What are the hardware requirements for Gemma 4 E4B It Qat Exl3 4.0bpw?

Gemma 4 E4B It Qat Exl3 4.0bpw requires approximately 4.6 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 Exl3 4.0bpw and how large is it?

Gemma 4 E4B It Qat Exl3 4.0bpw is developed by cortexist, a model with 2.3b 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 Exl3 4.0bpw?

Gemma 4 E4B It Qat Exl3 4.0bpw 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 Exl3 4.0bpw by cortexist — VRAM 4.6GB

Name: Gemma 4 E4B It Qat Exl3 4.0bpw
Author: cortexist

Gemma 4 E4B It Qat Exl3 4.0bpw is an open-source language model by cortexist. Features: 2.3b LLM, VRAM: 4.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

4-bit Base model:google/gemma-4-e4b-... Base model:quantized:google/ge... Conversational En Exl3 Exllamav3 Gemma4 Jetson Orin Q4 Q4 0 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/cortexist/gemma-4-E4B-it-qat-exl3-4.0bpw

Gemma 4 E4B It Qat Exl3 4.0bpw Parameters and Internals

LLM Name	Gemma 4 E4B It Qat Exl3 4.0bpw
Repository 🤗	https://huggingface.co/cortexist/gemma-4-E4B-it-qat-exl3-4.0bpw
Base Model(s)	... 4 E4B It Qat Q4 0 Unquantized google/gemma-4-E4B-it-qat-q4_0-unquantized
Model Size	2.3b
Required VRAM	4.6 GB
Updated	2026-10-15
Maintainer	cortexist
Model Type	gemma4
Model Files	4.6 GB
Supported Languages	en
Quantization Type	q4\|q4_0
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.6.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B It Qat Exl3 4.0bpw 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 Exl3 4.0bpw

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4B It Qat 6bit	0K / 7.9 GB	121	1
Gemma 4 E4b It Nvfp4	0K / 5.2 GB	634	7