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Gemma 4 E4B Uncensored GGUF

basemodel: Felldude/gemma-4-E4B-uncensored language: en libraryname: transformers license: apache-2.0 licenselink: mradermacher: readmerev: 1 quantizedby: mradermacher

Sourcehuggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/tree/e6fa158ac48d5b3888e353ceb15d94bb60639740
KindOtherBase modelFelldude/gemma-4-E4B-uncensoredVersionPublisher@mradermacherCgrade

Model source

Kind
Other
File size
13.9 GB
Base model
Felldude/gemma-4-E4B-uncensored
Version
vgemma-4-E4B-uncensored.f16
Updated
Oct 10, 2026
Publisher
@mradermacher
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/Felldude/gemma-4-E4B-uncensored

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-i1-GGUF

Usage

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

LinkTypeSize/GBNotes
GGUFmmproj-Q8_00.7multi-modal supplement
GGUFmmproj-f161.1multi-modal supplement
GGUFQ2_K4.5
GGUFQ3_K_S4.7
GGUFQ3_K_M4.9lower quality
GGUFQ3_K_L5.1
GGUFIQ4_XS5.2
GGUFQ4_K_S5.3fast, recommended
GGUFQ4_K_M5.4fast, recommended
GGUFQ5_K_S5.7
GGUFQ5_K_M5.8
GGUFQ6_K6.3very good quality
GGUFQ8_08.1fast, best quality
GGUFf1615.016 bpw, overkill

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.

Sources

1 source
Hugging FacePrimaryVersion e6fa158ac48d5b3888e353ceb15d94bb60639740
huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/tree/e6fa158ac48d5b3888e353ceb15d94bb60639740

Verified Sep 14

Model artifacts

1 artifact

gemma-4-E4B-uncensored.f16.gguf

gguf · 13.9 GB · SHA-256 d13f794db7c8…4cd9 · Hugging Face

Download

Source excerpts

3 excerpts
ReadmeJul 11huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF

--- base_model: Felldude/gemma-4-E4B-uncensored language: - en library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/Felldude/gemma-4-E4B-uncensored <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#gemma-4-E4B-uncensored-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-i1-GGUF ## 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](https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/resolve/main/gemma-4-E4B-uncensored.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/resolve/main/gemma-4-E4B-uncensored.mmproj-f16.gguf) | mmproj-f16 | 1.1 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/resolve/main/gemma-4-E4B-uncensored.Q2_K.gguf) | Q2_K | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/resolve/main/gemma-4-E4B-uncensored.Q3_K_S.gguf) | Q3_K_S | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/resolve/main/gemma-4-E4B-uncensored.Q3_K_M.gguf) | Q3_K_M | 4.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/resolve/main/gemma-4-E4B-uncensored.Q3_K_L.gguf) | Q3_K_L | 5.1 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF/resolve/main/gemma-4-E4B-uncensored.IQ4_XS.gguf) | IQ4_XS | 5.2 | | | [GGUF](https://huggingface.co...

NoteSep 14huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF

Source context: 642 downloads · 2 likes · Library transformers · Repo mradermacher/gemma-4-E4B-uncensored-GGUF

NoteJul 17huggingface.co/mradermacher/gemma-4-E4B-uncensored-GGUF

Source context: 2898 downloads · 1 likes · Library transformers · Repo mradermacher/gemma-4-E4B-uncensored-GGUF