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mradermacher/Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp-GGUF

mradermacher Gemma 9B GGUF second-order 8K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 3,323
  • 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='Mantis2024/Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp' (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
3K
409 last 30d - stable
Likes
1
Model age
19mo ago
created 2025-03-11
Downloads over time
Now3.4K→from87↑3,817%
01.2K2.5K3.7K87 on Mar 5, 20253.4K on Oct 113.4K on Oct 10Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 5, 2025 → Oct 11 · 123 snapshots · spans 585 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.

Metadata

Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf mergekit merge en endpoints_compatible region:us conversational

Related

Total size
77.8 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-03-11 01:12

Files by quantization

F16 1 file 17.2 GB
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.f16.gguf 17.2 GB a3a29fbd download
Q8_0 1 file 9.15 GB
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q8_0.gguf 9.15 GB 8527e546 download
Q6_K 1 file 7.07 GB
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q6_K.gguf 7.07 GB 30013983 download
Q5_K 2 files 12.2 GB
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q5_K_M.gguf 6.19 GB 69f793e8 download
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q5_K_S.gguf 6.04 GB 86db733d download
Q4_K 2 files 10.5 GB
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q4_K_M.gguf 5.37 GB aa358461 download
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q4_K_S.gguf 5.10 GB 9f76de6c download
IQ4 1 file 4.86 GB
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.IQ4_XS.gguf 4.86 GB 69de5823 download
Q3_K 3 files 13.3 GB
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q3_K_L.gguf 4.78 GB 4e1a3832 download
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q3_K_M.gguf 4.43 GB 57599ec6 download
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q3_K_S.gguf 4.04 GB 19d66dfd download
Q2_K 1 file 3.54 GB
Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp.Q2_K.gguf 3.54 GB 3b336d49 download
Auxiliary files 2 files 7.01 KB
README.md 4.30 KB f82f2422 download
.gitattributes 2.72 KB b57a68f5 download

README current version from Hugging Face


base_model: Mantis2024/Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp
language:

  • en
    library_name: transformers
    quantized_by: mradermacher
    tags:
  • mergekit
  • merge

About

static quants of https://huggingface.co/Mantis2024/Dirty-Shirley-Quill-v1-gemma-2-Ifable-9B-Uncensored-slerp

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 3.9
GGUF Q3_K_S 4.4
GGUF Q3_K_M 4.9 lower quality
GGUF Q3_K_L 5.2
GGUF IQ4_XS 5.3
GGUF Q4_K_S 5.6 fast, recommended
GGUF Q4_K_M 5.9 fast, recommended
GGUF Q5_K_S 6.6
GGUF Q5_K_M 6.7
GGUF Q6_K 7.7 very good quality
GGUF Q8_0 9.9 fast, best quality
GGUF f16 18.6 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 3 versions

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

  1. 2025-03-11auto-patch README.mdef77c8b4.3 KB
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  2. 2025-03-11auto-patch README.md85a5fdf3.9 KB
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  3. 2025-03-11uploaded from rich1127f2a3258 B
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