What are the hardware requirements for Gemma 4 26B A4B It Qat Q4 0 Unquantized?

Gemma 4 26B A4B It Qat Q4 0 Unquantized requires approximately 51.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 26B A4B It Qat Q4 0 Unquantized and how large is it?

Gemma 4 26B A4B It Qat Q4 0 Unquantized is developed by google, 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 It Qat Q4 0 Unquantized perform on standard benchmarks?

Gemma 4 26B A4B It Qat Q4 0 Unquantized 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 It Qat Q4 0 Unquantized by google — VRAM 51.6GB

Name: Gemma 4 26B A4B It Qat Q4 0 Unquantized
Author: google

Gemma 4 26B A4B It Qat Q4 0 Unquantized is an open-source language model by google. Features: 26b LLM, VRAM: 51.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.47, ELO: 1438.

Arxiv:2607.02770 Base model:finetune:google/gem... Base model:google/gemma-4-26b-... Conversational Endpoints compatible Gemma4 Image-text-to-text Q4 Q4 0 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/google/gemma-4-26B-A4B-it-qat-q4_0-unquantized

Gemma 4 26B A4B It Qat Q4 0 Unquantized 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 It Qat Q4 0 Unquantized Parameters and Internals

LLM Name	Gemma 4 26B A4B It Qat Q4 0 Unquantized
Repository 🤗	https://huggingface.co/google/gemma-4-26B-A4B-it-qat-q4_0-unquantized
Base Model(s)	Gemma 4 26B A4B It google/gemma-4-26B-A4B-it
Model Size	26b
Required VRAM	51.6 GB
Updated	2026-08-09
Maintainer	google
Model Type	gemma4
Model Files	49.9 GB: 1-of-2 1.7 GB: 2-of-2
Quantization Type	q4\|q4_0
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.6.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 26B A4B It Qat Q4 0 Unquantized 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

Quantized Models of the Gemma 4 26B A4B It Qat Q4 0 Unquantized

Model	Likes	Downloads	VRAM
Gemma 4 26B A4B It Qat GGUF	368	349063	0 GB
...ma 4 26B A4B It Qat OptiQ 4bit	4	2674	20 GB

Best Alternatives to Gemma 4 26B A4B It Qat Q4 0 Unquantized

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 26B A4b It 4bit	0K / 15.4 GB	27543	79
...6B A4B It Qat Q4 0 Unquantized	0K / 51.6 GB	3487	3
Gemma 4 26B A4b It 8bit	0K / 27.9 GB	2917	14
...at Q4 0 Unquantized Heretic Ja	0K / 51.6 GB	34	1
Gemma 4 26B A4b 4bit	0K / 15.6 GB	488	19
Gemma 4 26B A4b It 6bit	0K / 21.7 GB	611	7
Gemma 4 26B A4b 8bit	0K / 27.9 GB	162	7
Gemma 4 26B A4b It 5bit	0K / 18.5 GB	111	3
Gemma 4 26B A4b 6bit	0K / 21.7 GB	60	3
Gemma 4 26B A4b 5bit	0K / 18.7 GB	45	1