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Aligner 7b V1.0

Developed by aligner
A model-agnostic plug-and-play module suitable for open-source and API-based models, enhancing AI safety through residual correction strategies
Downloads 109
Release Time : 2/6/2024

Model Overview

An alignment module trained on the Llama2 base version, primarily used to correct model outputs to make them more beneficial and harmless

Model Features

Model Agnosticism
Can be adapted as a plug-and-play module for various open-source and API models
Residual Correction Strategy
Uses an innovative residual correction method to optimize model outputs
Multi-Scale Support
Offers versions with various parameter scales such as 7B/13B/70B

Model Capabilities

Harmful Content Detection
Text Safety Correction
QA Pair Optimization
Ethical Alignment

Use Cases

Content Safety
Harmful QA Correction
Automatically detects and corrects QA content containing harmful information
Transforms dangerous content into safe and compliant expressions
AI Ethics
Ethical Alignment
Ensures model outputs comply with ethical standards
Outputs more responsible and harmless content
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