What are the hardware requirements for Gemma4 12B IT Abliterated?

Gemma4 12B IT Abliterated requires approximately 24 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma4 12B IT Abliterated and how large is it?

Gemma4 12B IT Abliterated is developed by DuoNeural, a model with 12b 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 12B IT Abliterated?

Gemma4 12B IT Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma4 12B IT Abliterated by DuoNeural — VRAM 24GB

Name: Gemma4 12B IT Abliterated
Author: DuoNeural

Gemma4 12B IT Abliterated is an open-source language model by DuoNeural. Features: 12b LLM, VRAM: 24GB, License: apache-2.0, LLM Explorer Score: 0.24.

Abliteration Base model:finetune:google/gem... Base model:google/gemma-4-12b-... Conversational Duoneural En Gemma Gemma4 Gemma4 unified Multimodal Orthogonal-projection Refusal-removal Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/DuoNeural/Gemma4-12B-IT-Abliterated

Gemma4 12B IT Abliterated Parameters and Internals

LLM Name	Gemma4 12B IT Abliterated
Repository 🤗	https://huggingface.co/DuoNeural/Gemma4-12B-IT-Abliterated
Base Model(s)	Gemma 4 12B It google/gemma-4-12B-it
Model Size	12b
Required VRAM	24 GB
Updated	2026-08-05
Maintainer	DuoNeural
Model Type	gemma4_unified
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 5.0 GB: 4-of-5 4.1 GB: 5-of-5
Supported Languages	en
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Transformers Version	5.10.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma4 12B IT Abliterated 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 12B IT Abliterated

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Gemma 4 12B It	0K / 23.9 GB	2965396	1417
Gemma 4 12B	0K / 23.9 GB	69628	816
...able5 Composer2.5 V2.3.5x Tau2	0K / 23.9 GB	242415	87
Jev Omni	0K / 23.9 GB	0	223
Gemma 4 12B It	0K / 23.9 GB	146843	15
Gemma 4 12B It NVFP4	0K / 9.3 GB	47579	20
Luna Gemma 12B Merged	0K / 10.4 GB	378	0
...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
Smaug Humanizer	0K / 23.9 GB	285	4
Basal Omni 1.0 Max	0K / 23.9 GB	1098	3

Note: green Score (e.g. "73.2") means that the model is better than DuoNeural/Gemma4-12B-IT-Abliterated.