What are the hardware requirements for Gemma 4 E2B It Safetensors Test?

Gemma 4 E2B It Safetensors Test requires approximately 10.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2B It Safetensors Test and how large is it?

Gemma 4 E2B It Safetensors Test is developed by mondk, 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 Safetensors Test?

Gemma 4 E2B It Safetensors Test 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 Safetensors Test by mondk — VRAM 10.3GB

Name: Gemma 4 E2B It Safetensors Test
Author: mondk

Gemma 4 E2B It Safetensors Test is an open-source language model by mondk. Features: 5.1b LLM, VRAM: 10.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

4bit Ar Base model:finetune:unsloth/ge... Base model:unsloth/gemma-4-e2b... Conversational Dataset:mondk/claude-v2-super.... De En Es Fr Gemma4 Hi Image-text-to-text It Ja Ko Pt Quantized Region:us Safetensors Sharded Tensorflow Th Vi

Model Card on HF 🤗: https://huggingface.co/mondk/gemma-4-E2B-it-safetensors-test

Gemma 4 E2B It Safetensors Test Parameters and Internals

LLM Name	Gemma 4 E2B It Safetensors Test
Repository 🤗	https://huggingface.co/mondk/gemma-4-E2B-it-safetensors-test
Model Name	unsloth/gemma-4-E2B-it-unsloth-bnb-4bit
Base Model(s)	...emma 4 E2B It Unsloth Bnb 4bit unsloth/gemma-4-E2B-it-unsloth-bnb-4bit
Model Size	5.1b
Required VRAM	10.3 GB
Updated	2026-08-13
Maintainer	mondk
Model Type	gemma4
Model Files	1.4 GB: 1-of-5 4.7 GB: 2-of-5 1.6 GB: 3-of-5 1.6 GB: 4-of-5 1.0 GB: 5-of-5
Supported Languages	en fr de es it pt ja ko vi th hi ar
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	float16

Rank the Gemma 4 E2B It Safetensors Test capabilities

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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 mondk/gemma-4-E2B-it-safetensors-test.