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Linkbricks Horizon AI Korean Advanced 12B by Saxo

By Saxo · 127 downloads
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Linkbricks Horizon AI Korean Advanced 12B is an open-source language model by Saxo. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Base model:mistralai/mistral-n... Base model:quantized:mistralai...   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   Gguf   Instruct   Jp   Ko   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B 

Linkbricks Horizon AI Korean Advanced 12B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
AI analytics, Big data analytics
Applications:
High-dimensional analysis of customer reviews and social posts, Coding, Writing, Math, Decision making
Additional Notes 
Enhanced for high-dimensional analysis and logic tasks. Supports Korean Function Call and Tool Calling.
Supported Languages 
ko (proficient), en (proficient), jp (proficient), cn (proficient)
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:
10 million Korean news corpus
Methodology:
CPT(Continue-Pretraining)->SFT->DPO
Context Length:
128000
Hardware Used:
8 H100-80G GPUs
Model Architecture:
Uses Mistral-Nemo-Instruct-2407 as a base model; the tokenizer of the base model used without word expansion
Input Output 
Accepted Modalities:
text
LLM NameLinkbricks Horizon AI Korean Advanced 12B
Repository 🤗https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2026-08-05
MaintainerSaxo
Model Typemistral
Instruction-BasedYes
Model Files  24.5 GB   7.5 GB   8.7 GB   10.1 GB   13.0 GB   4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesko en jp cn
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token</s>
Vocabulary Size131072
Torch Data Typebfloat16

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