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

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

MN 12B Mag Mell R1 is developed by inflatebot, 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?

MN 12B Mag Mell R1 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 by inflatebot — VRAM 24.5GB, 1000K context

Name: MN 12B Mag Mell R1
Author: inflatebot

MN 12B Mag Mell R1 is an open-source language model by inflatebot. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, LLM Explorer Score: 0.28.

Arxiv:2306.01708 Arxiv:2311.03099 Base model:anthracite-org/magn... Base model:elinas/chronos-gold... Base model:fizzarolli/mn-12b-s... Base model:intervitensinc/mist... Base model:merge:anthracite-or... Base model:merge:elinas/chrono... Base model:merge:fizzarolli/mn... Base model:merge:intervitensin... Base model:merge:nbeerbower/mi... Base model:merge:nbeerbower/mi... Base model:merge:nbeerbower/mi... Base model:nbeerbower/mistral-... Base model:nbeerbower/mistral-... Base model:nbeerbower/mistral-... Conversational Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

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

MN 12B Mag Mell R1 Parameters and Internals

Model Type

language generation, text generation

Additional Notes

Intended as a 'Best of Nemo' model for any fictional, creative use case, inspired by hyper-merges like Tiefighter.

Training Details

Methodology:

DARE-TIES merge method

LLM Name	MN 12B Mag Mell R1
Repository 🤗	https://huggingface.co/inflatebot/MN-12B-Mag-Mell-R1
Base Model(s)	Mistral Nemo Base 2407 Chatml Mistral Nemo Bophades 12B Mistral Nemo Wissenschaft 12B elinas/Chronos-Gold-12B-1.0 MN 12B Sunrose Mistral Nemo Gutenberg 12B V4 anthracite-org/magnum-12b-v2.5-kto IntervitensInc/Mistral-Nemo-Base-2407-chatml nbeerbower/mistral-nemo-bophades-12B nbeerbower/mistral-nemo-wissenschaft-12B elinas/Chronos-Gold-12B-1.0 Fizzarolli/MN-12b-Sunrose nbeerbower/mistral-nemo-gutenberg-12B-v4 anthracite-org/magnum-12b-v2.5-kto
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-05-23
Maintainer	inflatebot
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	4.44.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN 12B Mag Mell R1 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 12B Mag Mell R1

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
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
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3
Mistral Nemo Kartoffel 12B	1000K / 24.5 GB	47	6

Note: green Score (e.g. "73.2") means that the model is better than inflatebot/MN-12B-Mag-Mell-R1.