---
library_name: transformers
license: apache-2.0
datasets:
- Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset
- Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset
- >-
  Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface
- >-
  Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_prompt_text_huggingface
- >-
  Saxo/ko_aspect_sentiment_sns_mall_sentiment_linkbricks_single_dataset_with_prompt_text_huggingface
- Saxo/ko_summarization_linkbricks_single_dataset_with_prompt_text_huggingface
- >-
  Saxo/OpenOrca_cleaned_kor_linkbricks_single_dataset_with_prompt_text_huggingface
- >-
  Saxo/ko_government_qa_total_linkbricks_single_dataset_with_prompt_text_huggingface_sampled
- Saxo/ko-news-corpus-1
- Saxo/ko-news-corpus-2
- Saxo/ko-news-corpus-3
- Saxo/ko-news-corpus-4
- Saxo/ko-news-corpus-5
- Saxo/ko-news-corpus-6
- Saxo/ko-news-corpus-7
- Saxo/ko-news-corpus-8
- Saxo/ko-news-corpus-9
- maywell/ko_Ultrafeedback_binarized
- youjunhyeok/ko-orca-pair-and-ultrafeedback-dpo
- lilacai/glaive-function-calling-v2-sharegpt
- kuotient/gsm8k-ko
language:
- ko
- en
- jp
- cn
pipeline_tag: text-generation
base_model:
- Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B-COT-boost
---

# Model Card for Model ID

<div align="center">
<img src="https://www.linkbricks.com/wp-content/uploads/2022/03/%E1%84%85%E1%85%B5%E1%86%BC%E1%84%8F%E1%85%B3%E1%84%87%E1%85%B3%E1%84%85%E1%85%B5%E1%86%A8%E1%84%89%E1%85%B3%E1%84%85%E1%85%A9%E1%84%80%E1%85%A9-2-1024x804.png" />
</div>


AI 와 빅데이터 분석 전문 기업인 Linkbricks의 데이터사이언티스트인 지윤성(Saxo) 이사가 <br>
NousResearch/Hermes-3-Llama-3.1-8B 베이스모델을 사용해서 H100-80G 8개를 통해 약 30%정도의 파라미터를 한국어 CPT(Continued-Pretraining)->SFT->DPO 한 <br>
한글 언어 모델인 Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B-COT-boost를 추가적인 한글, 영어, 일본어, 중국어 데이터들을 활용해서 다양한 테스크별 한국어-중국어-영어-일본어 교차 학습 데이터와 수학 및 
논리판단 데이터를 통하여 한중일영 언어 교차 증강 처리와 복잡한 논리 문제 역시 대응 가능하도록 훈련한 모델이다.<br> 
-한글, 영어, 일어, 중국어 처리 강화 버전<br>
-토크나이저는 단어 확장 없이 베이스 모델 그대로 사용<br>
-고객 리뷰나 복잡한 한글 추론 및 소셜 포스팅 고차원 분석 및 코딩과 작문, 수학, 논리판단 등이 강화된 모델<br>
-128k-Context Window<br>
<br><br>

Dr. Yunsung Ji (Saxo), a data scientist at Linkbricks, a company specializing in AI and big data analytics, has developed a Korean language model<br>
using the Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B-COT-boost, a Korean language model that uses the NousResearch/Hermes-3-Llama-3.1-8B basemodel to train about 30% of the parameters through 8 H100-80Gs <br>
using Korean CPT (Continued-Pretraining)->SFT->DPO.
It is a model trained to handle cross-lingual augmentation and complex logic problems by utilizing additional Korean data, cross-training data of Korean, Chinese, English, and Japanese by various tasks, and math and logic judgment data.

Translated with DeepL.com (free version) <br>
-Reinforced English, Korean, Japanese, Chinese Language processing<br>
-Tokenizer uses the base model without word expansion<br>
-Models enhanced with high-dimensional analysis of customer reviews and social posts, as well as coding, writing, math, decision making and complex inference<br>
-128k-Context Window<br>
-Deepspeed Stage=3, use rslora and BAdam Layer Mode<br>
<br><br>

<a href="www.linkbricks.com">www.linkbricks.com</a>, <a href="www.linkbricks.vc">www.linkbricks.vc</a>