What are the hardware requirements for Gemma 4 E4B Mlx 4bit?

Gemma 4 E4B Mlx 4bit requires approximately 5.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B Mlx 4bit and how large is it?

Gemma 4 E4B Mlx 4bit is developed by deadbydawn101, a model with 1.7b 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 Mlx 4bit?

Gemma 4 E4B Mlx 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E4B Mlx 4bit by deadbydawn101 — VRAM 5.2GB

Name: Gemma 4 E4B Mlx 4bit
Author: deadbydawn101

Gemma 4 E4B Mlx 4bit is an open-source language model by deadbydawn101. Features: 1.7b LLM, VRAM: 5.2GB, License: gemma, Quantized, LLM Explorer Score: 0.25.

4-bit 4bit Any-to-any Apple-silicon Base model:google/gemma-4-e4b-... Base model:quantized:google/ge... Chain-of-thought Claude-code Conversational Dataset:crownelius/opus-4.6-re... En Function-calling Gemma4 Image-text-to-text Kv-cache-compression Long-context Mlx Multimodal Opus Quantized Ravenx Reasoning Region:us Safetensors Sft Tool-calling Turboquant Vision

Model Card on HF 🤗: https://huggingface.co/deadbydawn101/gemma-4-E4B-mlx-4bit

Gemma 4 E4B Mlx 4bit Parameters and Internals

LLM Name	Gemma 4 E4B Mlx 4bit
Repository 🤗	https://huggingface.co/deadbydawn101/gemma-4-E4B-mlx-4bit
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	1.7b
Required VRAM	5.2 GB
Updated	2026-07-25
Maintainer	deadbydawn101
Model Type	gemma4
Model Files	5.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B Mlx 4bit 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

Quantized Models of the Gemma 4 E4B Mlx 4bit

Model	Likes	Downloads	VRAM
...s Reasoning GeminiCLI Mlx 4bit	31	156680	11 GB

Best Alternatives to Gemma 4 E4B Mlx 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4b It 4bit	0K / 5.2 GB	44601	30
Gemma 4 E4b 4bit	0K / 5.2 GB	340	6

Note: green Score (e.g. "73.2") means that the model is better than deadbydawn101/gemma-4-E4B-mlx-4bit.