What are the hardware requirements for MK Nemo 12B?

MK Nemo 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 MK Nemo 12B and how large is it?

MK Nemo 12B is developed by spow12, 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 MK Nemo 12B?

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

MK Nemo 12B by spow12 — VRAM 24.5GB, 1000K context

Name: MK Nemo 12B
Author: spow12

MK Nemo 12B is an open-source language model by spow12. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.15.

Base model:anthracite-org/magn... Base model:merge:anthracite-or... Base model:merge:mistralai/mis... Base model:merge:werty1248/mis... Base model:mistralai/mistral-n... Base model:werty1248/mistral-n... Conversational Deploy:azure En Endpoints compatible Instruct Ko Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/spow12/MK_Nemo_12B

MK Nemo 12B Parameters and Internals

LLM Name	MK Nemo 12B
Repository 🤗	https://huggingface.co/spow12/MK_Nemo_12B
Base Model(s)	Magnum V4 12B Mistral Nemo Instruct 2407 Mistral Nemo NT Ko 12B DPO anthracite-org/magnum-v4-12b mistralai/Mistral-Nemo-Instruct-2407 werty1248/Mistral-Nemo-NT-Ko-12B-dpo
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-06
Maintainer	spow12
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
Supported Languages	ko en
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MK Nemo 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 MK Nemo 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
MN Slush	1000K / 24.5 GB	181	32
ChatWaifu V1.4	1000K / 24.5 GB	335	20
...g M Claude Opus High Reasoning	1000K / 24.5 GB	126	3
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 spow12/MK_Nemo_12B.