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

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

Gemma 4 26B A4B Agentic is developed by ManniX-ITA, 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 Agentic?

Gemma 4 26B A4B Agentic 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 Agentic by ManniX-ITA — VRAM 51.6GB

Name: Gemma 4 26B A4B Agentic
Author: ManniX-ITA

Gemma 4 26B A4B Agentic is an open-source language model by ManniX-ITA. Features: 26b LLM, VRAM: 51.6GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Agentic Base model:finetune:google/gem... Base model:google/gemma-4-26b-... Coding Conversational Dataset:interstellarninja/herm... Dataset:lambda/hermes-agent-re... Dataset:mannix-ita/gemma-4-26b... Dataset:mannix-ita/hermes-agen... Dataset:nvidia/nemotron-instru... Dataset:nvidia/nemotron-scienc... Dataset:nvidia/nemotron-sft-ag... Dataset:nvidia/nemotron-sft-co... Dataset:nvidia/nemotron-sft-in... Dataset:nvidia/nemotron-sft-ma... Dataset:nvidia/nemotron-sft-mu... Dataset:nvidia/nemotron-sft-op... Dataset:nvidia/nemotron-sft-sw... En Endpoints compatible Gemma4 Image-text-to-text Instruct Moe Omk-model-optimizer On-policy Reasoning Region:us Safetensors Sft Sharded Tensorflow Tool-calling

Model Card on HF 🤗: https://huggingface.co/ManniX-ITA/gemma-4-26B-A4B-agentic

Gemma 4 26B A4B Agentic Parameters and Internals

LLM Name	Gemma 4 26B A4B Agentic
Repository 🤗	https://huggingface.co/ManniX-ITA/gemma-4-26B-A4B-agentic
Base Model(s)	Gemma 4 26B A4B It google/gemma-4-26B-A4B-it
Model Size	26b
Required VRAM	51.6 GB
Updated	2026-11-14
Maintainer	ManniX-ITA
Model Type	gemma4
Instruction-Based	Yes
Model Files	49.9 GB: 1-of-2 1.7 GB: 2-of-2
Supported Languages	en
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 Agentic 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 Agentic

Best Alternatives	Context / RAM	Downloads	Likes
G4 MeroMero 26B A4B	0K / 51.6 GB	650	100
...ma4 26B Abliterated Multimodal	0K / 51.6 GB	354	88
Gemopus 4 26B A4B It	0K / 51.6 GB	1282	14
Gemopus 4 26B A4B It Preview	0K / 51.6 GB	1243	2
G4 26B A4B Musica V1	0K / 51.6 GB	55	16
... 26B A4B It Uncensored Heretic	0K / 51.6 GB	296	27
Gemopus 4 26B A4B It GGUF	0K / 1.2 GB	2783	101