What are the hardware requirements for Gemma 4 E2b It OptiQ 4bit?

Gemma 4 E2b It OptiQ 4bit requires approximately 4.3 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2b It OptiQ 4bit and how large is it?

Gemma 4 E2b It OptiQ 4bit is developed by mlx-community, a model with 1.1b 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 OptiQ 4bit?

Gemma 4 E2b It OptiQ 4bit 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 OptiQ 4bit by mlx-community — VRAM 4.3GB, 128K context

Name: Gemma 4 E2b It OptiQ 4bit
Author: mlx-community

Gemma 4 E2b It OptiQ 4bit is an open-source language model by mlx-community. Features: 1.1b LLM, VRAM: 4.3GB, Context: 128K, License: gemma, Quantized, LLM Explorer Score: 0.26.

4-bit 4bit 8bit Apple-silicon Conversational Gemma-4 Gemma4 Mixed-precision Mlx Optiq Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-e2b-it-OptiQ-4bit

Gemma 4 E2b It OptiQ 4bit Parameters and Internals

LLM Name	Gemma 4 E2b It OptiQ 4bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-e2b-it-OptiQ-4bit
Base Model(s)	google/gemma-4-e2b-it google/gemma-4-e2b-it
Model Size	1.1b
Required VRAM	4.3 GB
Updated	2026-07-21
Maintainer	mlx-community
Model Type	gemma4
Model Files	4.3 GB
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Context Length	131072
Model Max Length	131072
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Gemma 4 E2b It OptiQ 4bit capabilities

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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

Best Alternatives to Gemma 4 E2b It OptiQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E2b It Qat OptiQ 4bit	0K / 1 GB	871	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-e2b-it-OptiQ-4bit.