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

MN Hekate Limenoskopos 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 Limenoskopos 17B and how large is it?

MN Hekate Limenoskopos 17B is developed by mergekit-community, a model with 17b 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 Limenoskopos 17B?

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

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

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

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

Merged Model Arxiv:2403.19522 Base model:mistralai/mistral-n... Base model:mistralai/mistral-n... Base model:nbeerbower/mistral-... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

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

MN Hekate Limenoskopos 17B Parameters and Internals

LLM Name	MN Hekate Limenoskopos 17B
Repository 🤗	https://huggingface.co/mergekit-community/MN-Hekate-Limenoskopos-17B
Base Model(s)	Mistral Nemo Base 2407 Mistral Nemo Instruct 2407 Mistral Nemo Bophades 12B MN Hekate Damnomeneia 17B MN Hekate Episkopos 17B mistralai/Mistral-Nemo-Base-2407 mistralai/Mistral-Nemo-Instruct-2407 nbeerbower/mistral-nemo-bophades-12B mergekit-community/MN-Hekate-Damnomeneia-17B mergekit-community/MN-Hekate-Episkopos-17B
Merged Model	Yes
Model Size	17b
Required VRAM	33.2 GB
Updated	2026-07-28
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	4.51.1
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	131075
Torch Data Type	bfloat16

Rank the MN Hekate Limenoskopos 17B 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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MN Hekate Nyktipolos 17B	128K / 33.2 GB	7	0