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Gemma4 12B IT Abliterated by DuoNeural

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Gemma4 12B IT Abliterated is an open-source language model by DuoNeural. Features: 12b LLM, VRAM: 24GB, License: apache-2.0, LLM Explorer Score: 0.27.

  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 Benchmarks

LLME Score: 0.26853
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma4 12B IT Abliterated (DuoNeural/Gemma4-12B-IT-Abliterated)
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Gemma4 12B IT Abliterated Parameters and Internals

LLM NameGemma4 12B IT Abliterated
Repository 🤗https://huggingface.co/DuoNeural/Gemma4-12B-IT-Abliterated 
Base Model(s)  google/gemma-4-12B-it   google/gemma-4-12B-it
Model Size12b
Required VRAM24 GB
Updated2026-07-04
MaintainerDuoNeural
Model Typegemma4_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 Languagesen
Model ArchitectureGemma4UnifiedForConditionalGeneration
Licenseapache-2.0
Model Max Length131072
Transformers Version5.10.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>

Best Alternatives to Gemma4 12B IT Abliterated

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...le5 Composer2.5 V1 Abliterated0K / 24 GB158680
Gemma 4 12B It Bf160K / 23.9 GB46575
Gemma 4 12B It0K / 23.9 GB10738
...r Fable5 Composer2.5 V1 Sft V50K / 23.9 GB1280
...r Fable5 Composer2.5 V1 Sft V40K / 23.9 GB1060
Gemma 4 12B StyleTune0K / 25.9 GB217
...le5 Composer2.5 V1 Sft V5 Grpo0K / 23.9 GB210
Gemma 4 12B It OptiQ 4bit0K / 8.8 GB1944131
Gemma 4 12B It 4bit0K / 10.9 GB3130012
Gemma 4 12B It Qat OptiQ 4bit0K / 8.9 GB54805
Note: green Score (e.g. "73.2") means that the model is better than DuoNeural/Gemma4-12B-IT-Abliterated.

Rank the Gemma4 12B IT Abliterated 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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