What are the hardware requirements for MN Hekate Noctiluca 12B V2?

MN Hekate Noctiluca 12B V2 requires approximately 24.5 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.

Who developed MN Hekate Noctiluca 12B V2 and how large is it?

MN Hekate Noctiluca 12B V2 is developed by mergekit-community, 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 MN Hekate Noctiluca 12B V2?

MN Hekate Noctiluca 12B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN Hekate Noctiluca 12B V2 by mergekit-community — VRAM 24.5GB, 128K context

Name: MN Hekate Noctiluca 12B V2
Author: mergekit-community

MN Hekate Noctiluca 12B V2 is an open-source language model by mergekit-community. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2403.19522 Base model:latitudegames/wayfa... Base model:nbeerbower/mistral-... Base model:nbeerbower/mistral-... Base model:pocketdoc/dans-saku... Base model:yamatazen/bluelight... Base model:yamatazen/loyalmaid... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/MN-Hekate-Noctiluca-12B-v2

MN Hekate Noctiluca 12B V2 Parameters and Internals

LLM Name	MN Hekate Noctiluca 12B V2
Repository 🤗	https://huggingface.co/mergekit-community/MN-Hekate-Noctiluca-12B-v2
Base Model(s)	MN Hekate Pyrtania 12B Wayfarer 12B BlueLight 12B LoyalMaid 12B PocketDoc/Dans-SakuraKaze-V1.0.0-12b MN Hekate Limenoskopos 17B Mistral Nemo Gutenberg 12B V4 Mistral Nemo Bophades 12B MN Hekate Episkopos 17B mergekit-community/MN-Hekate-Pyrtania-12B LatitudeGames/Wayfarer-12B yamatazen/BlueLight-12B yamatazen/LoyalMaid-12B PocketDoc/Dans-SakuraKaze-V1.0.0-12b mergekit-community/MN-Hekate-Limenoskopos-17B nbeerbower/mistral-nemo-gutenberg-12B-v4 nbeerbower/mistral-nemo-bophades-12B mergekit-community/MN-Hekate-Episkopos-17B
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-08
Maintainer	mergekit-community
Model Type	mistral
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	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	131075
Torch Data Type	bfloat16

Rank the MN Hekate Noctiluca 12B V2 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 MN Hekate Noctiluca 12B V2

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/MN-Hekate-Noctiluca-12B-v2.