What are the hardware requirements for Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B?

Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B?

Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B by Saxo — VRAM 16.1GB, 128K context

Name: Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B
Author: Saxo

Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B is an open-source language model by Saxo. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.14.

Model Card on HF 🤗: https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Nous-Hermes-3-Llama3.1-Korean-cpt-8b

Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B Parameters and Internals

Model Type

text-generation

Additional Notes

The model uses about 50% of total parameters re-tuned.

Supported Languages

ko (High), en (Basic), jp (Basic), cn (Basic)

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:

50 million Korean news and various Korean corpus datasets

Methodology:

Continue Pre Training (CPT) on NousResearch/Hermes-3-Llama-3.1-8B base model. Used Deepspeed Stage=3, rslora, and BAdam Layer Mode. Tokenizer from the base model without expansion.

Context Length:

128000

Hardware Used:

8 H100-80G GPUs

LLM Name	Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B
Repository 🤗	https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Nous-Hermes-3-Llama3.1-Korean-cpt-8b
Base Model(s)	NousResearch/Hermes-3-Llama-3.1-8B NousResearch/Hermes-3-Llama-3.1-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-07
Maintainer	Saxo
Model Type	llama
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 Languages	ko en jp cn
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Linkbricks Horizon AI Nous Hermes 3 Llama3.1 Korean Cpt 8B 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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