What are the hardware requirements for Gemma 4 E4b It Bf16?

Gemma 4 E4b It Bf16 requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4b It Bf16 and how large is it?

Gemma 4 E4b It Bf16 is developed by mlx-community, a model with 8b 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 E4b It Bf16?

Gemma 4 E4b 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 E4b It Bf16 by mlx-community — VRAM 16GB

Name: Gemma 4 E4b It Bf16
Author: mlx-community

Gemma 4 E4b It Bf16 is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.26.

Any-to-any Gemma4 Mlx Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-e4b-it-bf16

Gemma 4 E4b It Bf16 Parameters and Internals

LLM Name	Gemma 4 E4b It Bf16
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-e4b-it-bf16
Base Model(s)	google/gemma-4-e4b-it google/gemma-4-e4b-it
Model Size	8b
Required VRAM	16 GB
Updated	2026-06-08
Maintainer	mlx-community
Model Type	gemma4
Model Files	5.4 GB: 1-of-4 3.9 GB: 2-of-4 5.6 GB: 3-of-4 1.0 GB: 4-of-4
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4b 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

Best Alternatives to Gemma 4 E4b It Bf16

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Gemma 4 E4B It	0K / 16 GB	4027807	1785
Gemma 4 E4B It	0K / 16 GB	229908	23
...DIA Nemotron 3.5 Bolt E4B BF16	0K / 15.9 GB	3418	56
Gemma 4 E4B	0K / 16 GB	268109	386
...Nemotron 3.5 Bolt E4B MLX OQ8e	0K / 8.9 GB	150	1
Lite OmniJev	0K / 32.1 GB	184	1
Vishwamai Stage1	0K / 16 GB	472	0
Linne Sprout 1 0	0K / 16 GB	35	1
Gemma4 E4B 8B Heretic Ultra	0K / 16 GB	98	0
Gemma 4 E4B It FP8 Dynamic	0K / 12 GB	31	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-e4b-it-bf16.