← back to catalog · registered 2026-08-22 13:56

mradermacher/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS-i1-GGUF

mradermacher Gemma GGUF multimodal second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 11,094
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='KridgeDookie/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS' (base has 'abliterated' marker, assume M1 default)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
11K
6K last 30d - stable
Likes
6
Model age
2mo ago
created 2026-07-20
Downloads over time
Now11.9K→from802↑1,386%
2464.5K8.8K13K802 on Jul 2211.9K on Oct 11JulAugSepOct
Jul 22 → Oct 11 · 52 snapshots · spans 81 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 7K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf gemma4 obliteratus abliterated uncensored multimodal safetensors bfloat16 refusal-reduction en base_model:KridgeDookie/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS

Related

Total size
103 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-20 14:36

Files by quantization

Q6_K 1 file 5.75 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q6_K.gguf 5.75 GB efa1619c download
Q5_K 2 files 10.6 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q5_K_M.gguf 5.33 GB 484518fd download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q5_K_S.gguf 5.26 GB 51a01f79 download
Q4 2 files 9.84 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q4_1.gguf 5.03 GB cff4db82 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q4_0.gguf 4.81 GB 0cfb19bb download
Q4_K 2 files 9.75 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q4_K_M.gguf 4.94 GB a00847b1 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q4_K_S.gguf 4.82 GB 6879f44c download
IQ4 2 files 9.50 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ4_NL.gguf 4.81 GB b3ba9f5e download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ4_XS.gguf 4.69 GB dc8f04e3 download
Q3_K 3 files 13.5 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q3_K_L.gguf 4.65 GB 7c79990b download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q3_K_M.gguf 4.49 GB cc6a67dc download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q3_K_S.gguf 4.31 GB aa82806f download
IQ3 4 files 16.6 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ3_M.gguf 4.37 GB 2967de61 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ3_S.gguf 4.32 GB b5282a35 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ3_XS.gguf 4.23 GB 005fa51f download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ3_XXS.gguf 3.71 GB a921580b download
Q2_K 2 files 8.05 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q2_K.gguf 4.08 GB 3345030b download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-Q2_K_S.gguf 3.98 GB cf7ab6af download
IQ2 4 files 13.6 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ2_M.gguf 3.53 GB 27988bb2 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ2_S.gguf 3.42 GB 108ea6f1 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ2_XS.gguf 3.38 GB 2abc780a download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ2_XXS.gguf 3.27 GB 7190becc download
IQ1 2 files 6.20 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ1_M.gguf 3.14 GB 096ec622 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.i1-IQ1_S.gguf 3.06 GB ad953d86 download
Auxiliary files 3 files 4.24 MB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.imatrix.gguf 4.22 MB 9b4213f3 download
README.md 8.30 KB 26ef93d5 download
.gitattributes 4.11 KB 359daa2a download

README current version from Hugging Face


base_model: KridgeDookie/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS
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
    tags:
  • gemma4
  • obliteratus
  • abliterated
  • uncensored
  • multimodal
  • transformers
  • safetensors
  • bfloat16
  • refusal-reduction

About

weighted/imatrix quants of https://huggingface.co/KridgeDookie/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS

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

static quants are available at https://huggingface.co/mradermacher/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS-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
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-IQ1_S 3.4 for the desperate
GGUF i1-IQ1_M 3.5 mostly desperate
GGUF i1-IQ2_XXS 3.6
GGUF i1-IQ2_XS 3.7
GGUF i1-IQ2_S 3.8
GGUF i1-IQ2_M 3.9
GGUF i1-IQ3_XXS 4.1 lower quality
GGUF i1-Q2_K_S 4.4 very low quality
GGUF i1-Q2_K 4.5 IQ3_XXS probably better
GGUF i1-IQ3_XS 4.6
GGUF i1-Q3_K_S 4.7 IQ3_XS probably better
GGUF i1-IQ3_S 4.7 beats Q3_K*
GGUF i1-IQ3_M 4.8
GGUF i1-Q3_K_M 4.9 IQ3_S probably better
GGUF i1-Q3_K_L 5.1 IQ3_M probably better
GGUF i1-IQ4_XS 5.1
GGUF i1-IQ4_NL 5.3 prefer IQ4_XS
GGUF i1-Q4_0 5.3 fast, low quality
GGUF i1-Q4_K_S 5.3 optimal size/speed/quality
GGUF i1-Q4_K_M 5.4 fast, recommended
GGUF i1-Q4_1 5.5
GGUF i1-Q5_K_S 5.7
GGUF i1-Q5_K_M 5.8
GGUF i1-Q6_K 6.3 practically like static Q6_K

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.

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-07-20auto-patch README.md1d3298f8.3 KB
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  2. 2026-07-20uploaded from nico1c0651a2515 B
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