What are the hardware requirements for Gemma 4 E4B It OBLITERATED?

Gemma 4 E4B It OBLITERATED 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 OBLITERATED and how large is it?

Gemma 4 E4B It OBLITERATED is developed by OBLITERATUS, 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 OBLITERATED?

Gemma 4 E4B It OBLITERATED 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 OBLITERATED by OBLITERATUS — VRAM 16GB

Name: Gemma 4 E4B It OBLITERATED
Author: OBLITERATUS

Gemma 4 E4B It OBLITERATED is an open-source language model by OBLITERATUS. Features: 8b LLM, VRAM: 16GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.39.

Abliterated Base model:google/gemma-4-e4b-... Base model:quantized:google/ge... Conversational Endpoints compatible Gemma4 Gguf Obliteratus Q4 Quantized Refusal-removal Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED

Gemma 4 E4B It OBLITERATED Parameters and Internals

LLM Name	Gemma 4 E4B It OBLITERATED
Repository 🤗	https://huggingface.co/OBLITERATUS/gemma-4-E4B-it-OBLITERATED
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	8b
Required VRAM	16 GB
Updated	2026-07-15
Maintainer	OBLITERATUS
Model Type	gemma4
Model Files	5.3 GB 5.8 GB 8.0 GB 1.0 GB 2.0 GB: 1-of-7 2.0 GB: 2-of-7 2.0 GB: 3-of-7 2.0 GB: 4-of-7 5.6 GB: 5-of-7 2.0 GB: 6-of-7 0.4 GB: 7-of-7
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k\|q5_k
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B It OBLITERATED 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 OBLITERATED

Model	Likes	Downloads	VRAM
... 4 E4B It OBLITERATED Mlx 8Bit	4	2481	8 GB

Best Alternatives to Gemma 4 E4B It OBLITERATED

Best Alternatives	Context / RAM	Downloads	Likes
...e 4.6 Opus Reasoning Distilled	0K / 1 GB	1539	19
...emma 4 E4B It Unsloth Bnb 4bit	0K / 10.9 GB	536580	22
Gemma 4 E4B Unsloth Bnb 4bit	0K / 11.6 GB	4075	2
...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	6327995	1114
Gemma 4 E4B It	0K / 16 GB	229908	23
Gemma 4 E4B	0K / 16 GB	268109	386
Gemma 4 E4B It Fable Distill	0K / 16 GB	117	0
...a 4 E4B It DeepSeek V4 Distill	0K / 16 GB	54	1

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