What are the hardware requirements for Shadow Siren 26B A4B?

Shadow Siren 26B A4B requires approximately 51.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Shadow Siren 26B A4B and how large is it?

Shadow Siren 26B A4B is developed by Vortex5, a model with 26b 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 Shadow Siren 26B A4B?

Shadow Siren 26B A4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Shadow Siren 26B A4B by Vortex5 — VRAM 51.6GB

Name: Shadow Siren 26B A4B
Author: Vortex5

Shadow Siren 26B A4B is an open-source language model by Vortex5. Features: 26b LLM, VRAM: 51.6GB, License: apache-2.0, LLM Explorer Score: 0.26.

Base model:darkhn/gemma-4-26b-... Base model:google/gemma-4-26b-... Base model:gryphe/pantheon-rea... Base model:merge:darkhn/gemma-... Base model:merge:google/gemma-... Base model:merge:gryphe/panthe... Base model:merge:readyart/dark... Base model:merge:readyart/sere... Base model:merge:zerofata/g4-m... Base model:readyart/dark-scarl... Base model:readyart/serenity-2... Base model:zerofata/g4-meromer... Conversational Endpoints compatible Gemma4 Image-text-to-text Merge Mergekit Region:us Roleplay Safetensors Sharded Storytelling Tensorflow

Model Card on HF 🤗: https://huggingface.co/Vortex5/Shadow-Siren-26B-A4B

Shadow Siren 26B A4B Parameters and Internals

LLM Name	Shadow Siren 26B A4B
Repository 🤗	https://huggingface.co/Vortex5/Shadow-Siren-26B-A4B
Base Model(s)	Gemma 4 26B A4B It G4 MeroMero 26B A4B ReadyArt/Serenity-26B-A4B Gryphe/Pantheon-Reasoning-26B-A4B-1.1 ReadyArt/Dark-Scarlett-v1.0-26B-A4B Darkhn/Gemma-4-26B-A4B-Animus-V14.1-FFT google/gemma-4-26B-A4B-it zerofata/G4-MeroMero-26B-A4B ReadyArt/Serenity-26B-A4B Gryphe/Pantheon-Reasoning-26B-A4B-1.1 ReadyArt/Dark-Scarlett-v1.0-26B-A4B Darkhn/Gemma-4-26B-A4B-Animus-V14.1-FFT
Model Size	26b
Required VRAM	51.6 GB
Updated	2026-08-11
Maintainer	Vortex5
Model Type	gemma4
Model Files	4.7 GB: 1-of-11 4.9 GB: 2-of-11 4.9 GB: 3-of-11 4.9 GB: 4-of-11 4.9 GB: 5-of-11 4.9 GB: 6-of-11 4.9 GB: 7-of-11 4.9 GB: 8-of-11 4.9 GB: 9-of-11 4.9 GB: 10-of-11 2.8 GB: 11-of-11
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Shadow Siren 26B A4B 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 Shadow Siren 26B A4B

Best Alternatives	Context / RAM	Downloads	Likes
GEV 26B Decide	0K / 51.6 GB	1013022	2316
Gemma 4 26B A4B It	0K / 51.6 GB	10405989	1007
Gemma 4 26B A4B	0K / 51.6 GB	624397	370
Gemma 4 26B A4B It	0K / 51.6 GB	30071	29
Gemma 4 26B A4B StyleTune V2	0K / 53.1 GB	1598	49
Gemma 4 26B A4B	0K / 51.6 GB	3368	19
Gemma 4 26B A4b It Bf16	0K / 51.6 GB	1517	3
Gemma 4 26B A4B NVFP4	0K / 18.8 GB	1424962	126
Gemma 4 26B A4B It FP8 Dynamic	0K / 28.6 GB	1136349	38
Goetia 26B A4B V1.7	0K / 52 GB	76	14

Note: green Score (e.g. "73.2") means that the model is better than Vortex5/Shadow-Siren-26B-A4B.