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

MN Raven 12B V1 requires approximately 24.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MN Raven 12B V1 and how large is it?

MN Raven 12B V1 is developed by DarkArtsForge, 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 Raven 12B V1?

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

MN Raven 12B V1 by DarkArtsForge — VRAM 24.5GB, 128K context

Name: MN Raven 12B V1
Author: DarkArtsForge

MN Raven 12B V1 is an open-source language model by DarkArtsForge. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.24.

Merged Model 12b Arcee fusion Axolotl Base model:naphula-archives/mn... Base model:naphula-archives/mn... Conversational Creative writing Dataset:darkartsforge/poe v1 Endpoints compatible Finetuned Gothic Instruct Lora Mistral Mistral-nemo Poe Raven Region:us Roleplay Sharded Tensorflow Uncensored

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

MN Raven 12B V1 Parameters and Internals

LLM Name	MN Raven 12B V1
Repository 🤗	https://huggingface.co/DarkArtsForge/MN-Raven-12B-v1
Base Model(s)	Naphula-Archives/MN-Raven-12B-v0c-Base-LoRA Naphula-Archives/MN-Raven-12B-v0o-Instruct-LoRA Naphula-Archives/MN-Raven-12B-v0c-Base-LoRA Naphula-Archives/MN-Raven-12B-v0o-Instruct-LoRA
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-09-04
Maintainer	DarkArtsForge
Model Type	mistral
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
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.56.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
LoRA Model	Yes

Rank the MN Raven 12B V1 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 Raven 12B V1

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
MN Slush	1000K / 24.5 GB	181	32
ChatWaifu V1.4	1000K / 24.5 GB	335	20
...g M Claude Opus High Reasoning	1000K / 24.5 GB	83	3
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9

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