What are the hardware requirements for Gemma 4 12B It Qat Q4 0 Unquantized Heretic?

Gemma 4 12B It Qat Q4 0 Unquantized Heretic requires approximately 24 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B It Qat Q4 0 Unquantized Heretic and how large is it?

Gemma 4 12B It Qat Q4 0 Unquantized Heretic is developed by wnfldchen, 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 4 12B It Qat Q4 0 Unquantized Heretic?

Gemma 4 12B It Qat Q4 0 Unquantized Heretic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 12B It Qat Q4 0 Unquantized Heretic by wnfldchen — VRAM 24GB

Name: Gemma 4 12B It Qat Q4 0 Unquantized Heretic
Author: wnfldchen

Gemma 4 12B It Qat Q4 0 Unquantized Heretic is an open-source language model by wnfldchen. Features: 12b LLM, VRAM: 24GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

Arxiv:2607.02770 Abliterated Any-to-any Ara Base model:finetune:google/gem... Base model:google/gemma-4-12b-... Decensored Endpoints compatible Gemma4 unified Heretic Image-text-to-text Model-index Q4 Q4 0 Quantized Region:us Reproducible Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/wnfldchen/gemma-4-12B-it-qat-q4_0-unquantized-heretic

Gemma 4 12B It Qat Q4 0 Unquantized Heretic Parameters and Internals

LLM Name	Gemma 4 12B It Qat Q4 0 Unquantized Heretic
Repository 🤗	https://huggingface.co/wnfldchen/gemma-4-12B-it-qat-q4_0-unquantized-heretic
Base Model(s)	... 4 12B It Qat Q4 0 Unquantized google/gemma-4-12B-it-qat-q4_0-unquantized
Model Size	12b
Required VRAM	24 GB
Updated	2026-09-21
Maintainer	wnfldchen
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
Quantization Type	q4\|q4_0
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.14.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 12B It Qat Q4 0 Unquantized Heretic 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 Gemma 4 12B It Qat Q4 0 Unquantized Heretic

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It Qat W4a16 Ct	0K / 10.3 GB	1564845	56
... 4 12B It Qat Q4 0 Unquantized	0K / 23.9 GB	531981	73
Gemma 4 12B It Qat 4bit	0K / 10.9 GB	16338	25
... Coder Fable5 Composer2.5 8bit	0K / 12.6 GB	8917	35
... Coder Fable5 Composer2.5 4bit	0K / 6.7 GB	8111	38
Gemma 4 12B It OptiQ 4bit	0K / 8.8 GB	9438	41
Gemma 4 12B It 8bit	0K / 12.7 GB	5702	41
Jev Omni MLX 4bit	0K / 0.4 GB	336	1
Gemma 4 12B It 4bit	0K / 10.9 GB	7953	15
Gemma 4 12B It Qat OptiQ 4bit	0K / 8.9 GB	5018	11

Note: green Score (e.g. "73.2") means that the model is better than wnfldchen/gemma-4-12B-it-qat-q4_0-unquantized-heretic.