What are the hardware requirements for Gemma 4 E4b It 8bit?

Gemma 4 E4b It 8bit requires approximately 8.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4b It 8bit and how large is it?

Gemma 4 E4b It 8bit is developed by mlx-community, a model with 2.6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 4 E4b It 8bit perform on standard benchmarks?

Gemma 4 E4b It 8bit has the following published scores: LMSYS ELO 1318. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 4 E4b It 8bit by mlx-community — VRAM 8.9GB

Name: Gemma 4 E4b It 8bit
Author: mlx-community

Gemma 4 E4b It 8bit is an open-source language model by mlx-community. Features: 2.6b LLM, VRAM: 8.9GB, License: gemma, Quantized, LLM Explorer Score: 0.4, ELO: 1318.

8-bit 8bit Base model:google/gemma-4-e4b-... Base model:quantized:google/ge... Conversational Gemma4 Image-text-to-text Mlx Mlx-vlm Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-e4b-it-8bit

Gemma 4 E4b It 8bit Benchmarks

LMSys ELO 1318 vs 1272 (so35) 3.6%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 E4b It 8bit Parameters and Internals

LLM Name	Gemma 4 E4b It 8bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-e4b-it-8bit
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	2.6b
Required VRAM	8.9 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	gemma4
Model Files	4.9 GB: 1-of-2 4.0 GB: 2-of-2
Quantization Type	8bit
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4b It 8bit 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 E4b It 8bit

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Gemma 4 E4B It MLX 8bit	0K / 9 GB	760	12
Gemma 4 E4b It Mxfp8	0K / 8.7 GB	371	9