What are the hardware requirements for MN 12B Starcannon V3?

MN 12B Starcannon V3 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 Starcannon V3 and how large is it?

MN 12B Starcannon V3 is developed by nothingiisreal, 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 Starcannon V3?

MN 12B Starcannon V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN 12B Starcannon V3 by nothingiisreal — VRAM 24.5GB, 1000K context

Name: MN 12B Starcannon V3
Author: nothingiisreal

MN 12B Starcannon V3 is an open-source language model by nothingiisreal. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.2.

Merged Model Arxiv:2306.01708 Base model:anthracite-org/magn... Base model:nothingiisreal/mn-1... Conversational Deploy:azure Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nothingiisreal/MN-12B-Starcannon-v3

MN 12B Starcannon V3 Parameters and Internals

Model Type

pre-trained language model, merge

Training Details

Data Sources:

anthracite-org/magnum-12b-v2, nothingiisreal/MN-12B-Celeste-V1.9

Methodology:

TIES

LLM Name	MN 12B Starcannon V3
Repository 🤗	https://huggingface.co/nothingiisreal/MN-12B-Starcannon-v3
Base Model(s)	Magnum 12B V2 nothingiisreal/MN-12B-Celeste-V1.9 anthracite-org/magnum-12b-v2 nothingiisreal/MN-12B-Celeste-V1.9
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-04
Maintainer	nothingiisreal
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	4.43.4
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN 12B Starcannon V3 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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Note: green Score (e.g. "73.2") means that the model is better than nothingiisreal/MN-12B-Starcannon-v3.