What are the hardware requirements for Scarlet Shadow 31B?

Scarlet Shadow 31B requires approximately 62.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Scarlet Shadow 31B and how large is it?

Scarlet Shadow 31B is developed by Vortex5, a model with 31b 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 Scarlet Shadow 31B?

Scarlet Shadow 31B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Scarlet Shadow 31B by Vortex5 — VRAM 62.6GB

Name: Scarlet Shadow 31B
Author: Vortex5

Scarlet Shadow 31B is an open-source language model by Vortex5. Features: 31b LLM, VRAM: 62.6GB, License: apache-2.0, Merged, LLM Explorer Score: 0.31.

Merged Model Base model:google/gemma-4-31b-... Base model:readyart/dark-scarl... Base model:readyart/gemma-4-31... Base model:vortex5/glimmering-... Conversational Endpoints compatible Gemma4 Image-text-to-text Region:us Roleplay Safetensors Sharded Storytelling Tensorflow

Model Card on HF 🤗: https://huggingface.co/Vortex5/Scarlet-Shadow-31B

Scarlet Shadow 31B Parameters and Internals

LLM Name	Scarlet Shadow 31B
Repository 🤗	https://huggingface.co/Vortex5/Scarlet-Shadow-31B
Base Model(s)	Gemma 4 31B It Gemma 4 31B It Scotoma 2 ReadyArt/Dark-Scarlett-v2.0-31B Glimmering Citrus 31B google/gemma-4-31B-it ReadyArt/gemma-4-31B-it-scotoma-2 ReadyArt/Dark-Scarlett-v2.0-31B Vortex5/Glimmering-Citrus-31B
Merged Model	Yes
Model Size	31b
Required VRAM	62.6 GB
Updated	2026-08-25
Maintainer	Vortex5
Model Type	gemma4
Model Files	5.0 GB: 1-of-13 4.9 GB: 2-of-13 4.9 GB: 3-of-13 4.9 GB: 4-of-13 4.8 GB: 5-of-13 4.9 GB: 6-of-13 4.9 GB: 7-of-13 4.9 GB: 8-of-13 4.8 GB: 9-of-13 4.8 GB: 10-of-13 4.9 GB: 11-of-13 4.9 GB: 12-of-13 4.0 GB: 13-of-13
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Scarlet Shadow 31B 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 Scarlet Shadow 31B

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 31B It	0K / 62.6 GB	10706625	2780
Gemma 4 31B It	0K / 62.6 GB	30339	22
Gemma 4 31B IT NVFP4	0K / 32.6 GB	2773900	547
Gemma 4 31B	0K / 62.6 GB	1785	19
Gemma 4 31B JANG 4M CRACK	0K / 22.6 GB	24056	1704
Gemma 4 31B	0K / 62.6 GB	694395	498
Gemma 4 31B It FP8 Block	0K / 33.3 GB	3798582	44
Gemma 4 31B It NVFP4	0K / 23.3 GB	1115539	57
Gemma 4 31B It NVFP4	0K / 24.8 GB	39440	31
Gemma 4 31B It Abliterated	0K / 62.5 GB	751355	24

Note: green Score (e.g. "73.2") means that the model is better than Vortex5/Scarlet-Shadow-31B.