What are the hardware requirements for Magnum V4 22B?

Magnum V4 22B requires approximately 44.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Magnum V4 22B and how large is it?

Magnum V4 22B is developed by anthracite-org, a model with 22b 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 22B?

Magnum V4 22B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magnum V4 22B by anthracite-org — VRAM 44.7GB, 32K context

Name: Magnum V4 22B
Author: anthracite-org

Magnum V4 22B is an open-source language model by anthracite-org. Features: 22b LLM, VRAM: 44.7GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.23.

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-v4-22b

Magnum V4 22B Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

anthracite-org/c2_logs_32k_mistral-v3_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

Context Length:

32768

Training Time:

2 epochs

Hardware Used:

8x H100s GPUs

LLM Name	Magnum V4 22B
Repository 🤗	https://huggingface.co/anthracite-org/magnum-v4-22b
Model Size	22b
Required VRAM	44.7 GB
Updated	2026-08-05
Maintainer	anthracite-org
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-9 5.0 GB: 2-of-9 5.0 GB: 3-of-9 4.9 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 4.9 GB: 7-of-9 5.0 GB: 8-of-9 5.0 GB: 9-of-9
Supported Languages	en
Model Architecture	MistralForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Magnum V4 22B 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 22B

Best Alternatives	Context / RAM	Downloads	Likes
MS Schisandra 22B V0.2	128K / 44.7 GB	8	9
...ntheon RP Pure 1.6.2 22B Small	128K / 44.7 GB	17	35
MS Meadowlark 22B	128K / 44.7 GB	13	16
MS Inky 2409 22B	128K / 44.7 GB	5	0
MS Springydragon 2409 22B	128K / 44.7 GB	8	0
MS Moingooistral 2409 22B	128K / 44.7 GB	7	0
MS Quadrosiac 2409 22B	128K / 44.7 GB	6	0
... V4x1.6.2RP Cydonia VXXX 22B 8	128K / 44.7 GB	5	5
MS Fujin 2409 22B	128K / 44.7 GB	5	0
MS Dampf 2409 22B	128K / 44.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v4-22b.