What are the hardware requirements for Gemma4 E2B It Qat Q4 Unsloth Heretic?

Gemma4 E2B It Qat Q4 Unsloth Heretic requires approximately 10.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma4 E2B It Qat Q4 Unsloth Heretic and how large is it?

Gemma4 E2B It Qat Q4 Unsloth Heretic is developed by MobiusDevelopment, 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 Gemma4 E2B It Qat Q4 Unsloth Heretic?

Gemma4 E2B It Qat Q4 Unsloth Heretic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma4 E2B It Qat Q4 Unsloth Heretic by MobiusDevelopment — VRAM 10.2GB

Name: Gemma4 E2B It Qat Q4 Unsloth Heretic
Author: MobiusDevelopment

Gemma4 E2B It Qat Q4 Unsloth Heretic is an open-source language model by MobiusDevelopment. Features: 5.1b LLM, VRAM: 10.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

Abliterated Base model:finetune:unsloth/ge... Base model:unsloth/gemma-4-e2b... Conversational Decensored Endpoints compatible Gemma Gemma4 Gguf Heretic Image-text-to-text Q4 Q4 0 Quantized Region:us Safetensors Sharded Tensorflow Uncensored Unsloth

Model Card on HF 🤗: https://huggingface.co/MobiusDevelopment/gemma4-E2B-it-qat-Q4-unsloth-heretic

Gemma4 E2B It Qat Q4 Unsloth Heretic Parameters and Internals

LLM Name	Gemma4 E2B It Qat Q4 Unsloth Heretic
Repository 🤗	https://huggingface.co/MobiusDevelopment/gemma4-E2B-it-qat-Q4-unsloth-heretic
Base Model(s)	... 4 E2B It Qat Q4 0 Unquantized unsloth/gemma-4-E2B-it-qat-q4_0-unquantized
Model Size	5.1b
Required VRAM	10.2 GB
Updated	2026-11-03
Maintainer	MobiusDevelopment
Model Type	gemma4
Model Files	7.2 GB 3.4 GB 1.0 GB 1.4 GB: 1-of-3 5.0 GB: 2-of-3 3.8 GB: 3-of-3
GGUF Quantization	Yes
Quantization Type	q4\|q4_0\|gguf\|q4_k
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.12.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma4 E2B It Qat Q4 Unsloth Heretic 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 Gemma4 E2B It Qat Q4 Unsloth Heretic

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Vi Humanizer Gemma 4 E2b	0K / 3.4 GB	699	2
Dama Aibrain	0K / 10.3 GB	130	1
Dama Aibrain	0K / 10.3 GB	89	1
Gemma 4 E2B Alignment Study	0K / 9.3 GB	565	3
...emma 4 E2B It Unsloth Bnb 4bit	0K / 8.1 GB	81870	11
... 4 E2B It Qat Q4 0 Unquantized	0K / 10.2 GB	13412	32
... 4 E2B It Qat Q4 0 Unquantized	0K / 10.2 GB	3007	4
Sdam Gemma4 E2B Merged Bf16	0K / 10.2 GB	424	1
Gemma4 Spiritual V5 Merged	0K / 10.3 GB	48	1
...emma4 Utilitarianism V1 Merged	0K / 10.3 GB	46	1

Note: green Score (e.g. "73.2") means that the model is better than MobiusDevelopment/gemma4-E2B-it-qat-Q4-unsloth-heretic.