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Llama Lite 134m

Developed by skeskinen
134M parameters, 768-dimensional Llama Lite for generating sentence embeddings
Downloads 93
Release Time : 4/15/2023

Model Overview

A lightweight Llama model trained on the Alpaca dataset, focused on generating high-quality sentence embeddings.

Model Features

Lightweight Design
Only 134M parameters, suitable for deployment in resource-limited environments
Efficient Embedding Generation
Focused on generating high-quality 768-dimensional sentence embeddings
Open Source License
Licensed under Apache-2.0, allowing commercial use

Model Capabilities

Sentence Embedding Generation
Text Feature Extraction

Use Cases

Natural Language Processing
Semantic Similarity Calculation
Calculate text similarity by comparing sentence embeddings
Information Retrieval
Used to build efficient text retrieval systems
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