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mradermacher/Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored-i1-GGUF

mradermacher Gemma 10B GGUF second-order 8K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 13,112
  • author_summary 3328 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='DavidAU/Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored' (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
13K
718 last 30d - cooling
Likes
3
Model age
21mo ago
created 2024-12-26
Downloads over time
Now13.3K→from589↑2,152%
04.8K9.7K14.5K589 on Dec 25, 202413.3K on Oct 12Dec '24Mar '25Jun '25Sep '25Dec '25MarJunSep
Dec 25, 2024 → Oct 12 · 134 snapshots · spans 656 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 · 984 downloads combined

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

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf mergekit merge gemma2 en endpoints_compatible region:us imatrix conversational

Related

Total size
110 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-05-28 23:25

Files by quantization

Q6_K 1 file 7.67 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q6_K.gguf 7.67 GB 43dfb7e8 download
Q5_K 2 files 13.3 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q5_K_M.gguf 6.71 GB 1a6a9f2c download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q5_K_S.gguf 6.55 GB b4c6364b download
Q4 2 files 11.5 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q4_1.gguf 6.02 GB e215c83d download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q4_0.gguf 5.50 GB 8b70cf52 download
Q4_K 2 files 11.3 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q4_K_M.gguf 5.80 GB 2638a220 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q4_K_S.gguf 5.52 GB 673fe811 download
IQ4 2 files 10.7 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ4_NL.gguf 5.48 GB 637b8b8d download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ4_XS.gguf 5.22 GB e6cef36c download
Q3_K 3 files 14.3 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q3_K_L.gguf 5.17 GB 0cca7d44 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q3_K_M.gguf 4.79 GB 2f8a5bc8 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q3_K_S.gguf 4.36 GB 65269341 download
IQ3 4 files 16.8 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ3_M.gguf 4.51 GB 23c98f93 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ3_S.gguf 4.36 GB 075e0353 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ3_XS.gguf 4.16 GB 1d807fef download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ3_XXS.gguf 3.82 GB c996d10c download
Q2_K 2 files 7.37 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q2_K.gguf 3.81 GB b8b48e57 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-Q2_K_S.gguf 3.55 GB 8adc0bdc download
IQ2 4 files 12.6 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ2_M.gguf 3.44 GB 7d1d69cd download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ2_S.gguf 3.22 GB 658df392 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ2_XS.gguf 3.07 GB 974db650 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ2_XXS.gguf 2.82 GB f437d965 download
IQ1 2 files 4.90 GB
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ1_M.gguf 2.54 GB 6a1443e3 download
Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored.i1-IQ1_S.gguf 2.37 GB 1976d52e download
Auxiliary files 3 files 6.40 MB
imatrix.dat 6.39 MB 29b40cc7 download
README.md 7.54 KB 082d4698 download
.gitattributes 4.19 KB b0f77194 download

README current version from Hugging Face


base_model: DavidAU/Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored
language:

  • en
    library_name: transformers
    quantized_by: mradermacher
    tags:
  • mergekit
  • merge
  • gemma2

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored

static quants are available at https://huggingface.co/mradermacher/Gemma-The-Writer-N-Restless-Quill-V2-Enhanced32-10B-Uncensored-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 i1-IQ1_S 2.6 for the desperate
GGUF i1-IQ1_M 2.8 mostly desperate
GGUF i1-IQ2_XXS 3.1
GGUF i1-IQ2_XS 3.4
GGUF i1-IQ2_S 3.6
GGUF i1-IQ2_M 3.8
GGUF i1-Q2_K_S 3.9 very low quality
GGUF i1-Q2_K 4.2 IQ3_XXS probably better
GGUF i1-IQ3_XXS 4.2 lower quality
GGUF i1-IQ3_XS 4.6
GGUF i1-IQ3_S 4.8 beats Q3_K*
GGUF i1-Q3_K_S 4.8 IQ3_XS probably better
GGUF i1-IQ3_M 4.9
GGUF i1-Q3_K_M 5.2 IQ3_S probably better
GGUF i1-Q3_K_L 5.6 IQ3_M probably better
GGUF i1-IQ4_XS 5.7
GGUF i1-IQ4_NL 6.0 prefer IQ4_XS
GGUF i1-Q4_0 6.0 fast, low quality
GGUF i1-Q4_K_S 6.0 optimal size/speed/quality
GGUF i1-Q4_K_M 6.3 fast, recommended
GGUF i1-Q4_1 6.6
GGUF i1-Q5_K_S 7.1
GGUF i1-Q5_K_M 7.3
GGUF i1-Q6_K 8.3 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 3 versions

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

  1. 2025-05-28auto-patch README.md7c5e3c87.5 KB
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  2. 2024-12-26auto-patch README.md7ea55ed7.5 KB
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  3. 2024-12-26uploaded from nico17764dfe278 B
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