metadata

library_name: transformers
license: apache-2.0
base_model:
  - Saxo/Linkbricks-Horizon-AI-Nous-Hermes-3-Llama3.1-Korean-cpt-8b
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

Model Card for Model ID

AI 와 빅데이터 분석 전문 기업인 Linkbricks의 데이터사이언티스트인 지윤성(Saxo) 이사가
Linkbricks-Horizon-AI-Nous-Hermes-3-Llama3.1-Korean-cpt-8b 베이스모델을 사용해서 H100-80G 8개를 통해 SFT->DPO 한 한글 언어 모델
한글 데이터셋을 기준으로 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.
-토크나이저는 단어 확장 없이 베이스 모델 그대로 사용
-수학, 논리판단 등이 강화된 모델
-COT(Chain of Thought) 강화 모델
-128k-Context Window
-한글 Function Call 및 Tool Calling 지원
-Deepspeed Stage=3, rslora 및 BAdam Layer Mode 사용

Finetuned by Mr. Yunsung Ji (Saxo), a data scientist at Linkbricks, a company specializing in AI and big data analytics
SFT->DPO training model based on Saxo/Linkbricks-Horizon-AI-Nous-Hermes-3-Llama3.1-Korean-cpt-8b through 8 H100-80Gs as a Korean language model
It is a model that has been trained to handle Korean-Chinese-English-Japanese cross-training data and 10M korean data sets and logic judgment data for various tasks to enable cross-fertilization processing and complex Korean logic & math problems.
-Tokenizer uses the base model without word expansion
-Models enhanced with high-dimensional analysis of math and decision making
-Enhanced for COT(Chain of Thought) performance boost up
-128k-Context Window
-Support for Korean Functioncall and Tool Calling
-Deepspeed Stage=3, use rslora and BAdam Layer Mode