# Korean text generation

Korean text generation model based on Llama 2 architecture, specialized for Korean natural language processing tasks

A Korean-optimized version based on the Mistral model, using a Korean-optimized tokenizer and fine-tuned with the Synatra dataset

Mini_Synatra_SFT is a Korean text generation model based on Mini_synatra_7b_02 with instruction fine-tuning, supporting ChatML format for instruction interaction.

A multilingual Korean text generation model fine-tuned on the Korean Alpaca dataset v1.1b based on EleutherAI/polyglot-ko-12.8b

Korean language model fine-tuned on the KoAlpaca v1.1b dataset based on polyglot-ko-5.8b

A Korean text generation model based on the GPT-J architecture with 350 million parameters, suitable for various Korean text generation tasks.

T5 1.1 model trained on Korean corpus, utilizing BBPE technology and MeCab morpheme analysis for optimized tokenization

Polyglot-Ko is one of the Korean autoregressive language model series developed by EleutherAI's multilingual team, containing 1.3 billion parameters and specifically optimized for Korean.

KoGPT2 is a Korean generative pre-trained model based on the Huggingface Transformers framework, developed and open-sourced by SKT-AI.