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mradermacher/Quill-v1-abliterated-i1-GGUF

mradermacher GGUF second-order 8K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 4,649
  • 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='Naphula/Quill-v1-abliterated' (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
5K
471 last 30d - stable
Likes
1
Model age
10mo ago
created 2025-12-08

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now4.7K→from2.5K↑86%
2.4K3.3K4.1K4.9K2.5K on Dec 10, 20254.7K on Oct 11Dec '25FebAprJunAugOct
Dec 10, 2025 → Oct 11 · 83 snapshots · spans 305 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 · 869 downloads combined

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

Metadata

License
gemma
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf creative creative-writing en dataset:sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo base_model:Naphula/Quill-v1-abliterated base_model:quantized:Naphula/Quill-v1-abliterated license:gemma endpoints_compatible region:us imatrix

Related

Total size
102 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-08 19:05

Files by quantization

Q6_K 1 file 7.07 GB
Quill-v1-abliterated.i1-Q6_K.gguf 7.07 GB 204732b2 download
Q5_K 2 files 12.2 GB
Quill-v1-abliterated.i1-Q5_K_M.gguf 6.19 GB 4674cf77 download
Quill-v1-abliterated.i1-Q5_K_S.gguf 6.04 GB f6ea97eb download
Q4 2 files 10.6 GB
Quill-v1-abliterated.i1-Q4_1.gguf 5.55 GB 484d0b07 download
Quill-v1-abliterated.i1-Q4_0.gguf 5.08 GB 16d5af73 download
Q4_K 2 files 10.5 GB
Quill-v1-abliterated.i1-Q4_K_M.gguf 5.37 GB 51a78c0f download
Quill-v1-abliterated.i1-Q4_K_S.gguf 5.10 GB c930b608 download
IQ4 2 files 9.90 GB
Quill-v1-abliterated.i1-IQ4_NL.gguf 5.07 GB 35c95b00 download
Quill-v1-abliterated.i1-IQ4_XS.gguf 4.83 GB de6b0bee download
Q3_K 3 files 13.3 GB
Quill-v1-abliterated.i1-Q3_K_L.gguf 4.78 GB 32d35291 download
Quill-v1-abliterated.i1-Q3_K_M.gguf 4.43 GB f9df6000 download
Quill-v1-abliterated.i1-Q3_K_S.gguf 4.04 GB fbef5aee download
IQ3 4 files 15.6 GB
Quill-v1-abliterated.i1-IQ3_M.gguf 4.19 GB c53a7c28 download
Quill-v1-abliterated.i1-IQ3_S.gguf 4.04 GB 0389b4d4 download
Quill-v1-abliterated.i1-IQ3_XS.gguf 3.86 GB f10f7aba download
Quill-v1-abliterated.i1-IQ3_XXS.gguf 3.54 GB d673ac86 download
Q2_K 2 files 6.85 GB
Quill-v1-abliterated.i1-Q2_K.gguf 3.54 GB d8cc9292 download
Quill-v1-abliterated.i1-Q2_K_S.gguf 3.31 GB 269dcec0 download
IQ2 4 files 11.7 GB
Quill-v1-abliterated.i1-IQ2_M.gguf 3.20 GB 79e33fe1 download
Quill-v1-abliterated.i1-IQ2_S.gguf 2.99 GB 6f356d61 download
Quill-v1-abliterated.i1-IQ2_XS.gguf 2.86 GB 7bca7260 download
Quill-v1-abliterated.i1-IQ2_XXS.gguf 2.63 GB 8315968b download
IQ1 2 files 4.59 GB
Quill-v1-abliterated.i1-IQ1_M.gguf 2.37 GB 6ee48291 download
Quill-v1-abliterated.i1-IQ1_S.gguf 2.22 GB 1e0fd1c2 download
Auxiliary files 3 files 5.88 MB
Quill-v1-abliterated.imatrix.gguf 5.87 MB 9d23f581 download
README.md 6.13 KB d0d7175a download
.gitattributes 3.23 KB 47b4b7ed download

README current version from Hugging Face


base_model: Naphula/Quill-v1-abliterated
datasets:

  • sam-paech/gutenberg3-generalfiction-scifi-fantasy-romance-adventure-dpo
    language:
  • en
    library_name: transformers
    license: gemma
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • creative
  • creative-writing

About

weighted/imatrix quants of https://huggingface.co/Naphula/Quill-v1-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Quill-v1-abliterated-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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 2.5 for the desperate
GGUF i1-IQ1_M 2.6 mostly desperate
GGUF i1-IQ2_XXS 2.9
GGUF i1-IQ2_XS 3.2
GGUF i1-IQ2_S 3.3
GGUF i1-IQ2_M 3.5
GGUF i1-Q2_K_S 3.7 very low quality
GGUF i1-IQ3_XXS 3.9 lower quality
GGUF i1-Q2_K 3.9 IQ3_XXS probably better
GGUF i1-IQ3_XS 4.2
GGUF i1-IQ3_S 4.4 beats Q3_K*
GGUF i1-Q3_K_S 4.4 IQ3_XS probably better
GGUF i1-IQ3_M 4.6
GGUF i1-Q3_K_M 4.9 IQ3_S probably better
GGUF i1-Q3_K_L 5.2 IQ3_M probably better
GGUF i1-IQ4_XS 5.3
GGUF i1-IQ4_NL 5.5 prefer IQ4_XS
GGUF i1-Q4_0 5.6 fast, low quality
GGUF i1-Q4_K_S 5.6 optimal size/speed/quality
GGUF i1-Q4_K_M 5.9 fast, recommended
GGUF i1-Q4_1 6.1
GGUF i1-Q5_K_S 6.6
GGUF i1-Q5_K_M 6.7
GGUF i1-Q6_K 7.7 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 3 versions

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

  1. 2025-12-08auto-patch README.md6658b1f6.1 KB
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  2. 2025-12-08auto-patch README.md955a40d2.5 KB
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  3. 2025-12-08uploaded from rich18aa02a7474 B
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