What are the hardware requirements for Gemma 4 E4B It Fable Distill?

Gemma 4 E4B It Fable Distill 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 It Fable Distill and how large is it?

Gemma 4 E4B It Fable Distill is developed by armand0e, 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 Fable Distill?

Gemma 4 E4B It Fable Distill 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 Fable Distill by armand0e — VRAM 16GB

Name: Gemma 4 E4B It Fable Distill
Author: armand0e

Gemma 4 E4B It Fable Distill is an open-source language model by armand0e. Features: 8b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:unsloth/ge... Base model:unsloth/gemma-4-e4b... Conversational En Endpoints compatible Gemma4 Image-text-to-text Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/armand0e/Gemma-4-E4B-it-Fable-Distill

Gemma 4 E4B It Fable Distill Parameters and Internals

LLM Name	Gemma 4 E4B It Fable Distill
Repository 🤗	https://huggingface.co/armand0e/Gemma-4-E4B-it-Fable-Distill
Model Name	unsloth/gemma-4-E4B-it
Base Model(s)	Gemma 4 E4B It unsloth/gemma-4-E4B-it
Model Size	8b
Required VRAM	16 GB
Updated	2026-08-23
Maintainer	armand0e
Model Type	gemma4
Model Files	16.0 GB
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma 4 E4B It Fable Distill 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 armand0e/Gemma-4-E4B-it-Fable-Distill.