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arzaan789/phi-3-mini-uncensored

arzaan789 Phi GGUF 4K ctx
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Response includes
  • classification m8
  • files 13
  • benchmarks 5 entries
  • hub_downloads_all_time 1,713
  • author_summary 28 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
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
2K
253 last 30d - stable
Likes
0
Model age
5mo ago
created 2026-04-30
Downloads over time
Now1.8K→from185↑860%
1057151.3K1.9K185 on Apr 291.8K on Oct 11AprMayJunJulAugSepOct
Apr 29 → Oct 11 · 63 snapshots · spans 165 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 21097 LM-Arena
LM Arena Elo 1082.1966432448253 LM-Arena
Arena-Elo-Lower 1076.191750651914 LM-Arena
Arena-Elo-Upper 1088.2015358377366 LM-Arena
Arena-Rank 200 LM-Arena

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Quantizations
F16 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf uncensored abliterated phi conversational text-generation base_model:microsoft/Phi-3-mini-4k-instruct base_model:quantized:microsoft/Phi-3-mini-4k-instruct license:apache-2.0 endpoints_compatible region:us

Related

Total size
30.0 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-04-30 13:23

Files by quantization

F16 1 file 7.12 GB
phi_3_mini_uncensored.f16.gguf 7.12 GB d67e69a7 download
Q8_0 1 file 3.78 GB
phi_3_mini_uncensored.Q8_0.gguf 3.78 GB e11bedbf download
Q6_K 1 file 2.92 GB
phi_3_mini_uncensored.Q6_K.gguf 2.92 GB 8a5e46d5 download
Q5_K 2 files 5.03 GB
phi_3_mini_uncensored.Q5_K_M.gguf 2.57 GB bce56c93 download
phi_3_mini_uncensored.Q5_K_S.gguf 2.46 GB 246eb34b download
Q4_K 2 files 4.28 GB
phi_3_mini_uncensored.Q4_K_M.gguf 2.23 GB 2d5a7ef9 download
phi_3_mini_uncensored.Q4_K_S.gguf 2.05 GB 5f79ebf7 download
Q3_K 3 files 5.44 GB
phi_3_mini_uncensored.Q3_K_L.gguf 2.05 GB 685f9b0c download
phi_3_mini_uncensored.Q3_K_M.gguf 1.83 GB ab63a36f download
phi_3_mini_uncensored.Q3_K_S.gguf 1.57 GB 8f5b79a7 download
Q2_K 1 file 1.40 GB
phi_3_mini_uncensored.Q2_K.gguf 1.40 GB 95b0281b download
Auxiliary files 2 files 3.52 KB
.gitattributes 2.23 KB 8993083a download
README.md 1.29 KB 799b1e34 download

README current version from Hugging Face


license: apache-2.0
base_model: microsoft/Phi-3-mini-4k-instruct
tags:

  • uncensored
  • abliterated
  • gguf
  • phi
  • conversational
    pipeline_tag: text-generation

phi-3-mini-uncensored

Uncensored variant of microsoft/Phi-3-mini-4k-instruct.

Method

  1. Abliteration (strength=0.2) — refusal direction removed from all layers
  2. LoRA fine-tune on Guilherme34/uncensor (2 epochs, r=16, alpha=32)
  3. Re-abliteration (strength=0.35) — stronger pass to remove residual refusals

Eval Results

Split Refused
Harmful (64 prompts) 6/64
Harmless (64 prompts) 0/64

Usage

llama-cli -m phi_3_mini_uncensored.Q4_K_M.gguf -p "Your prompt here"

Training Config

Parameter Value
Base Model microsoft/Phi-3-mini-4k-instruct
Fine-tune Dataset Guilherme34/uncensor
Epochs 2
LoRA r 16
LoRA alpha 32
Learning Rate 0.0002
Abliteration Strength 0.2
Re-abliteration Strength 0.35

Credits

README history 1 version

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

  1. 2026-04-30Upload README.md with huggingface_hub2ae5eab1.3 KB
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