of the original model's semantic understanding ability
Efficient Inference
Fewer layers result in faster inference speed and lower memory usage

Model Capabilities

Text Embedding
Semantic Understanding
Sentence Similarity Calculation

Use Cases

Semantic Search
Document Similarity Matching
Quickly calculate semantic similarity between documents/sentences
Efficiently implements large-scale document retrieval
Lightweight NLP Applications
Mobile NLP
Deploy semantic understanding functions on resource-limited devices
Reduces hardware requirements while maintaining usable accuracy
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