Create README.md

README.md

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+---
+language:
+- en
+- ko
+license: apache-2.0
+library_name: transformers
+tags:
+- llama-cpp
+- gguf-my-repo
+base_model:
+- meta-llama/Meta-Llama-3-70B
+- jeiku/Average_Test_v1
+- Bllossom/llama-3-Korean-Bllossom-70B
+---
+
+
+<a href="https://github.com/MLP-Lab/Bllossom">
+  <img src="https://github.com/teddysum/bllossom/blob/main//bllossom_icon.png?raw=true" width="40%" height="50%">
+</a>
+
+# Bllossom | [Demo]() | [Homepage](https://www.bllossom.ai/) | [Github](https://github.com/MLP-Lab/Bllossom) | [Colab-tutorial](https://colab.research.google.com/drive/1fBOzUVZ6NRKk_ugeoTbAOokWKqSN47IG?usp=sharing) |
+
+
+```bash
+저희 Bllossom팀 에서 한국어-영어 이중 언어모델인 Bllossom을 공개했습니다!
+서울과기대 슈퍼컴퓨팅 센터의 지원으로 100GB가넘는 한국어로 모델전체를 풀튜닝한 한국어 강화 이중언어 모델입니다!
+한국어 잘하는 모델 찾고 있지 않으셨나요?
+ - 한국어 최초! 무려 3만개가 넘는 한국어 어휘확장
+ - Llama3대비 대략 25% 더 긴 길이의 한국어 Context 처리가능
+ - 한국어-영어 Pararell Corpus를 활용한 한국어-영어 지식연결 (사전학습)
+ - 한국어 문화, 언어를 고려해 언어학자가 제작한 데이터를 활용한 미세조정
+ - 강화학습
+이 모든게 한꺼번에 적용되고 상업적 이용이 가능한 Bllossom을 이용해 여러분 만의 모델을 만들어보세욥!
+본 모델은 42GB GPU에서 구동 가능한 양자화 모델입니다!
+
+1. Bllossom-8B는 서울과기대, 테디썸, 연세대 언어자원 연구실의 언어학자와 협업해 만든 실용주의기반 언어모델입니다! 앞으로 지속적인 업데이트를 통해 관리하겠습니다 많이 활용해주세요 🙂
+2. 초 강력한 Advanced-Bllossom 8B, 70B모델, 시각-언어모델을 보유하고 있습니다! (궁금하신분은 개별 연락주세요!!)
+3. Bllossom은 NAACL2024, LREC-COLING2024 (구두) 발표로 채택되었습니다.
+4. 좋은 언어모델 계속 업데이트 하겠습니다!! 한국어 강화를위해 공동 연구하실분(특히논문) 언제든 환영합니다!! 
+   특히 소량의 GPU라도 대여 가능한팀은 언제든 연락주세요! 만들고 싶은거 도와드려요.
+```
+
+The Bllossom language model is a Korean-English bilingual language model based on the open-source LLama3. It enhances the connection of knowledge between Korean and English. It has the following features:
+
+* **Knowledge Linking**: Linking Korean and English knowledge through additional training
+* **Vocabulary Expansion**: Expansion of Korean vocabulary to enhance Korean expressiveness.
+* **Instruction Tuning**: Tuning using custom-made instruction following data specialized for Korean language and Korean culture
+* **Human Feedback**: DPO has been applied
+* **Vision-Language Alignment**: Aligning the vision transformer with this language model 
+
+**This model developed by [MLPLab at Seoultech](http://mlp.seoultech.ac.kr), [Teddysum](http://teddysum.ai/) and [Yonsei Univ](https://sites.google.com/view/hansaemkim/hansaem-kim).** 
+**This model was converted to GGUF format from [`MLP-KTLim/llama-3-Korean-Bllossom-70B`](https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-70B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-70B) for more details on the model.**
+
+
+## Demo Video
+
+<div style="display: flex; justify-content: space-between;">
+  <!-- 첫 번째 컬럼 -->
+  <div style="width: 49%;">
+    <a>
+      <img src="https://github.com/lhsstn/lhsstn/blob/main/x-llava_dem.gif?raw=true" style="width: 100%; height: auto;">
+    </a>
+    <p style="text-align: center;">Bllossom-V Demo</p>
+  </div>
+
+  <!-- 두 번째 컬럼 (필요하다면) -->
+  <div style="width: 49%;">
+    <a>
+      <img src="https://github.com/lhsstn/lhsstn/blob/main/bllossom_demo_kakao.gif?raw=true" style="width: 70%; height: auto;">
+    </a>
+    <p style="text-align: center;">Bllossom Demo(Kakao)ㅤㅤㅤㅤㅤㅤㅤㅤ</p>
+  </div>
+</div>
+
+
+
+## NEWS
+* [2024.05.08] Vocab Expansion Model Update
+* [2024.04.25] We released Bllossom v2.0, based on llama-3
+* [2023/12] We released Bllossom-Vision v1.0, based on Bllossom
+* [2023/08] We released Bllossom v1.0, based on llama-2. 
+* [2023/07] We released Bllossom v0.7, based on polyglot-ko.
+
+
+## Example code
+
+
+## Use with llama.cpp
+
+Install llama.cpp through brew.
+
+```bash
+brew install ggerganov/ggerganov/llama.cpp
+```
+Invoke the llama.cpp server or the CLI.
+
+CLI:
+
+```bash
+llama-cli --hf-repo Bllossom/llama-3-Korean-Bllossom-70B-gguf-Q4_K_M --model bllossom_llama3_70b.Q4_K_M.gguf -p "서울과학기술대학교 임경태 교수는 어떤연구를하니?"
+```
+
+Server:
+
+```bash
+llama-server --hf-repo Bllossom/llama-3-Korean-Bllossom-70B-gguf-Q4_K_M --model bllossom_llama3_70b.Q4_K_M.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+
+```
+git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m bllossom_llama3_70b.Q4_K_M.gguf -n 128
+```
+
+
+
+
+## Citation
+**Language Model**
+```text
+@misc{bllossom,
+  author = {ChangSu Choi, Yongbin Jeong, Seoyoon Park, InHo Won, HyeonSeok Lim, SangMin Kim, Yejee Kang, Chanhyuk Yoon, Jaewan Park, Yiseul Lee, HyeJin Lee, Younggyun Hahm, Hansaem Kim, KyungTae Lim},
+  title = {Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean},
+  year = {2024},
+  journal = {LREC-COLING 2024},
+  paperLink = {\url{https://arxiv.org/pdf/2403.10882}},
+ },
+}
+```
+
+**Vision-Language Model**
+```text
+@misc{bllossom-V,
+  author = {Dongjae Shin, Hyunseok Lim, Inho Won, Changsu Choi, Minjun Kim, Seungwoo Song, Hangyeol Yoo, Sangmin Kim, Kyungtae Lim},
+  title = {X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment},
+  year = {2024},
+  publisher = {GitHub},
+  journal = {NAACL 2024 findings},
+  paperLink = {\url{https://arxiv.org/pdf/2403.11399}},
+ },
+}
+```
+
+## Contact
+ - 임경태(KyungTae Lim), Professor at Seoultech. `ktlim@seoultech.ac.kr`
+ - 함영균(Younggyun Hahm), CEO of Teddysum. `hahmyg@teddysum.ai`
+ - 김한샘(Hansaem Kim), Professor at Yonsei. `khss@yonsei.ac.kr`
+
+## Contributor
+ - 최창수(Chansu Choi), choics2623@seoultech.ac.kr
+ - 김상민(Sangmin Kim), sangmin9708@naver.com
+ - 원인호(Inho Won), wih1226@seoultech.ac.kr
+ - 김민준(Minjun Kim), mjkmain@seoultech.ac.kr 
+ - 송승우(Seungwoo Song), sswoo@seoultech.ac.kr
+ - 신동재(Dongjae Shin), dylan1998@seoultech.ac.kr
+ - 임현석(Hyeonseok Lim), gustjrantk@seoultech.ac.kr
+ - 육정훈(Jeonghun Yuk), usually670@gmail.com
+ - 유한결(Hangyeol Yoo), 21102372@seoultech.ac.kr
+ - 송서현(Seohyun Song), alexalex225225@gmail.com