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Tinyllama 42M Fp32
This is a 42M-parameter Llama 2 architecture float32 precision model trained on the TinyStories dataset, suitable for simple text generation tasks.
Downloads 517
Release Time : 9/16/2023
Model Overview
This model is converted from [karpathy/tinyllamas](https://huggingface.co/karpathy/tinyllamas) and is primarily used for simple story text generation.
Model Features
Lightweight model
Only 42M parameters, suitable for resource-constrained environments.
Based on Llama 2 architecture
Utilizes the popular Llama 2 architecture with good text generation capabilities.
float32 precision
Trained with float32 precision, balancing performance and accuracy.
Model Capabilities
Text generation
Story creation
Use Cases
Education
Children's story generation
Generates simple stories suitable for children to read.
Can generate coherent short story texts.
Research
Small language model research
Used to study the behavior and performance of small language models.
Can serve as a research benchmark model.
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