# Suitable for educational scenarios

This is a 42M-parameter Llama 2 architecture float32 precision model trained on the TinyStories dataset, suitable for simple text generation tasks.

This is a 110-million-parameter Llama 2 architecture model trained on the TinyStories dataset, suitable for lightweight text generation tasks.

A 15-million-parameter Llama 2 architecture model trained on the TinyStories dataset

This is a Korean text summarization model based on the T5 architecture, specifically designed for Korean text summarization tasks. It is trained on multiple Korean datasets by fine-tuning the paust/pko-t5-base model.

This model is an IndoT5-base version trained on the translated PAWS dataset, used for generating Indonesian paraphrase texts.