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Tinyllama 110M
This is a 110-million-parameter Llama 2 architecture model trained on the TinyStories dataset, suitable for lightweight text generation tasks.
Downloads 1,472
Release Time : 9/16/2023
Model Overview
This model is a small language model based on the Llama 2 architecture, designed specifically for lightweight text generation tasks and suitable for resource-constrained environments.
Model Features
Lightweight design
A small model with only 110 million parameters, suitable for deployment in resource-limited environments
Llama 2 architecture
Based on the popular Llama 2 architecture, providing a solid foundation for text generation
Trained on TinyStories
Trained using the TinyStories dataset, focusing on the ability to generate simple stories
Model Capabilities
Text generation
Story creation
Simple dialogue
Use Cases
Education
Children's story generation
Generate simple short stories for children
Simple story content suitable for young readers
Entertainment
Simple chatbot
Build lightweight conversational interaction applications
Basic conversational interaction experience
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