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Justbackup/Phi-4-Uncensored

Justbackup Phi 15B
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Response includes
  • classification m-uncensored
  • files 16
  • benchmarks 21 entries
  • hub_downloads_all_time 524
  • author_summary 30 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
524
35 last 30d - cooling
Likes
0
Model age
7w ago
created 2026-08-18
Downloads over time
Now535→from365↑47%
357422487552365 on Aug 19535 on Oct 11535 on Oct 7AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 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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Metadata

License
mit
Languages
en
Tags
safetensors phi3 phi phi-4 uncensored text-generation lora conversational en base_model:microsoft/phi-4 base_model:adapter:microsoft/phi-4 license:mit

Related

Total size
27.3 GB
Files
16
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-18 16:14

Files by quantization

Auxiliary files 16 files 27.3 GB
model-00006-of-00006.safetensors 4.64 GB 429776f6 download
model-00002-of-00006.safetensors 4.61 GB 2ac296a0 download
model-00001-of-00006.safetensors 4.59 GB 55574395 download
model-00003-of-00006.safetensors 4.57 GB 10b0a8e0 download
model-00004-of-00006.safetensors 4.44 GB 263156cd download
model-00005-of-00006.safetensors 4.44 GB 91c7bb8f download
tokenizer.json 6.82 MB 624ba298 download
vocab.json 1.54 MB c5dc46ce download
merges.txt 895 KB 354558ed download
model.safetensors.index.json 20.1 KB 83ce4f9c download
tokenizer_config.json 18.1 KB f75c91d9 download
README.md 2.08 KB 448008b7 download
.gitattributes 1.48 KB a6344aac download
config.json 859 B eb2ea232 download
special_tokens_map.json 487 B 7a570b00 download
generation_config.json 154 B 560cc644 download

README current version from Hugging Face


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

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

Phi-4-Uncensored

A fine-tuned version of phi-4 with uncensored responses. This model removes the default safety filters and restrictions, allowing for more open-ended and unrestricted conversations including adult content.

Model Details

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

Note: This fine-tuned version supports text only. The base model's vision and audio capabilities are not available in this version.

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

GGUF Version

A quantized GGUF version of this model is also available for use with llama.cpp, Ollama, and text-generation-webui:
👉 Phi-4-Uncensored-GGUF

💬 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 1 version

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

  1. 2026-08-18Duplicate from ccharnkij/Phi-4-Uncensoredf0554a22.1 KB
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