What are the hardware requirements for Gemma 4 E2B It Qat Mobile?

Gemma 4 E2B It Qat Mobile requires approximately 2.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2B It Qat Mobile and how large is it?

Gemma 4 E2B It Qat Mobile is developed by mlx-community, a model with 2.3b 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 E2B It Qat Mobile?

Gemma 4 E2B It Qat Mobile is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E2B It Qat Mobile by mlx-community — VRAM 2.4GB

Name: Gemma 4 E2B It Qat Mobile
Author: mlx-community

Gemma 4 E2B It Qat Mobile is an open-source language model by mlx-community. Features: 2.3b LLM, VRAM: 2.4GB, LLM Explorer Score: 0.31.

8-bit Conversational En Gemma Gemma4 Image-text-to-text Mlx Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-E2B-it-qat-mobile

Gemma 4 E2B It Qat Mobile Parameters and Internals

LLM Name	Gemma 4 E2B It Qat Mobile
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-E2B-it-qat-mobile
Model Size	2.3b
Required VRAM	2.4 GB
Updated	2026-08-29
Maintainer	mlx-community
Model Type	gemma4
Model Files	2.4 GB
Supported Languages	en
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

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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