What are the hardware requirements for Gemma 4 31B Styletune Voice?

Gemma 4 31B Styletune Voice requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 31B Styletune Voice and how large is it?

Gemma 4 31B Styletune Voice is developed by Wiself, 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 Gemma 4 31B Styletune Voice?

Gemma 4 31B Styletune Voice is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 31B Styletune Voice by Wiself — VRAM 2.8GB

Name: Gemma 4 31B Styletune Voice
Author: Wiself

Gemma 4 31B Styletune Voice is an open-source language model by Wiself. Features: 31b LLM, VRAM: 2.8GB, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:gryphe/gem... Base model:gryphe/gemma-4-31b-... Creative-writing En Gemma4 Gguf Region:us Roleplay Style-transfer Styletune Voice

Model Card on HF 🤗: https://huggingface.co/Wiself/gemma-4-31B-Styletune-Voice

Gemma 4 31B Styletune Voice Parameters and Internals

LLM Name	Gemma 4 31B Styletune Voice
Repository 🤗	https://huggingface.co/Wiself/gemma-4-31B-Styletune-Voice
Base Model(s)	Gemma 4 31B StyleTune Gryphe/Gemma-4-31B-StyleTune
Model Size	31b
Required VRAM	2.8 GB
Updated	2026-09-05
Maintainer	Wiself
Model Type	voice
Model Files	2.8 GB
Supported Languages	en
License	apache-2.0

Rank the Gemma 4 31B Styletune Voice 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