# Korean-English Bilingual Generation

GECKO is a 7-billion-parameter decoder-only Transformer model trained on Korean, English, and code, released under the Apache 2.0 license.

This is a GGUF-format quantized version of the beomi/OPEN-SOLAR-KO-10.7B model, supporting 2-8 bit quantization levels, suitable for Korean and English text generation tasks.

A Korean-English bilingual autoregressive language model based on LLaMA2-13B architecture, focusing on Korean corpus learning while retaining English capabilities

42dot LLM-PLM is a pre-trained language model developed by 42dot, supporting Korean and English text generation tasks.

KoLLaMA is a large language model based on the LLaMA architecture, trained on Korean/English/code datasets, focusing on Korean open-source large language model research.

KE-T5 is a Korean-English bilingual text generation model based on the T5 architecture, developed by the Korea Electronics Technology Institute, supporting cross-lingual knowledge transfer for dialogue generation tasks.