What are the hardware requirements for MN Hekate Damnomeneia 17B?

MN Hekate Damnomeneia 17B requires approximately 33.2 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 Damnomeneia 17B and how large is it?

MN Hekate Damnomeneia 17B 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 Damnomeneia 17B?

MN Hekate Damnomeneia 17B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN Hekate Damnomeneia 17B by mergekit-community — VRAM 33.2GB, 128K context

Name: MN Hekate Damnomeneia 17B
Author: mergekit-community

MN Hekate Damnomeneia 17B is an open-source language model by mergekit-community. Features: 12b LLM, VRAM: 33.2GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Base model:humanllms/human-lik... Base model:khetterman/abominat... Base model:mistralai/mistral-n... Base model:nbeerbower/mistral-... Base model:nbeerbower/mistral-... Base model:nitral-ai/captain-e... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/MN-Hekate-Damnomeneia-17B

MN Hekate Damnomeneia 17B Parameters and Internals

LLM Name	MN Hekate Damnomeneia 17B
Repository 🤗	https://huggingface.co/mergekit-community/MN-Hekate-Damnomeneia-17B
Base Model(s)	AbominationScience 12B V4 Nitral-AI/Captain-Eris_Violet-GRPO-v0.420 Mistral Nemo Wissenschaft 12B Mistral Nemo Bophades 12B MN Hekate Nyktipolos 17B ...ike Mistral Nemo Instruct 2407 Mistral Nemo Base 2407 Khetterman/AbominationScience-12B-v4 Nitral-AI/Captain-Eris_Violet-GRPO-v0.420 nbeerbower/mistral-nemo-wissenschaft-12B nbeerbower/mistral-nemo-bophades-12B mergekit-community/MN-Hekate-Nyktipolos-17B HumanLLMs/Human-Like-Mistral-Nemo-Instruct-2407 mistralai/Mistral-Nemo-Base-2407
Merged Model	Yes
Model Size	12b
Required VRAM	33.2 GB
Updated	2026-07-20
Maintainer	mergekit-community
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-7 4.9 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 4.9 GB: 5-of-7 4.9 GB: 6-of-7 3.8 GB: 7-of-7
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	131075
Torch Data Type	bfloat16

Rank the MN Hekate Damnomeneia 17B 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 Damnomeneia 17B

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
MN Slush	1000K / 24.5 GB	181	32
...g M Claude Opus High Reasoning	1000K / 24.5 GB	82	3
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 mergekit-community/MN-Hekate-Damnomeneia-17B.