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

Gemma 4 26B A4B It 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 and how large is it?

Gemma 4 26B A4B It 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 perform on standard benchmarks?

Gemma 4 26B A4B It 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 by google — VRAM 51.6GB

Name: Gemma 4 26B A4B It
Author: google

Gemma 4 26B A4B It is an open-source language model by google. Features: 26b LLM, VRAM: 51.6GB, License: apache-2.0, LLM Explorer Score: 0.6, ELO: 1438.

Base model:finetune:google/gem... Base model:google/gemma-4-26b-... Deploy:azure Endpoints compatible Eval-results Image-text-to-text Region:us Safetensors Sharded Tensorflow

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

Gemma 4 26B A4B It 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 Parameters and Internals

LLM Name	Gemma 4 26B A4B It
Repository 🤗	https://huggingface.co/google/gemma-4-26B-A4B-it
Base Model(s)	Gemma 4 26B A4B google/gemma-4-26B-A4B
Model Size	26b
Required VRAM	51.6 GB
Updated	2026-05-26
Maintainer	google
Model Type	gemma4
Model Files	49.9 GB: 1-of-2 1.7 GB: 2-of-2
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 26B A4B It 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

Model	Likes	Downloads	VRAM
Gemma 4 26B A4B It GGUF	1035	1436859	0 GB
Gemma 4 26B A4B It AWQ 4bit	91	3069023	17 GB
...6B A4B It Qat Q4 0 Unquantized	50	33696	51 GB
Gemma 4 26B A4b It 4bit	79	27543	15 GB
...t Q4 0 Unquantized Heretic Ara	1	370	51 GB
...6B A4B It Qat Q4 0 Unquantized	3	3487	51 GB
Gemma 4 26B A4b It 8bit	14	2917	27 GB
Gemma 4 26B A4b It UD MLX 4bit	34	1527	16 GB
Gemma 4 26B A4b It MLX 8bit	16	936	27 GB
...at Q4 0 Unquantized Heretic Ja	1	34	51 GB

Best Alternatives to Gemma 4 26B A4B It

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 26B A4B	0K / 51.6 GB	624397	370
Gemma 4 26B A4B It	0K / 51.6 GB	43010	24
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 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
G4 Dark Soul 26B A4B	0K / 51.6 GB	906	17