What are the hardware requirements for Gemma 4 E4B It Qat Bf16?

Gemma 4 E4B It Qat Bf16 requires approximately 15.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B It Qat Bf16 and how large is it?

Gemma 4 E4B It Qat Bf16 is developed by mlx-community, a model with 7.9b 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 Qat Bf16?

Gemma 4 E4B It Qat 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 Qat Bf16 by mlx-community — VRAM 15.9GB

Name: Gemma 4 E4B It Qat Bf16
Author: mlx-community

Gemma 4 E4B It Qat Bf16 is an open-source language model by mlx-community. Features: 7.9b LLM, VRAM: 15.9GB, LLM Explorer Score: 0.25.

Conversational En Gemma4 Image-text-to-text Mlx Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-E4B-it-qat-bf16

Gemma 4 E4B It Qat Bf16 Parameters and Internals

LLM Name	Gemma 4 E4B It Qat Bf16
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-E4B-it-qat-bf16
Model Size	7.9b
Required VRAM	15.9 GB
Updated	2026-08-08
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
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
Transformers Version	5.6.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B It Qat 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 Qat Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Firehouse Cactus 1.0	0K / 15.9 GB	736	0
Quatfit Mini	0K / 31.8 GB	1074	7
... 4 E4B It Qat Q4 0 Unquantized	0K / 15.9 GB	10950	27

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-E4B-it-qat-bf16.