What are the hardware requirements for Gemma 3 12B It Qat Abliterated?

Gemma 3 12B It Qat Abliterated requires approximately 47.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 3 12B It Qat Abliterated and how large is it?

Gemma 3 12B It Qat Abliterated is developed by mlabonne, 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 Gemma 3 12B It Qat Abliterated?

Gemma 3 12B It Qat Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 12B It Qat Abliterated by mlabonne — VRAM 47.2GB, 128K context

Name: Gemma 3 12B It Qat Abliterated
Author: mlabonne

Gemma 3 12B It Qat Abliterated is an open-source language model by mlabonne. Features: 12b LLM, VRAM: 47.2GB, Context: 128K, License: gemma, Quantized, LLM Explorer Score: 0.18.

Base model:finetune:google/gem... Base model:google/gemma-3-12b-... Conversational Endpoints compatible Gemma3 text Image-text-to-text Q4 Q4 0 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlabonne/gemma-3-12b-it-qat-abliterated

Gemma 3 12B It Qat Abliterated Parameters and Internals

LLM Name	Gemma 3 12B It Qat Abliterated
Repository 🤗	https://huggingface.co/mlabonne/gemma-3-12b-it-qat-abliterated
Base Model(s)	... 3 12B It Qat Q4 0 Unquantized google/gemma-3-12b-it-qat-q4_0-unquantized
Model Size	12b
Required VRAM	47.2 GB
Updated	2026-07-01
Maintainer	mlabonne
Model Type	gemma3_text
Model Files	5.0 GB: 1-of-10 4.8 GB: 2-of-10 5.0 GB: 3-of-10 4.9 GB: 4-of-10 5.0 GB: 5-of-10 4.9 GB: 6-of-10 5.0 GB: 7-of-10 4.9 GB: 8-of-10 5.0 GB: 9-of-10 2.7 GB: 10-of-10
Quantization Type	q4\|q4_0
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262208
Torch Data Type	float32

Rank the Gemma 3 12B It Qat 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

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... 12B Instruct 2608 V1 Mlx 6Bit	128K / 9.6 GB	225	1
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YanoljaNEXT Rosetta 12B 2510	128K / 25.4 GB	953	29
Typhoon2.1 Gemma3 12B	128K / 23.4 GB	1610	18
Nile Chat 12B	128K / 23.4 GB	657	14
Gemma 3 12B It Abliterated V2	128K / 47.2 GB	487	24
Typhoon2.1 Gemma3 12B	128K / 23.4 GB	677	19

Note: green Score (e.g. "73.2") means that the model is better than mlabonne/gemma-3-12b-it-qat-abliterated.