What are the hardware requirements for Magnolia V4 12B?

Magnolia V4 12B 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 Magnolia V4 12B and how large is it?

Magnolia V4 12B is developed by grimjim, 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 Magnolia V4 12B?

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

Magnolia V4 12B by grimjim — VRAM 24.5GB, 128K context

Name: Magnolia V4 12B
Author: grimjim

Magnolia V4 12B is an open-source language model by grimjim. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.22.

Merged Model Base model:grimjim/magnolia-v3... Base model:intervitens/mini-ma... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/grimjim/Magnolia-v4-12B

Magnolia V4 12B Parameters and Internals

LLM Name	Magnolia V4 12B
Repository 🤗	https://huggingface.co/grimjim/Magnolia-v4-12B
Base Model(s)	Magnolia V3 12B intervitens/mini-magnum-12b-v1.1 grimjim/Magnolia-v3-12B intervitens/mini-magnum-12b-v1.1
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-08
Maintainer	grimjim
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
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Magnolia V4 12B 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
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
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Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
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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

Note: green Score (e.g. "73.2") means that the model is better than grimjim/Magnolia-v4-12B.