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Linkbricks Horizon AI Korean Advanced 27B by Saxo

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Linkbricks Horizon AI Korean Advanced 27B is an open-source language model by Saxo. Features: 27b LLM, VRAM: 54.7GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16.

Base model:google/gemma-2-27b-... Base model:quantized:google/ge...   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   Gemma2   Gguf   Jp   Ko   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B 

Linkbricks Horizon AI Korean Advanced 27B Benchmarks

LLME Score: 0.15596
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 27B (Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B)
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Linkbricks Horizon AI Korean Advanced 27B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Language translation, Mathematics, Logic judgment, Social media analysis, AI enhanced writing
Primary Use Cases:
Cross-language Processing, Complex problem-solving, High-dimensional analysis
Considerations:
Tokenizer does not expand vocabulary of the base model
Additional Notes 
Tokenization remains the same as the base model without word expansion.
Supported Languages 
ko (Korean), en (English), jp (Japanese), cn (Chinese)
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 news corpus
Methodology:
Continued-Pretraining (CPT), Supervised Fine-Tuning (SFT), Decision Point Optimization (DPO)
Context Length:
128000
Hardware Used:
8x H100-80G GPUs
Model Architecture:
gemma-2-27b-it based architecture with specialized cross-language training techniques
LLM NameLinkbricks Horizon AI Korean Advanced 27B
Repository 🤗https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-27B 
Base Model(s)  Gemma 2 27B It   google/gemma-2-27b-it
Model Size27b
Required VRAM54.7 GB
Updated2026-04-18
MaintainerSaxo
Model Typegemma2
Model Files  16.6 GB   19.4 GB   22.3 GB   28.9 GB   4.7 GB: 1-of-12   4.9 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   4.9 GB: 6-of-12   5.0 GB: 7-of-12   4.9 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   0.7 GB: 12-of-12
Supported Languagesko en jp cn
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.43.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
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-27B.

Rank the Linkbricks Horizon AI Korean Advanced 27B 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  
Multi-Language Support and Translation  

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