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

Gemma 4 26B A4B It GGUF requires approximately 0.5 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 GGUF and how large is it?

Gemma 4 26B A4B It GGUF is developed by unsloth, 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 GGUF perform on standard benchmarks?

Gemma 4 26B A4B It GGUF 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 GGUF by unsloth — VRAM 0.5GB

Name: Gemma 4 26B A4B It GGUF
Author: unsloth

Gemma 4 26B A4B It GGUF is an open-source language model by unsloth. Features: 26b LLM, VRAM: 0.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.59, ELO: 1438.

Base model:google/gemma-4-26b-... Base model:quantized:google/ge... Conversational Endpoints compatible Gemma Gemma4 Gguf Google Image-text-to-text Imatrix Q8 Quantized Region:us Unsloth

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

Gemma 4 26B A4B It GGUF 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 GGUF Parameters and Internals

LLM Name	Gemma 4 26B A4B It GGUF
Repository 🤗	https://huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF
Base Model(s)	Gemma 4 26B A4B It google/gemma-4-26B-A4B-it
Model Size	26b
Required VRAM	0.5 GB
Updated	2026-08-08
Maintainer	unsloth
Model Type	gemma4
Model Files	16.6 GB 26.9 GB 10.0 GB 9.9 GB 11.3 GB 11.4 GB 13.6 GB 13.6 GB 10.5 GB 12.7 GB 12.9 GB 16.9 GB 16.5 GB 17.0 GB 21.2 GB 18.9 GB 21.2 GB 23.2 GB 23.3 GB 27.6 GB 1.2 GB 1.2 GB 2.3 GB 0.5 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q8\|q4_k\|q5_k
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Torch Data Type	bfloat16

Rank the Gemma 4 26B A4B It GGUF 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 It GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Swarm Sovereign 26B	0K / 51.6 GB	50	1
Gemopus 4 26B A4B It GGUF	0K / 1.2 GB	2783	101
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
...ma 4 26B A4B It Qat OptiQ 4bit	0K / 20.7 GB	2674	4
Gemma 4 26B A4B It OptiQ 4bit	0K / 17.5 GB	4155	18
Gemma 4 26B A4B It	0K / 51.6 GB	10405989	1007
Gemma 4 26B A4B StyleTune V2	0K / 53.1 GB	1598	49
Gemma 4 26B A4B It	0K / 51.6 GB	43010	24
Gemma 4 26B A4b It Bf16	0K / 51.6 GB	1517	3

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-4-26B-A4B-it-GGUF.