What are the hardware requirements for Gemma 4 E2B It GGUF?

Gemma 4 E2B It GGUF requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Gemma 4 E2B It GGUF is developed by unsloth. 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 GGUF?

Gemma 4 E2B It GGUF 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 GGUF by unsloth — VRAM 0.1GB

Name: Gemma 4 E2B It GGUF
Author: unsloth

Gemma 4 E2B It GGUF is an open-source language model by unsloth. Features: LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.38.

Base model:google/gemma-4-e2b-... Base model:quantized:google/ge... Conversational Endpoints compatible Gemma Gemma4 Gguf Google Image-text-to-text Q3 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF

Gemma 4 E2B It GGUF Parameters and Internals

LLM Name	Gemma 4 E2B It GGUF
Repository 🤗	https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF
Base Model(s)	Gemma 4 E2B It google/gemma-4-E2B-it
Required VRAM	0.1 GB
Updated	2026-07-13
Maintainer	unsloth
Model Type	gemma4
Model Files	9.3 GB 3.0 GB 3.0 GB 2.5 GB 2.5 GB 3.0 GB 3.1 GB 3.1 GB 3.0 GB 3.4 GB 3.3 GB 4.5 GB 5.0 GB 2.3 GB 2.4 GB 2.4 GB 2.9 GB 3.2 GB 4.3 GB 4.7 GB 5.3 GB 1.0 GB 1.0 GB 1.9 GB 0.1 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q3\|q4_k\|q5_k
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Torch Data Type	bfloat16

Rank the Gemma 4 E2B It GGUF 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 E2B It GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4B It GGUF	0K / 1 GB	510433	566
Lemer	0K / 3.2 GB	292	2
...s Reasoning GeminiCLI Mlx 4bit	0K / 11 GB	156680	31
OTel LLM E4B IT	0K / 31.5 GB	4677244	0
Sulphur Caption	0K / GB	47	4

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-4-E2B-it-GGUF.