← back to catalog · registered 2026-08-22 13:56

mradermacher/Phi-4-Uncensored-i1-GGUF

mradermacher Phi GGUF second-order 16K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 3,117
  • 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='ccharnkij/Phi-4-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
3K
999 last 30d - stable
Likes
1
Model age
4mo ago
created 2026-05-30
Downloads over time
Now3.4K→from814↑319%
6841.7K2.7K3.7K814 on Jun 103.4K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 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 · 1K downloads combined

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

Metadata

License
mit
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf phi phi-4 uncensored text-generation lora en base_model:ccharnkij/Phi-4-Uncensored base_model:adapter:ccharnkij/Phi-4-Uncensored license:mit endpoints_compatible

Related

Total size
161 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-30 06:00

Files by quantization

Q6_K 1 file 11.2 GB
Phi-4-Uncensored.i1-Q6_K.gguf 11.2 GB 7d7c897f download
Q5_K 2 files 19.2 GB
Phi-4-Uncensored.i1-Q5_K_M.gguf 9.78 GB a2dda173 download
Phi-4-Uncensored.i1-Q5_K_S.gguf 9.45 GB 9c1edc71 download
Q4 2 files 16.5 GB
Phi-4-Uncensored.i1-Q4_1.gguf 8.63 GB 5b603e4f download
Phi-4-Uncensored.i1-Q4_0.gguf 7.83 GB a4e9fb85 download
Q4_K 2 files 16.3 GB
Phi-4-Uncensored.i1-Q4_K_M.gguf 8.44 GB 15492f52 download
Phi-4-Uncensored.i1-Q4_K_S.gguf 7.88 GB 317e8ba8 download
IQ4 2 files 15.6 GB
Phi-4-Uncensored.i1-IQ4_NL.gguf 7.99 GB c02d9e35 download
Phi-4-Uncensored.i1-IQ4_XS.gguf 7.62 GB 5c819cf6 download
Q3_K 3 files 20.5 GB
Phi-4-Uncensored.i1-Q3_K_L.gguf 7.57 GB 837fe7d6 download
Phi-4-Uncensored.i1-Q3_K_M.gguf 6.87 GB 1920864f download
Phi-4-Uncensored.i1-Q3_K_S.gguf 6.06 GB 80288e31 download
IQ3 4 files 24.4 GB
Phi-4-Uncensored.i1-IQ3_M.gguf 6.44 GB f7d1a43c download
Phi-4-Uncensored.i1-IQ3_S.gguf 6.25 GB 7d9149e4 download
Phi-4-Uncensored.i1-IQ3_XS.gguf 6.01 GB a8d70d45 download
Phi-4-Uncensored.i1-IQ3_XXS.gguf 5.71 GB dd67592e download
Q2_K 2 files 10.7 GB
Phi-4-Uncensored.i1-Q2_K.gguf 5.51 GB 3fd9c820 download
Phi-4-Uncensored.i1-Q2_K_S.gguf 5.16 GB a829adbe download
IQ2 4 files 18.7 GB
Phi-4-Uncensored.i1-IQ2_M.gguf 5.11 GB a10d65c1 download
Phi-4-Uncensored.i1-IQ2_S.gguf 4.81 GB 9e3a960c download
Phi-4-Uncensored.i1-IQ2_XS.gguf 4.58 GB 68721845 download
Phi-4-Uncensored.i1-IQ2_XXS.gguf 4.24 GB 7f89a0a8 download
IQ1 2 files 7.48 GB
Phi-4-Uncensored.i1-IQ1_M.gguf 3.86 GB 2a132eac download
Phi-4-Uncensored.i1-IQ1_S.gguf 3.63 GB 69d79ac6 download
Auxiliary files 3 files 5.11 MB
Phi-4-Uncensored.imatrix.gguf 5.10 MB 9d8fb878 download
README.md 5.86 KB d05ec2ad download
.gitattributes 3.13 KB 160b1249 download

README current version from Hugging Face


base_model: ccharnkij/Phi-4-Uncensored
language:

  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • phi
  • phi-4
  • uncensored
  • text-generation
  • lora

About

weighted/imatrix quants of https://huggingface.co/ccharnkij/Phi-4-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Phi-4-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_S 4.0 for the desperate
GGUF i1-IQ1_M 4.2 mostly desperate
GGUF i1-IQ2_XXS 4.7
GGUF i1-IQ2_XS 5.0
GGUF i1-IQ2_S 5.3
GGUF i1-IQ2_M 5.6
GGUF i1-Q2_K_S 5.6 very low quality
GGUF i1-Q2_K 6.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 6.2 lower quality
GGUF i1-IQ3_XS 6.6
GGUF i1-Q3_K_S 6.6 IQ3_XS probably better
GGUF i1-IQ3_S 6.8 beats Q3_K*
GGUF i1-IQ3_M 7.0
GGUF i1-Q3_K_M 7.5 IQ3_S probably better
GGUF i1-Q3_K_L 8.2 IQ3_M probably better
GGUF i1-IQ4_XS 8.3
GGUF i1-Q4_0 8.5 fast, low quality
GGUF i1-Q4_K_S 8.6 optimal size/speed/quality
GGUF i1-IQ4_NL 8.7 prefer IQ4_XS
GGUF i1-Q4_K_M 9.2 fast, recommended
GGUF i1-Q4_1 9.4
GGUF i1-Q5_K_S 10.3
GGUF i1-Q5_K_M 10.6
GGUF i1-Q6_K 12.1 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. 2026-05-30auto-patch README.mdf391dea5.9 KB
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  2. 2026-05-30auto-patch README.md35925044.3 KB
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  3. 2026-05-30uploaded from marco4090a8a472 B
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