mradermacher/Gemma4-12B-Uncensored-i1-GGUF overview

---

base_model: toandev/Gemma4-12B-Uncensored

language:

• en

library_name: transformers

license: gemma

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• gemma4
• gemma-4-12b
• uncensored
• multimodal
• image-text-to-text
• research

---

About

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weighted/imatrix quants of https://huggingface.co/toandev/Gemma4-12B-Uncensored

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For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Gemma4-12B-Uncensored-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's

READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for

more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

|:-----|:-----|--------:|:------|

| GGUF | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-Q2_K | 4.9 | IQ3_XXS probably better |

| GGUF | i1-IQ3_M | 5.8 | |

| GGUF | i1-Q4_K_S | 7.1 | optimal size/speed/quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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