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ccharnkij/Phi-4-Uncensored-GGUF

ccharnkij Phi GGUF 16K ctx
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Response includes
  • classification m-uncensored
  • files 7
  • benchmarks 21 entries
  • hub_downloads_all_time 2,989
  • author_summary 20 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.

What is a refusal direction? →
Downloads · lifetime
3K
449 last 30d - stable
Likes
1
Model age
4mo ago
created 2026-05-27
Downloads over time
Now3.1K→from1.2K↑148%
1.1K1.9K2.6K3.3K1.2K on Jun 103.1K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Arena-Battles 25213 LM-Arena
LM Arena Elo 1222.5848583256243 LM-Arena
Arena-Elo-Lower 1218.2723409775285 LM-Arena
Arena-Elo-Upper 1226.8973756737205 LM-Arena
Arena-Rank 131 LM-Arena
BBH average 0.6050071345180957 OpenLLM-v2
IFEval instruct 0.7218225419664268 OpenLLM-v2
IFEval-Prompt 0.6284658040665434 OpenLLM-v2
MATH lvl 5 0.12311178247734139 OpenLLM-v2
MMLU-Pro 0.5378158244680851 OpenLLM-v2
Entertainment 1.5 UGI
Hazardous 2.4 UGI
Natural Intelligence 21.65 UGI
Political lean -19.7% UGI
Sensitive-Info 15.58 UGI
SocPol 1 UGI
UGI 20.39 UGI
Willingness (10) 3 UGI
W10-Adherence 1 UGI
W10-Direct 5 UGI
Writing 25.66 UGI

Genealogy 0 direct forks

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Variants by this author 2 formats · 491 downloads combined

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

Metadata

License
mit
Languages
en
Quantizations
F16 Q4_K Q5_K Q6_K Q8_0
Tags
gguf phi phi-4 uncensored text-generation en base_model:microsoft/phi-4 base_model:quantized:microsoft/phi-4 license:mit endpoints_compatible region:us conversational

Related

Total size
71.2 GB
Files
7
Quantizations
6
Registered
2026-08-22 13:56
Last updated on HF
2026-06-08 01:41

Files by quantization

F16 1 file 27.3 GB
Phi-4-Uncensored-f16.gguf 27.3 GB cd715d8b download
Q8_0 1 file 14.5 GB
Phi-4-Uncensored-Q8_0.gguf 14.5 GB ed9c90ce download
Q6_K 1 file 11.2 GB
Phi-4-Uncensored-Q6_K.gguf 11.2 GB f5f273b9 download
Q5_K 1 file 9.78 GB
Phi-4-Uncensored-Q5_K_M.gguf 9.78 GB 47e823df download
Q4_K 1 file 8.44 GB
Phi-4-Uncensored-Q4_K_M.gguf 8.44 GB 2a98cfdd download
Auxiliary files 2 files 3.48 KB
.gitattributes 1.79 KB bdc9eb44 download
README.md 1.69 KB 91ddb21e download

README current version from Hugging Face


license: mit
base_model: microsoft/phi-4
tags:

  • phi
  • phi-4
  • uncensored
  • text-generation
  • gguf
    language:
  • en
    pipeline_tag: text-generation

Phi-4-Uncensored-GGUF

GGUF quantized versions of Phi-4-Uncensored, a fine-tuned version of phi-4 with uncensored responses.

Model Details

  • Base Model: microsoft/phi-4
  • Fine-tuning Method: LoRA (Low-Rank Adaptation)
  • Model Format: GGUF (text only)
  • License: MIT

What's Different

  • Removed refusal behaviors and safety filters
  • Capable of generating adult content
  • Responds to prompts the base model would typically decline
  • Retains the general knowledge and instruction-following capability of Phi-4

ℹ️ Notes on Uncensoring

This model is zero-shot uncensored but not 100% guaranteed. Occasionally the model may still produce a refusal depending on the prompt. If this happens, simply regenerate — it should comply on retry.

Recommended Parameters

These are the parameters used during testing for best results:

Parameter Value
Temperature 0.85
Top-K 40
Top-P 0.5

💬 Feedback

If you use this model, I'd love to hear from you! Feel free to:

  • Leave a comment on this model page
  • Open a discussion for questions or suggestions
  • Report any issues or unexpected behaviors

Your feedback helps improve future versions.

⚠️ Disclaimer

This model is intended for research and educational purposes only.

This model is provided as-is, for adults only (18+).

License

This model is licensed under the MIT License.

README history 4 versions

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

  1. 2026-06-08Update README.md762f7be1.7 KB
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  2. 2026-05-29Update README.md33e28551.4 KB
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  3. 2026-05-28Update README.mdb9ec4c71.4 KB
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  4. 2026-05-27Upload folder using huggingface_hub09f042b1.4 KB
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