What are the hardware requirements for Gemma 4 E4B Nightcap?

Gemma 4 E4B Nightcap requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B Nightcap and how large is it?

Gemma 4 E4B Nightcap is developed by andyoneal, 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 Nightcap?

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

Gemma 4 E4B Nightcap by andyoneal — VRAM 16GB

Name: Gemma 4 E4B Nightcap
Author: andyoneal

Gemma 4 E4B Nightcap is an open-source language model by andyoneal. Features: 8b LLM, VRAM: 16GB, License: gemma, LLM Explorer Score: 0.25.

Arxiv:2212.04089 Base model:auriaetherwiing/g4-... Base model:google/gemma-4-e4b-... Base model:juiceb0xc0de/bella-... Base model:merge:auriaetherwii... Base model:merge:google/gemma-... Base model:merge:juiceb0xc0de/... Base model:merge:toastypigeon/... Base model:toastypigeon/gemma4... Conversational Creative-writing E4b En Endpoints compatible Gemma-4 Gemma4 Image-text-to-text Measured with calipers not vib... Merge One build no regrets Region:us Roleplay Safetensors Task-arithmetic

Model Card on HF 🤗: https://huggingface.co/andyoneal/Gemma-4-E4B-Nightcap

Gemma 4 E4B Nightcap Parameters and Internals

LLM Name	Gemma 4 E4B Nightcap
Repository 🤗	https://huggingface.co/andyoneal/Gemma-4-E4B-Nightcap
Base Model(s)	Gemma 4 E4B It AuriAetherwiing/G4-E4B-Musica-v1 ToastyPigeon/Gemma4-E4B-TIES-3mask-r64 Bella Bartender Gemma E4b google/gemma-4-E4B-it AuriAetherwiing/G4-E4B-Musica-v1 ToastyPigeon/Gemma4-E4B-TIES-3mask-r64 juiceb0xc0de/bella-bartender-gemma-e4b
Model Size	8b
Required VRAM	16 GB
Updated	2026-10-22
Maintainer	andyoneal
Model Type	gemma4
Model Files	16.0 GB
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B Nightcap 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 Nightcap

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4B It	0K / 16 GB	6327995	1114
Gemma 4 E4B It	0K / 16 GB	229908	23
Gemma 4 E4B	0K / 16 GB	268109	386
Lite OmniJev	0K / 32.1 GB	184	1
Vishwamai Stage1	0K / 16 GB	472	0
Linne Sprout 1 0	0K / 16 GB	35	1
Gemma 4 E4B It FP8 Dynamic	0K / 12 GB	31	1
Gemma4 E4B 8B Heretic Ultra	0K / 16 GB	98	0
Gemma E4B Mt B Split3	0K / 16 GB	98	0
Vishwamai Merged Gemma	0K / 16 GB	45	0

Note: green Score (e.g. "73.2") means that the model is better than andyoneal/Gemma-4-E4B-Nightcap.