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library_name: transformers |
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license: apache-2.0 |
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base_model: google/gemma-2-27b-it |
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datasets: |
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- Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset |
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- Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset |
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- Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/ko_aspect_sentiment_sns_mall_sentiment_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/ko_summarization_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/OpenOrca_cleaned_kor_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/ko_government_qa_total_linkbricks_single_dataset_with_prompt_text_huggingface_sampled |
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- maywell/ko_Ultrafeedback_binarized |
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language: |
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- ko |
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- en |
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- jp |
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- cn |
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pipeline_tag: text-generation |
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--- |
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# Model Card for Model ID |
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<div align="center"> |
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<img src="http://www.linkbricks.com/wp-content/uploads/2024/11/fulllogo.png" /> |
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</div> |
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<br> |
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<a href="https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard">Open Ko LLM Leaderboard Season 2</a> ๐ Rank-1 2024/11/01~2024/12/28 |
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AI ์ ๋น
๋ฐ์ดํฐ ๋ถ์ ์ ๋ฌธ ๊ธฐ์
์ธ Linkbricks Horizon-AI์ ๋ฐ์ดํฐ์ฌ์ด์ธํฐ์คํธ์ธ ์ง์ค์ฑ(Saxo) ๋ํ๊ฐ gemma-2-27b-it ๋ฒ ์ด์ค๋ชจ๋ธ์ H100-80G 8๊ฐ๋ฅผ ํตํด SFT->DPO ํ์ธ ํ๋์ ํ |
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ํ๊ธ ์ธ์ด ๋ชจ๋ธ๋ก ํ๊ตญ์ด-์ค๊ตญ์ด-์์ด-์ผ๋ณธ์ด ๊ต์ฐจ ํ์ต ๋ฐ์ดํฐ์ ๋ก์ง์ปฌ ๋ฐ์ดํฐ๋ฅผ ํตํ์ฌ ํ์ค์ผ์ ์ธ์ด ๊ต์ฐจ ์ฆ๊ฐ ์ฒ๋ฆฌ์ ๋ณต์กํ ํ๊ธ ๋
ผ๋ฆฌ ๋ฌธ์ ์ญ์ ๋์ ๊ฐ๋ฅํ๋๋ก ํ๋ จํ ๋ชจ๋ธ์ด๋ฉฐ ํ ํฌ๋์ด์ ๋ ๋จ์ด ํ์ฅ ์์ด ๋ฒ ์ด์ค ๋ชจ๋ธ ๊ทธ๋๋ก ์ฌ์ฉ. |
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ํนํ ๊ณ ๊ฐ ๋ฆฌ๋ทฐ๋ ์์
ํฌ์คํ
๊ณ ์ฐจ์ ๋ถ์ ๋ฐ ์ฝ๋ฉ๋ฑ์ด ๊ฐํ๋ ๋ชจ๋ธ<br> |
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-Deepspeed Stage=3, rslora ๋ฐ BAdam Layer Mode ์ฌ์ฉ<br> |
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-ollama run benedict/linkbricks-gemma2-korean:27b |
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Benchmark (Open Ko LLM Leader Board Season 2 : No. 1)<br> |
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Model : Saxo/Linkbricks-Horizon-AI-Korean-Gemma-2-sft-dpo-27B<br> |
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Average : 51.37<br> |
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Ko-GPQA : 25.25<br> |
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Ko-Winogrande : 68.27<br> |
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Ko-GSM8k : 70.96<br> |
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Ko-EQ Bench : 50.25<br> |
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Ko-IFEval : 49.84<br> |
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KorNAT-CKA : 34.59<br> |
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KorNAT-SVA : 48.42<br> |
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Ko-Harmlessness : 65.66<br> |
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Ko-Helpfulness : 49.12<br> |
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<div align="center"> |
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<img src="http://www.linkbricks.com/wp-content/uploads/2024/12/แแ
ณแแ
ณแ
แ
ตแซแแ
ฃแบ-2024-12-16-แแ
ฉแแ
ฅแซ-10.43.06.png" /> |
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</div> |
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<br> |
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<br><br> |
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CEO Yunsung Ji (Saxo), a data scientist at Linkbricks Horizon-AI, a company specializing in AI and big data analytics, fine-tuned the gemma-2-27b-it base model with SFT->DPO using four H100-80Gs. |
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It is a Korean language model trained to handle complex Korean logic problems through Korean-Chinese-English-Japanese cross-training data and logical data, and Tokenizer uses the base model without word expansion. |
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<a href="www.horizonai.ai">www.horizonai.ai</a>, <a href="www.linkbricks.com">www.linkbricks.com</a>, <a href="www.linkbricks.vc">www.linkbricks.vc</a> |
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