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mradermacher/Pyrut-8B-Instruct-Uncensored-i1-GGUF

mradermacher 8B GGUF second-order
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Response includes
  • classification m8
  • files 24
  • author_summary 3295 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='ImposterOnline/Pyrut-8B-Instruct-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 · 30-day
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Likes
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Model age
today
created 2026-10-03

Genealogy 0 direct forks

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Variants by this author 2 formats · 0 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 code coding uncensored pyrut fine-tuned qlora en base_model:ImposterOnline/Pyrut-8B-Instruct-Uncensored base_model:quantized:ImposterOnline/Pyrut-8B-Instruct-Uncensored license:apache-2.0

Related

Total size
71.9 GB
Files
24
Quantizations
11
Registered
2026-10-03 06:58
Last updated on HF
2026-10-03 08:49

Files by quantization

Q6_K 1 file 5.82 GB
Pyrut-8B-Instruct-Uncensored.i1-Q6_K.gguf 5.82 GB ad660864 download
Q5_K 2 files 10.0 GB
Pyrut-8B-Instruct-Uncensored.i1-Q5_K_M.gguf 5.07 GB a8ea59f5 download
Pyrut-8B-Instruct-Uncensored.i1-Q5_K_S.gguf 4.95 GB 2a0130f8 download
Q4_K 2 files 8.51 GB
Pyrut-8B-Instruct-Uncensored.i1-Q4_K_M.gguf 4.36 GB 20d0a52a download
Pyrut-8B-Instruct-Uncensored.i1-Q4_K_S.gguf 4.15 GB 2fb0d0b0 download
Q4 1 file 4.14 GB
Pyrut-8B-Instruct-Uncensored.i1-Q4_0.gguf 4.14 GB c3edaa08 download
IQ4 2 files 8.06 GB
Pyrut-8B-Instruct-Uncensored.i1-IQ4_NL.gguf 4.13 GB 4f0ca51b download
Pyrut-8B-Instruct-Uncensored.i1-IQ4_XS.gguf 3.93 GB e6e86111 download
Q3_K 3 files 10.6 GB
Pyrut-8B-Instruct-Uncensored.i1-Q3_K_L.gguf 3.81 GB c8bbcba2 download
Pyrut-8B-Instruct-Uncensored.i1-Q3_K_M.gguf 3.55 GB 9f1be5bb download
Pyrut-8B-Instruct-Uncensored.i1-Q3_K_S.gguf 3.25 GB b3568e62 download
IQ3 2 files 6.23 GB
Pyrut-8B-Instruct-Uncensored.i1-IQ3_M.gguf 3.33 GB 1993d106 download
Pyrut-8B-Instruct-Uncensored.i1-IQ3_XXS.gguf 2.90 GB 04f2c8fa download
Q2_K 2 files 5.45 GB
Pyrut-8B-Instruct-Uncensored.i1-Q2_K.gguf 2.81 GB 3f7f3d67 download
Pyrut-8B-Instruct-Uncensored.i1-Q2_K_S.gguf 2.64 GB bab3d244 download
IQ2 4 files 9.42 GB
Pyrut-8B-Instruct-Uncensored.i1-IQ2_M.gguf 2.59 GB e8881a79 download
Pyrut-8B-Instruct-Uncensored.i1-IQ2_S.gguf 2.42 GB f1283f91 download
Pyrut-8B-Instruct-Uncensored.i1-IQ2_XS.gguf 2.30 GB d595d20e download
Pyrut-8B-Instruct-Uncensored.i1-IQ2_XXS.gguf 2.12 GB b97dcba4 download
IQ1 2 files 3.67 GB
Pyrut-8B-Instruct-Uncensored.i1-IQ1_M.gguf 1.90 GB 657e6603 download
Pyrut-8B-Instruct-Uncensored.i1-IQ1_S.gguf 1.77 GB e7923dd4 download
Auxiliary files 3 files 4.36 MB
Pyrut-8B-Instruct-Uncensored.imatrix.gguf 4.35 MB 39900682 download
README.md 5.05 KB 006d2e72 download
.gitattributes 3.19 KB 5e95fab2 download

README current version from Hugging Face


base_model: ImposterOnline/Pyrut-8B-Instruct-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • code
  • coding
  • uncensored
  • pyrut
  • fine-tuned
  • qlora

About

weighted/imatrix quants of https://huggingface.co/ImposterOnline/Pyrut-8B-Instruct-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Pyrut-8B-Instruct-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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_M 2.1 mostly desperate
GGUF i1-IQ2_XXS 2.4
GGUF i1-IQ2_M 2.9
GGUF i1-Q2_K_S 2.9 very low quality
GGUF i1-Q2_K 3.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.2 lower quality
GGUF i1-Q3_K_S 3.6 IQ3_XS probably better
GGUF i1-IQ3_M 3.7
GGUF i1-Q3_K_M 3.9 IQ3_S probably better
GGUF i1-Q3_K_L 4.2 IQ3_M probably better
GGUF i1-IQ4_XS 4.3
GGUF i1-IQ4_NL 4.5 prefer IQ4_XS
GGUF i1-Q4_K_S 4.6 optimal size/speed/quality
GGUF i1-Q4_K_M 4.8 fast, recommended
GGUF i1-Q6_K 6.4 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.

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