What are the hardware requirements for MN LooseCannon 12B V1?

MN LooseCannon 12B V1 requires approximately 23.8 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 LooseCannon 12B V1 and how large is it?

MN LooseCannon 12B V1 is developed by GalrionSoftworks, 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 LooseCannon 12B V1?

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

MN LooseCannon 12B V1 by GalrionSoftworks — VRAM 23.8GB, 1000K context

Name: MN LooseCannon 12B V1
Author: GalrionSoftworks

MN LooseCannon 12B V1 is an open-source language model by GalrionSoftworks. Features: 12b LLM, VRAM: 23.8GB, Context: 1000K, Merged, LLM Explorer Score: 0.2.

Merged Model Aetherwiing/mn-12b-starcannon-... Base model:auriaetherwiing/mn-... Base model:sao10k/mn-12b-lyra-... Conversational Mistral Model-index Region:us Safetensors Sao10k/mn-12b-lyra-v1 Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/GalrionSoftworks/MN-LooseCannon-12B-v1

MN LooseCannon 12B V1 Parameters and Internals

LLM Name	MN LooseCannon 12B V1
Repository 🤗	https://huggingface.co/GalrionSoftworks/MN-LooseCannon-12B-v1
Base Model(s)	MN 12B Starcannon V3 MN 12B Lyra V1 aetherwiing/MN-12B-Starcannon-v3 Sao10K/MN-12B-Lyra-v1
Merged Model	Yes
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-08-08
Maintainer	GalrionSoftworks
Model Type	mistral
Model Files	1.3 GB: 1-of-25 1.3 GB: 2-of-25 1.0 GB: 3-of-25 0.9 GB: 4-of-25 0.9 GB: 5-of-25 0.9 GB: 6-of-25 1.0 GB: 7-of-25 0.9 GB: 8-of-25 0.9 GB: 9-of-25 0.9 GB: 10-of-25 1.0 GB: 11-of-25 0.9 GB: 12-of-25 0.9 GB: 13-of-25 0.9 GB: 14-of-25 1.0 GB: 15-of-25 0.9 GB: 16-of-25 0.9 GB: 17-of-25 0.9 GB: 18-of-25 1.0 GB: 19-of-25 0.9 GB: 20-of-25 0.9 GB: 21-of-25 0.9 GB: 22-of-25 1.0 GB: 23-of-25 0.9 GB: 24-of-25 0.8 GB: 25-of-25
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN LooseCannon 12B 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
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Note: green Score (e.g. "73.2") means that the model is better than GalrionSoftworks/MN-LooseCannon-12B-v1.