# Korean optimization

A.X 4.0 Light is a lightweight large language model developed by SKT AI Model Lab, built on Qwen2.5 and optimized for Korean understanding and enterprise deployment.

A Korean-optimized text generation model with instruction-following capability, featuring lightweight design suitable for edge device deployment

This is a 3B-parameter language model optimized for Korean, converted to GGUF format for compatibility with llama.cpp.

A state-of-the-art bilingual language model based on the Llama architecture, specially optimized for Korean understanding and generation while maintaining strong English capabilities.

This is a Korean reranking model optimized based on BAAI/bge-reranker-v2-m3, primarily used for text reranking tasks.

Llama-VARCO-8B-Instruct is a generative model built on Llama. Through additional training, it performs excellently in Korean processing while maintaining English proficiency.

Ko-Llama-3-8B-Instruct is a model specifically developed to enhance the performance of Korean language models, based on supervised fine-tuning of Meta-Llama-3-8B-Instruct.

A Korean language model further pretrained on SOLAR-10.7B, developed by the Fintech Department of Korea Polytechnics

AkaLlama is a Korean large language model fine-tuned from Meta-Llama-3-70b-Instruct, focusing on multi-task practical applications

A Korean-optimized large language model developed by Saltlux AI Lab based on Meta Llama-3-8B, featuring an extended Korean tokenizer and pre-trained on 100GB of curated Korean data

A Korean language model continuously pre-trained on the Llama-3-8B framework, trained with over 60GB of deduplicated text data

A Korean language model based on continued pre-training of Llama-3-8B, trained on 60GB+ deduplicated publicly available text, supporting Korean and English.

A Korean language model continuously pre-trained based on Llama-3-8B, using over 60GB of deduplicated publicly available text for training, supporting Korean and English text generation.

Korean large language model fine-tuned based on SOLAR-10.7B-v1.0, specializing in Korean understanding and generation tasks

Korean instruction model fine-tuned based on EEVE-Korean-2.8B-v1.0, optimized with DPO training

A Korean large language model extended from SOLAR-10.7B-v1.0, optimized for Korean understanding through vocabulary expansion and parameter-frozen training

A Korean vocabulary expansion version based on upstage/SOLAR-10.7B-v1.0, specifically fine-tuned for Korean web-crawled datasets.

Korean-enhanced version based on SOLAR-10.7B-v1.0, continuously pre-trained by expanding vocabulary and Korean corpus

Synatra 7B V0.3 RP is a 7B-parameter Korean large language model based on the Mistral architecture, specializing in role-playing and Korean text generation tasks.

KoreanLM is an open-source project dedicated to developing Korean language models, aiming to address the scarcity of Korean learning resources and inefficient tokenization processing.

A version fine-tuned on Korean datasets based on the Llama2 70B model, focusing on Korean and English text generation tasks

KoLlama2 is an open-source project aimed at improving the Korean performance of the English-based large language model Llama2 and bringing a better language interaction experience to Korean users.

KULLM v2 fine-tuned version based on EleutherAI/polyglot-ko-12.8b, supporting Korean multilingual large language model

KoreanLM is an open-source language model project specifically optimized for Korean, designed for Korean grammar and vocabulary characteristics, providing efficient tokenization solutions

pko-t5 is a T5 model specifically optimized for Korean, trained exclusively on Korean data using BBPE tokenization to address Korean segmentation issues.

A Korean-specific ELECTRA model developed by Seoul National University, excelling in informal text processing tasks