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

Gemma 4 26B A4B It DFlash requires approximately 0.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Gemma 4 26B A4B It DFlash is developed by z-lab, 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 DFlash?

Gemma 4 26B A4B It DFlash 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 DFlash by z-lab — VRAM 0.9GB, 256K context

Name: Gemma 4 26B A4B It DFlash
Author: z-lab

Gemma 4 26B A4B It DFlash is an open-source language model by z-lab. Features: 26b LLM, VRAM: 0.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.3.

Arxiv:2602.06036 Block-diffusion Dflash Diffusion-language-model Draft-model Efficiency Endpoints compatible Gemma Qwen Qwen3 Region:us Safetensors Speculative-decoding

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

Gemma 4 26B A4B It DFlash Parameters and Internals

LLM Name	Gemma 4 26B A4B It DFlash
Repository 🤗	https://huggingface.co/z-lab/gemma-4-26B-A4B-it-DFlash
Model Size	26b
Required VRAM	0.9 GB
Updated	2026-08-03
Maintainer	z-lab
Model Type	qwen3
Model Files	0.9 GB
Model Architecture	DFlashDraftModel
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.6.0
Vocabulary Size	262144

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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