← back to catalog · registered 2026-10-04 01:58

mradermacher/Pyrex-8B-Instruct-Uncensored-GGUF

mradermacher 8B GGUF second-order
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     "https://abliteration.org/api/v1/models/mradermacher%2FPyrex-8B-Instruct-Uncensored-GGUF"
Response includes
  • classification m-uncensored
  • files 14
  • author_summary 3299 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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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Model age
today
created 2026-10-04

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.

Genealogy 0 direct forks

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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 code coding uncensored instruct finetuned qlora llama.cpp text-generation-inference agentic function-calling

Related

Total size
63.5 GB
Files
14
Quantizations
9
Registered
2026-10-04 01:58
Last updated on HF
2026-10-04 02:15

Files by quantization

F16 1 file 14.2 GB
Pyrex-8B-Instruct-Uncensored.f16.gguf 14.2 GB 22679727 download
Q8_0 1 file 7.54 GB
Pyrex-8B-Instruct-Uncensored.Q8_0.gguf 7.54 GB 0a9d7165 download
Q6_K 1 file 5.82 GB
Pyrex-8B-Instruct-Uncensored.Q6_K.gguf 5.82 GB b3e94eb3 download
Q5_K 2 files 10.0 GB
Pyrex-8B-Instruct-Uncensored.Q5_K_M.gguf 5.07 GB 64fd0017 download
Pyrex-8B-Instruct-Uncensored.Q5_K_S.gguf 4.95 GB e0047d84 download
Q4_K 2 files 8.51 GB
Pyrex-8B-Instruct-Uncensored.Q4_K_M.gguf 4.36 GB dbd20ab7 download
Pyrex-8B-Instruct-Uncensored.Q4_K_S.gguf 4.15 GB c5523cd3 download
IQ4 1 file 3.96 GB
Pyrex-8B-Instruct-Uncensored.IQ4_XS.gguf 3.96 GB 018bfedd download
Q3_K 3 files 10.6 GB
Pyrex-8B-Instruct-Uncensored.Q3_K_L.gguf 3.81 GB 07d59656 download
Pyrex-8B-Instruct-Uncensored.Q3_K_M.gguf 3.55 GB a794a83b download
Pyrex-8B-Instruct-Uncensored.Q3_K_S.gguf 3.25 GB 7083470e download
Q2_K 1 file 2.81 GB
Pyrex-8B-Instruct-Uncensored.Q2_K.gguf 2.81 GB 81367f30 download
Auxiliary files 2 files 6.60 KB
README.md 4.22 KB d94a3bbd download
.gitattributes 2.38 KB a1aaab44 download

README current version from Hugging Face


base_model: ImposterOnline/Pyrex-8B-Instruct-Uncensored
datasets:

  • OpenCoder-LLM/opencoder-sft-stage1
  • sahil2801/CodeAlpaca-20k
  • theblackcat102/evol-codealpaca-v1
  • databricks/databricks-dolly-15k
  • NousResearch/hermes-function-calling-v1
    language:
  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • code
  • coding
  • uncensored
  • instruct
  • finetuned
  • qlora
  • gguf
  • llama.cpp
  • text-generation-inference
  • transformers
  • agentic
  • function-calling

About

static quants of https://huggingface.co/ImposterOnline/Pyrex-8B-Instruct-Uncensored

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

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 3.1
GGUF Q3_K_S 3.6
GGUF Q3_K_M 3.9 lower quality
GGUF Q3_K_L 4.2
GGUF IQ4_XS 4.4
GGUF Q4_K_S 4.6 fast, recommended
GGUF Q4_K_M 4.8 fast, recommended
GGUF Q5_K_S 5.4
GGUF Q5_K_M 5.5
GGUF Q6_K 6.4 very good quality
GGUF Q8_0 8.2 fast, best quality
GGUF f16 15.3 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.

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