What are the hardware requirements for Magnum V2 12B?

Magnum V2 12B 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 Magnum V2 12B and how large is it?

Magnum V2 12B is developed by anthracite-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 Magnum V2 12B?

Magnum V2 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magnum V2 12B by anthracite-org — VRAM 24.5GB, 1000K context

Name: Magnum V2 12B
Author: anthracite-org

Magnum V2 12B is an open-source language model by anthracite-org. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Chat Conversational De En Es Fr It Ja Mistral Model-index Pt Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v2-12b

Magnum V2 12B Parameters and Internals

Model Type

text generation, chat

Supported Languages

en (English), fr (French), de (German), es (Spanish), it (Italian), pt (Portuguese), ru (Russian), zh (Chinese), ja (Japanese)

Training Details

Data Sources:

Stheno dataset (filtered), kalomaze/Opus_Instruct_25k, Nopm/Opus_WritingStruct, Gryphe/Sonnet3.5-SlimOrcaDedupCleaned, kalomaze/Opus_Instruct_3k

Data Volume:

~16k rows subset from Gryphe/Sonnet3.5-SlimOrcaDedupCleaned

Methodology:

Instruct tuned with ChatML formatting, fine-tuned for 2 epochs

Hardware Used:

8x NVIDIA H100 Tensor Core GPUs

LLM Name	Magnum V2 12B
Repository 🤗	https://huggingface.co/anthracite-org/magnum-v2-12b
Base Model(s)	Mistral Nemo Base 2407 mistralai/Mistral-Nemo-Base-2407
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-06-30
Maintainer	anthracite-org
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
Supported Languages	en fr de es it pt ru zh ja
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Magnum V2 12B 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 Magnum V2 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
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
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2

Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v2-12b.