What are the hardware requirements for Moondark 12B?

Moondark 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.

Who developed Moondark 12B and how large is it?

Moondark 12B is developed by Vortex5, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Moondark 12B?

Moondark 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Moondark 12B by Vortex5 — VRAM 24.5GB, 1000K context

Name: Moondark 12B
Author: Vortex5

Moondark 12B is an open-source language model by Vortex5. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Instruction-Based, Merged, LLM Explorer Score: 0.19.

Merged Model Arxiv:2403.19522 Base model:delta-vector/ohashi... Base model:flammenai/mahou-1.5... Base model:humanllms/human-lik... Base model:natong19/mistral-ne... Conversational Endpoints compatible Instruct Mistral Region:us Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Vortex5/Moondark-12B

Moondark 12B Parameters and Internals

LLM Name	Moondark 12B
Repository 🤗	https://huggingface.co/Vortex5/Moondark-12B
Base Model(s)	flammenai/Mahou-1.5-mistral-nemo-12B Ohashi NeMo 12B ...ike Mistral Nemo Instruct 2407 ...Nemo Instruct 2407 Abliterated flammenai/Mahou-1.5-mistral-nemo-12B Delta-Vector/Ohashi-NeMo-12B HumanLLMs/Human-Like-Mistral-Nemo-Instruct-2407 natong19/Mistral-Nemo-Instruct-2407-abliterated
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-23
Maintainer	Vortex5
Model Type	mistral
Instruction-Based	Yes
Model Files	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
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.55.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Moondark 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 Moondark 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
...g M Claude Opus High Reasoning	1000K / 24.5 GB	80	3
MN Slush	1000K / 24.5 GB	181	32
ChatWaifu V1.4	1000K / 24.5 GB	335	20
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9

Note: green Score (e.g. "73.2") means that the model is better than Vortex5/Moondark-12B.