What are the hardware requirements for Gemma 4 E2b It Bf16?

Gemma 4 E2b It Bf16 requires approximately 10.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2b It Bf16 and how large is it?

Gemma 4 E2b It Bf16 is developed by mlx-community, a model with 5.1b 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 Bf16?

Gemma 4 E2b It Bf16 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 Bf16 by mlx-community — VRAM 10.2GB

Name: Gemma 4 E2b It Bf16
Author: mlx-community

Gemma 4 E2b It Bf16 is an open-source language model by mlx-community. Features: 5.1b LLM, VRAM: 10.2GB, License: gemma, LLM Explorer Score: 0.25.

Base model:finetune:google/gem... Base model:google/gemma-4-e2b-... Conversational Gemma4 Image-text-to-text Mlx Mlx-vlm Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-e2b-it-bf16

Gemma 4 E2b It Bf16 Parameters and Internals

LLM Name	Gemma 4 E2b It Bf16
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-e2b-it-bf16
Base Model(s)	Gemma 4 E2B It google/gemma-4-E2B-it
Model Size	5.1b
Required VRAM	10.2 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	gemma4
Model Files	4.5 GB: 1-of-3 5.4 GB: 2-of-3 0.3 GB: 3-of-3
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E2b It Bf16 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

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-e2b-it-bf16.