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mradermacher/qwen3.5-9b-uncensored-GGUF

mradermacher 9B GGUF second-order
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Response includes
  • classification m-uncensored
  • files 7
  • author_summary 3310 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
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created 2026-10-06
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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
F16 Q4_K Q8_0
Tags
transformers gguf qwen3.5 uncensored coding agentic tool-use lora fine-tuned text-generation en base_model:mshodiqul/qwen3.5-9b-uncensored

Related

Total size
30.5 GB
Files
7
Quantizations
4
Registered
2026-10-06 23:58
Last updated on HF
2026-10-07 00:41

Files by quantization

F16 2 files 17.5 GB
qwen3.5-9b-uncensored.f16.gguf 16.7 GB dd861cbd download
qwen3.5-9b-uncensored.mmproj-f16.gguf 876 MB cd90c2d5 download
Q8_0 2 files 9.45 GB
qwen3.5-9b-uncensored.Q8_0.gguf 8.87 GB a800132a download
qwen3.5-9b-uncensored.mmproj-Q8_0.gguf 595 MB 31c3d94a download
Q4_K 1 file 4.98 GB
qwen3.5-9b-uncensored.Q4_K_S.gguf 4.98 GB f46bb074 download
Auxiliary files 2 files 4.57 KB
README.md 2.74 KB 2f47c932 download
.gitattributes 1.83 KB 68624763 download

README current version from Hugging Face


base_model: mshodiqul/qwen3.5-9b-uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen3.5
  • uncensored
  • coding
  • agentic
  • tool-use
  • lora
  • fine-tuned
  • text-generation

About

static quants of https://huggingface.co/mshodiqul/qwen3.5-9b-uncensored

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/qwen3.5-9b-uncensored-i1-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 mmproj-Q8_0 0.7 multi-modal supplement
GGUF mmproj-f16 1.0 multi-modal supplement
GGUF Q4_K_S 5.5 fast, recommended
GGUF Q8_0 9.6 fast, best quality
GGUF f16 18.0 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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