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Magnolia V3 Gemma2 8k 9B
Magnolia-v3-Gemma2-8k-9B is a model created by merging pre-trained language models using mergekit, providing a new solution for text generation.
Downloads 2,045
Release Time : 12/30/2024
Model Overview
This model uses the SLERP merging method, combining the advantages of multiple pre-trained language models and focusing on text generation tasks.
Model Features
Model merging technology
Use the mergekit tool to merge multiple pre-trained language models, combining the advantages of each model
SLERP merging method
Use the SLERP (Spherical Linear Interpolation) method for model merging to optimize model performance
Long text processing ability
Supports an 8k context length, suitable for long text generation tasks
Model Capabilities
Text generation
Long text processing
Use Cases
Text generation
Content creation
Can be used for the automatic generation of long text content such as articles and stories
Dialogue system
Suitable for building chatbots that require long context memory
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