What are the hardware requirements for Gemma 4 26B A4B It Qat 8bit?

Gemma 4 26B A4B It Qat 8bit requires approximately 27.9 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 Qat 8bit and how large is it?

Gemma 4 26B A4B It Qat 8bit is developed by mlx-community, 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 Qat 8bit?

Gemma 4 26B A4B It Qat 8bit 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 Qat 8bit by mlx-community — VRAM 27.9GB

Name: Gemma 4 26B A4B It Qat 8bit
Author: mlx-community

Gemma 4 26B A4B It Qat 8bit is an open-source language model by mlx-community. Features: 26b LLM, VRAM: 27.9GB, Quantized, LLM Explorer Score: 0.25.

8-bit 8bit Conversational En Gemma4 Image-text-to-text Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-26B-A4B-it-qat-8bit

Gemma 4 26B A4B It Qat 8bit Parameters and Internals

LLM Name	Gemma 4 26B A4B It Qat 8bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-26B-A4B-it-qat-8bit
Model Size	26b
Required VRAM	27.9 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	gemma4
Model Files	5.2 GB: 1-of-6 5.2 GB: 2-of-6 5.2 GB: 3-of-6 5.2 GB: 4-of-6 5.2 GB: 5-of-6 1.9 GB: 6-of-6
Supported Languages	en
Quantization Type	8bit
Model Architecture	Gemma4ForConditionalGeneration
Transformers Version	5.6.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 26B A4B It Qat 8bit 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 Qat 8bit

Best Alternatives	Context / RAM	Downloads	Likes
OTel 2.0 Decision 26B A4B 4bit	0K / 17.3 GB	914755	4
...6B A4B It Qat Q4 0 Unquantized	0K / 51.6 GB	33696	50
Gemma 4 26B A4b It 4bit	0K / 15.4 GB	27543	79
...yberSecurity 26B A4B V2 Q8 MLX	0K / 40.6 GB	393	1
...yberSecurity 26B A4B V2 Q4 MLX	0K / 35.4 GB	246	1
...6B A4B It Qat Q4 0 Unquantized	0K / 51.6 GB	3487	3
OTel 2.0 Decision 26B A4B 4bit	0K / 17.3 GB	63	1
Gemma 4 26B A4b It 8bit	0K / 27.9 GB	2917	14
Gemma 4 26B A4b It UD MLX 4bit	0K / 16.2 GB	1527	34
Gemma 4 26B A4b It MLX 8bit	0K / 27.9 GB	936	16

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-26B-A4B-it-qat-8bit.