What are the hardware requirements for MN 12B RP Ink?

MN 12B RP Ink requires approximately 24.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MN 12B RP Ink and how large is it?

MN 12B RP Ink is developed by allura-org, 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 RP Ink?

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

MN 12B RP Ink by allura-org — VRAM 24.5GB

Name: MN 12B RP Ink
Author: allura-org

MN 12B RP Ink is an open-source language model by allura-org. Features: 12b LLM, VRAM: 24.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Conversational En Instruct Mistral Region:us Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allura-org/MN-12b-RP-Ink

MN 12B RP Ink Parameters and Internals

LLM Name	MN 12B RP Ink
Repository 🤗	https://huggingface.co/allura-org/MN-12b-RP-Ink
Base Model(s)	Mistral Nemo Instruct 2407 mistralai/Mistral-Nemo-Instruct-2407
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-05
Maintainer	allura-org
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	en
Model Architecture	MambaSSM
License	apache-2.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072

Rank the MN 12B RP Ink 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