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

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

mradermacher Gemma GGUF multimodal second-order 131K ctx
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Response includes
  • classification m8
  • files 16
  • hub_downloads_all_time 3,219
  • 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.

What is a refusal direction? →
Downloads · lifetime
3K
2K last 30d - active
Likes
2
Model age
2mo ago
created 2026-07-20
Downloads over time
Now4.5K→from600↑654%
4041.9K3.4K4.9K600 on Jul 224.5K 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
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
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
69.7 GB
Files
16
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-07-20 14:35

Files by quantization

F16 2 files 14.8 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.f16.gguf 13.9 GB 24f0d29b download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.mmproj-f16.gguf 944 MB f84a4482 download
Q8_0 2 files 7.95 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q8_0.gguf 7.43 GB fcb81a9d download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.mmproj-Q8_0.gguf 534 MB 64422615 download
Q6_K 1 file 5.75 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q6_K.gguf 5.75 GB b5f3f349 download
Q5_K 2 files 10.6 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q5_K_M.gguf 5.33 GB dad51188 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q5_K_S.gguf 5.26 GB e6430c20 download
Q4_K 2 files 9.75 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q4_K_M.gguf 4.94 GB 5fa3f864 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q4_K_S.gguf 4.82 GB a565f9bb download
IQ4 1 file 4.71 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.IQ4_XS.gguf 4.71 GB 764392cc download
Q3_K 3 files 13.5 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q3_K_L.gguf 4.65 GB 6bf3af76 download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q3_K_M.gguf 4.49 GB cfd6f9be download
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q3_K_S.gguf 4.31 GB 28283844 download
Q2_K 1 file 4.08 GB
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS.Q2_K.gguf 4.08 GB b65e0746 download
Auxiliary files 2 files 8.12 KB
README.md 5.20 KB 17aed18e download
.gitattributes 2.92 KB 834d3c71 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

static 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.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS-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)

Link Type Size/GB Notes
GGUF mmproj-Q8_0 0.7 multi-modal supplement
GGUF mmproj-f16 1.1 multi-modal supplement
GGUF Q2_K 4.5
GGUF Q3_K_S 4.7
GGUF Q3_K_M 4.9 lower quality
GGUF Q3_K_L 5.1
GGUF IQ4_XS 5.2
GGUF Q4_K_S 5.3 fast, recommended
GGUF Q4_K_M 5.4 fast, recommended
GGUF Q5_K_S 5.7
GGUF Q5_K_M 5.8
GGUF Q6_K 6.3 very good quality
GGUF Q8_0 8.1 fast, best quality
GGUF f16 15.0 16 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.

README history 4 versions

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

  1. 2026-07-20auto-patch README.md44401ce5.2 KB
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  2. 2026-07-20auto-patch README.mdb6c30ac5.3 KB
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  3. 2026-07-20auto-patch README.md1e6caaa5.1 KB
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  4. 2026-07-20uploaded from nico10918077412 B
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