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Linkbricks Horizon AI Korean Advanced 8B COT Boost by Saxo

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  Autotrain compatible Base model:finetune:saxo/linkb... Base model:saxo/linkbricks-hor...   Cn   Conversational   Dataset:kuotient/gsm8k-ko Dataset:lilacai/glaive-functio... Dataset:maywell/ko ultrafeedba... Dataset:saxo/en ko translation... Dataset:saxo/en ko translation...   Dataset:saxo/ko-news-corpus-1   Dataset:saxo/ko-news-corpus-2   Dataset:saxo/ko-news-corpus-3   Dataset:saxo/ko-news-corpus-4   Dataset:saxo/ko-news-corpus-5   Dataset:saxo/ko-news-corpus-6   Dataset:saxo/ko-news-corpus-7   Dataset:saxo/ko-news-corpus-8   Dataset:saxo/ko-news-corpus-9 Dataset:saxo/ko aspect sentime... Dataset:saxo/ko cn translation... Dataset:saxo/ko government qa ... Dataset:saxo/ko jp translation... Dataset:saxo/ko summarization ... Dataset:saxo/openorca cleaned ... Dataset:youjunhyeok/ko-orca-pa...   En   Endpoints compatible   Jp   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B-COT-boost 

Linkbricks Horizon AI Korean Advanced 8B COT Boost Benchmarks

LLME Score: 0.19953
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Linkbricks Horizon AI Korean Advanced 8B COT Boost (Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B-COT-boost)

Linkbricks Horizon AI Korean Advanced 8B COT Boost Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
AI, Big Data
Additional Notes 
- 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 - Support for Korean Functioncall and Tool Calling - Deepspeed Stage=3, use rslora and BAdam Layer Mode
Supported Languages 
ko (fluent), en (fluent), jp (fluent), cn (fluent)
Training Details 
Data Sources:
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
Data Volume:
10M korean datasets
Methodology:
SFT->DPO
Context Length:
128000
Hardware Used:
8 H100-80G GPUs
Input Output 
Accepted Modalities:
text
LLM NameLinkbricks Horizon AI Korean Advanced 8B COT Boost
Repository 🤗https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B-COT-boost 
Base Model(s)  Saxo/Linkbricks-Horizon-AI-Nous-Hermes-3-Llama3.1-Korean-cpt-8b   Saxo/Linkbricks-Horizon-AI-Nous-Hermes-3-Llama3.1-Korean-cpt-8b
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
MaintainerSaxo
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesko en jp cn
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B-COT-boost.

Rank the Linkbricks Horizon AI Korean Advanced 8B COT Boost Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
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