What are the hardware requirements for Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B?

Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B requires approximately 24.5 GB of VRAM and supports a context window of 1000K 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 Korean Mistral Nemo Sft DPO 12B?

Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B by Saxo — VRAM 24.5GB, 1000K context

Name: Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B
Author: Saxo

Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 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: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 Mistral Q4 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Mistral-Nemo-sft-dpo-12B

Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B Parameters and Internals

LLM Name	Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B
Repository 🤗	https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Mistral-Nemo-sft-dpo-12B
Base Model(s)	Mistral Nemo Instruct 2407 mistralai/Mistral-Nemo-Instruct-2407
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-28
Maintainer	Saxo
Model Type	mistral
Instruction-Based	Yes
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 Languages	ko en jp cn
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	ggml\|q4\|gguf\|q4_k\|q5_k
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.43.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B

Best Alternatives	Context / RAM	Downloads	Likes
...Horizon AI Korean Advanced 12B	1000K / 24.5 GB	127	1
Geneva 12B GCv2 5M	1000K / 24.5 GB	29	13
ReWiz Nemo 12B Instruct	1000K / 24.5 GB	6	2
...o Instruct 12B Philosophy Math	1000K / 24.5 GB	17	1
...omix Unleashed 12B V0.6.1 8bit	1000K / 12.9 GB	4	2
Ava 1.0 12B	1000K / 24.5 GB	34	4
Poemma 12B	1000K / 24.5 GB	16	2
...t RP Noodles 12B V1.4 EXL2 8.0	1000K / 12.5 GB	34	2
Lumimaid Magnum 12B EXL2 8.0	1000K / 12.6 GB	27	4
DeepOpus 1 12B Preview	128K / 24.5 GB	18	0

Note: green Score (e.g. "73.2") means that the model is better than Saxo/Linkbricks-Horizon-AI-Korean-Mistral-Nemo-sft-dpo-12B.