What are the hardware requirements for Magnum V4 12B?

Magnum V4 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 V4 12B and how large is it?

Magnum V4 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 V4 12B?

Magnum V4 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magnum V4 12B by anthracite-org — VRAM 24.5GB, 1000K context

Name: Magnum V4 12B
Author: anthracite-org

Magnum V4 12B is an open-source language model by anthracite-org. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Chat Conversational Dataset:anthracite-org/c2 logs... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo mi... Dataset:anthracite-org/kalo op... Dataset:anthracite-org/nopm cl... En Endpoints compatible Instruct Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v4-12b

Magnum V4 12B Parameters and Internals

Model Type

text-generation

Additional Notes

Designed to replicate the prose quality of Claude 3 models, specifically Sonnet and Opus.

Training Details

Data Sources:

anthracite-org/c2_logs_32k_llama3_qwen2_v1.2_no_system, anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system, anthracite-org/kalo-opus-instruct-3k-filtered-no-system, anthracite-org/nopm_claude_writing_fixed, anthracite-org/kalo_opus_misc_240827_no_system, anthracite-org/kalo_misc_part2_no_system

Methodology:

Fine-tuning

Context Length:

32768

Training Time:

2 epochs

Hardware Used:

8x H100 GPUs

Input Output

Input Format:

Instruct format inside SillyTavern

Accepted Modalities:

text

Output Format:

Assistant message format

LLM Name	Magnum V4 12B
Repository 🤗	https://huggingface.co/anthracite-org/magnum-v4-12b
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-02
Maintainer	anthracite-org
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
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Magnum V4 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 V4 12B

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
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	114	3
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9
Mistral Nemo Wissenschaft 12B	1000K / 24.5 GB	22	8

Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v4-12b.