What are the hardware requirements for MN 12B Mag Mell R1 SODOM V1?

MN 12B Mag Mell R1 SODOM V1 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 MN 12B Mag Mell R1 SODOM V1 and how large is it?

MN 12B Mag Mell R1 SODOM V1 is developed by SubMaroon, 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 12B Mag Mell R1 SODOM V1?

MN 12B Mag Mell R1 SODOM V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN 12B Mag Mell R1 SODOM V1 by SubMaroon — VRAM 24.5GB, 1000K context

Name: MN 12B Mag Mell R1 SODOM V1
Author: SubMaroon

MN 12B Mag Mell R1 SODOM V1 is an open-source language model by SubMaroon. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, LLM Explorer Score: 0.16.

Autotrain compatible Base model:finetune:inflatebot... Base model:inflatebot/mn-12b-m... Conversational Endpoints compatible Mistral Not-for-all-audiences Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SubMaroon/MN-12B-Mag-Mell-R1-SODOM-v1

MN 12B Mag Mell R1 SODOM V1 Parameters and Internals

LLM Name	MN 12B Mag Mell R1 SODOM V1
Repository 🤗	https://huggingface.co/SubMaroon/MN-12B-Mag-Mell-R1-SODOM-v1
Base Model(s)	MN 12B Mag Mell R1 inflatebot/MN-12B-Mag-Mell-R1
Model Size	12b
Required VRAM	24.5 GB
Updated	2025-10-01
Maintainer	SubMaroon
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	1024000
Model Max Length	1024000
Transformers Version	4.46.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN 12B Mag Mell R1 SODOM V1 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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...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
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Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
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Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
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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 SubMaroon/MN-12B-Mag-Mell-R1-SODOM-v1.