What are the hardware requirements for Gemma 4 E4B It Unsloth Bnb 4bit?

Gemma 4 E4B It Unsloth Bnb 4bit requires approximately 10.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B It Unsloth Bnb 4bit and how large is it?

Gemma 4 E4B It Unsloth Bnb 4bit is developed by unsloth, 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 Unsloth Bnb 4bit?

Gemma 4 E4B It Unsloth Bnb 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 It Unsloth Bnb 4bit by unsloth — VRAM 10.9GB

Name: Gemma 4 E4B It Unsloth Bnb 4bit
Author: unsloth

Gemma 4 E4B It Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 8b LLM, VRAM: 10.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

4-bit 4bit Base model:google/gemma-4-e4b-... Base model:quantized:google/ge... Bitsandbytes Conversational Gemma Gemma4 Google Image-text-to-text Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-4-E4B-it-unsloth-bnb-4bit

Gemma 4 E4B It Unsloth Bnb 4bit Parameters and Internals

LLM Name	Gemma 4 E4B It Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/gemma-4-E4B-it-unsloth-bnb-4bit
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	8b
Required VRAM	10.9 GB
Updated	2026-10-28
Maintainer	unsloth
Model Type	gemma4
Model Files	5.6 GB: 1-of-3 5.0 GB: 2-of-3 0.3 GB: 3-of-3
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Transformers Version	5.5.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma 4 E4B It Unsloth Bnb 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 It Unsloth Bnb 4bit

Model	Likes	Downloads	VRAM
Gemma E4B Repair New 8K	1	19	16 GB

Best Alternatives to Gemma 4 E4B It Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Gemma4 1 0 8 Sft 16bit Vllm	0K / 16 GB	29	0
Gemma E4B Mt B Split1	0K / 16 GB	154	0
Gemma E4B Repair New 8K	0K / 16 GB	19	1
Gemma 4 E4B Unsloth Bnb 4bit	0K / 11.6 GB	2961	2
...mma E4b Interview Orch Sft Aug	0K / 16 GB	45	0
...ma E4b It ModeltrainingCFT SFT	0K / 16 GB	115	0
...a 4 E4b It Unsloth Bnb 4bit Aj	0K / 16 GB	111	0
Gemma 4 E4B It	0K / 16 GB	4027807	1785
Gemma 4 E4B It	0K / 16 GB	229908	23
...e 4.6 Opus Reasoning Distilled	0K / 1 GB	1539	19

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