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: 0.41.

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 Benchmarks

LLME Score: 0.41261

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 E4B It OBLITERATED (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>

Quantized Models of the Gemma 4 E4B It OBLITERATED

Model	Likes	Downloads	VRAM
... 4 E4B It OBLITERATED Mlx 8Bit	4	2546	8 GB

Best Alternatives to Gemma 4 E4B It OBLITERATED

Best Alternatives	Context / RAM	Downloads	Likes
...emma 4 E4B It Unsloth Bnb 4bit	0K / 10.8 GB	293909	21
Gemma 4 E4B It	0K / 16 GB	6327995	1114
Gemma 4 E4B It	0K / 16 GB	229908	23
Gemma 4 E4b It Bf16	0K / 16 GB	2279	6
Gemma 4 E4B Luchador	0K / 16 GB	364	15
...ni 3.1 Pro Gemma 4 E4B Distill	0K / 16 GB	473	7

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

Rank the Gemma 4 E4B It OBLITERATED Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Gemma 4 E4B It OBLITERATED by OBLITERATUS