What are the hardware requirements for Gemma 4 26B A4B StyleTune V2?

Gemma 4 26B A4B StyleTune V2 requires approximately 53.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 26B A4B StyleTune V2 and how large is it?

Gemma 4 26B A4B StyleTune V2 is developed by Gryphe, a model with 26b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 4 26B A4B StyleTune V2 perform on standard benchmarks?

Gemma 4 26B A4B StyleTune V2 has the following published scores: LMSYS ELO 1438. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 4 26B A4B StyleTune V2 by Gryphe — VRAM 53.1GB

Name: Gemma 4 26B A4B StyleTune V2
Author: Gryphe

Gemma 4 26B A4B StyleTune V2 is an open-source language model by Gryphe. Features: 26b LLM, VRAM: 53.1GB, License: apache-2.0, LLM Explorer Score: 0.44, ELO: 1438.

Base model:finetune:google/gem... Base model:google/gemma-4-26b-... Conversational Creative-writing En Finetuned Gemma4 Instruct Region:us Roleplay Safetensors Sharded Style-tune Tensorflow

Model Card on HF 🤗: https://huggingface.co/Gryphe/Gemma-4-26B-A4B-StyleTune-V2

Gemma 4 26B A4B StyleTune V2 Benchmarks

LMSys ELO 1438 vs 1272 (so35) 13.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 26B A4B StyleTune V2 Parameters and Internals

LLM Name	Gemma 4 26B A4B StyleTune V2
Repository 🤗	https://huggingface.co/Gryphe/Gemma-4-26B-A4B-StyleTune-V2
Base Model(s)	Gemma 4 26B A4B It google/gemma-4-26B-A4B-it
Model Size	26b
Required VRAM	53.1 GB
Updated	2026-08-08
Maintainer	Gryphe
Model Type	gemma4
Model Files	49.2 GB: 1-of-2 3.9 GB: 2-of-2
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.10.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 26B A4B StyleTune V2 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 Gemma 4 26B A4B StyleTune V2

Best Alternatives	Context / RAM	Downloads	Likes
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	28545	28
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
WaifuGemma4 26B A4b V1	0K / 51.6 GB	850	10
Gemma 4 26B A4B It NVFP4	0K / 16.9 GB	154663	21
Gemma 4 26B A4B It FP8 Dynamic	0K / 28.6 GB	1136349	38
Gemma 4 26B A4B It NVFP4	0K / 16.4 GB	742819	39

Note: green Score (e.g. "73.2") means that the model is better than Gryphe/Gemma-4-26B-A4B-StyleTune-V2.