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

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

Gemma 4 26B A4B It Noloop is developed by edgerunner-ai, a model with 26b 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 26B A4B It Noloop?

Gemma 4 26B A4B It Noloop is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 26B A4B It Noloop by edgerunner-ai — VRAM 51.6GB

Name: Gemma 4 26B A4B It Noloop
Author: edgerunner-ai

Gemma 4 26B A4B It Noloop is an open-source language model by edgerunner-ai. Features: 26b LLM, VRAM: 51.6GB, License: apache-2.0, LLM Explorer Score: 0.24.

Arxiv:2606.13705 Base model:finetune:google/gem... Base model:google/gemma-4-26b-... Conversational Endpoints compatible Gemma4 Image-text-to-text Region:us Safetensors Sharded Tensorflow

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

Gemma 4 26B A4B It Noloop Parameters and Internals

LLM Name	Gemma 4 26B A4B It Noloop
Repository 🤗	https://huggingface.co/edgerunner-ai/gemma-4-26B-A4B-it-noloop
Base Model(s)	Gemma 4 26B A4B google/gemma-4-26B-A4B
Model Size	26b
Required VRAM	51.6 GB
Updated	2026-09-12
Maintainer	edgerunner-ai
Model Type	gemma4
Model Files	49.3 GB: 1-of-2 2.3 GB: 2-of-2
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.8.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 26B A4B It Noloop 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

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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 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
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

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