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MISTRALNEURAL 7B Slerp

Developed by EdBerg
MISTRALNEURAL-7B-slerp is a 7B parameter large language model created by merging the Mistral-7B and Neural-Chat-7B models using the mergekit tool
Downloads 15
Release Time : 3/29/2024

Model Overview

Uses the slerp spherical linear interpolation method to merge the Mistral-7B base model and Neural-Chat-7B dialogue model, combining both foundational language capabilities and dialogue optimization

Model Features

Model fusion technology
Uses slerp spherical linear interpolation method to precisely merge parameters from two 7B models
Dual-model advantage combination
Combines Mistral-7B's foundational language capabilities with Neural-Chat-7B's dialogue optimization
Layered fusion strategy
Applies different fusion weight configurations to different network layers (self-attention and MLP)

Model Capabilities

Text generation
Dialogue interaction
Instruction following

Use Cases

Dialogue systems
Intelligent assistant
Can be used to build AI assistants with natural conversation capabilities
Content generation
Creative writing
Assists in story creation and content generation
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