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Linkbricks Horizon AI Korean Llama3.1 Sft DPO 70B by Saxo

 »  All LLMs  »  Saxo  »  Linkbricks Horizon AI Korean Llama3.1 Sft DPO 70B   URL Share it on

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Linkbricks Horizon AI Korean Llama3.1 Sft DPO 70B is an open-source language model by Saxo. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

Base model:nousresearch/meta-l... Base model:quantized:nousresea...   Cn   Conversational Dataset:maywell/ko ultrafeedba... Dataset:saxo/en ko translation... Dataset:saxo/en ko translation... 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 ...   En   Endpoints compatible   Ggml   Gguf   Instruct   Jp   Ko   Llama   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-dpo-70B 

Linkbricks Horizon AI Korean Llama3.1 Sft DPO 70B Benchmarks

LLME Score: 0.15009
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 Llama3.1 Sft DPO 70B (Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-dpo-70B)
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Linkbricks Horizon AI Korean Llama3.1 Sft DPO 70B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Tokenizer uses base model without word expansion. Model enhanced for customer reviews, social postings analysis, coding tasks, supports 128k-Context Window, Tool Calling, knows Korean national anthem lyrics accurately.
Supported Languages 
ko (full), en (full), jp (full), cn (full)
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, maywell/ko_Ultrafeedback_binarized
Methodology:
fine-tuned with SFT->DPO
Context Length:
128000
Hardware Used:
KT-CLOUD H100-80G x4
LLM NameLinkbricks Horizon AI Korean Llama3.1 Sft DPO 70B
Repository 🤗https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-dpo-70B 
Base Model(s)  NousResearch/Meta-Llama-3.1-70B-Instruct   NousResearch/Meta-Llama-3.1-70B-Instruct
Model Size70b
Required VRAM141.9 GB
Updated2026-04-03
MaintainerSaxo
Model Typellama
Instruction-BasedYes
Model Files  42.5 GB   49.9 GB   4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesko en jp cn
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q4|gguf|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
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-llama3.1-sft-dpo-70B.

Rank the Linkbricks Horizon AI Korean Llama3.1 Sft DPO 70B 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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