Update README.md

README.md

@@ -1,47 +1,71 @@
----
-base_model:
-- Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B
-- migtissera/Tess-v2.5-Gemma-2-27B-alpha
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# Linkbricks-Horizon-AI-Korean-Pro-Outside-27B
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-## Merge Details
-### Merge Method
-
-This model was merged using the SLERP merge method.
-
-### Models Merged
-
-The following models were included in the merge:
-* [Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B)
-* [migtissera/Tess-v2.5-Gemma-2-27B-alpha](https://huggingface.co/migtissera/Tess-v2.5-Gemma-2-27B-alpha)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-base_model: Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B
-dtype: bfloat16
-merge_method: slerp
-parameters:
- t:
- - filter: self_attn
- value: [0.0, 0.5, 0.3, 0.7, 1.0]
- - filter: mlp
- value: [1.0, 0.5, 0.7, 0.3, 0.0]
- - value: 0.7
-slices:
-- sources:
- - layer_range: [0, 46]
- model: Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B
- - layer_range: [0, 46]
- model: migtissera/Tess-v2.5-Gemma-2-27B-alpha
-```
+---
+library_name: transformers
+license: apache-2.0
+base_model:
+- Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B
+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
+
+<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>
+gemma-2-27b-it 베이스모델을 사용해서 H100-80G 8개를 통해 약 20%정도의 파라미터를 한국어 CPT(Continued-Pretraining)->SFT->DPO 한 <br>
+한글 언어 모델인 Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B을 추가적인 한글데이터들을 활용해서 다양한 테스크별 한국어-중국어-영어-일본어 교차 학습 데이터와 수학 및 <br>
+논리판단 데이터를 통하여 한중일영 언어 교차 증강 처리와 복잡한 논리 문제 역시 대응 가능하도록 훈련한 모델이다.<br> 
+-영어처리 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-27B, a Korean language model that uses the gemma-2-27b-it basemodel to train about 20% 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 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>