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arzaan789/llama-3.1-8b-uncensored

arzaan789 Llama 8B GGUF 131K ctx
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Response includes
  • classification m8
  • files 13
  • benchmarks 21 entries
  • hub_downloads_all_time 1,592
  • 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
494 last 30d - stable
Likes
0
Model age
5mo ago
created 2026-04-29
Downloads over time
Now1.7K→from329↑407%
2627751.3K1.8K329 on Apr 291.7K 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 52578 LM-Arena
LM Arena Elo 1193.5124798763727 LM-Arena
Arena-Elo-Lower 1189.790314040387 LM-Arena
Arena-Elo-Upper 1197.234645712358 LM-Arena
Arena-Rank 148 LM-Arena
BBH average 0.4671163575042159 OpenLLM-v2
IFEval instruct 0.564748201438849 OpenLLM-v2
IFEval-Prompt 0.4195933456561922 OpenLLM-v2
MATH lvl 5 0.15407854984894256 OpenLLM-v2
MMLU-Pro 0.37982047872340424 OpenLLM-v2
Entertainment 0 UGI
Hazardous 0 UGI
Natural Intelligence 18.19 UGI
Political lean -15.3% UGI
Sensitive-Info 4.69 UGI
SocPol 1.4 UGI
UGI 6.46 UGI
Willingness (10) 1 UGI
W10-Adherence 0 UGI
W10-Direct 2 UGI
Writing 24.82 UGI

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 llama conversational text-generation base_model:meta-llama/Llama-3.1-8B-Instruct base_model:quantized:meta-llama/Llama-3.1-8B-Instruct license:apache-2.0 endpoints_compatible region:us

Related

Total size
62.7 GB
Files
13
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2026-04-29 10:05

Files by quantization

F16 1 file 15.0 GB
llama_3.1_8b_uncensored.f16.gguf 15.0 GB a39911d2 download
Q8_0 1 file 7.95 GB
llama_3.1_8b_uncensored.Q8_0.gguf 7.95 GB d13b94b6 download
Q6_K 1 file 6.14 GB
llama_3.1_8b_uncensored.Q6_K.gguf 6.14 GB f4bcd727 download
Q5_K 2 files 10.6 GB
llama_3.1_8b_uncensored.Q5_K_M.gguf 5.34 GB cd816c0d download
llama_3.1_8b_uncensored.Q5_K_S.gguf 5.21 GB 784b06dd download
Q4_K 2 files 8.95 GB
llama_3.1_8b_uncensored.Q4_K_M.gguf 4.58 GB 414008ae download
llama_3.1_8b_uncensored.Q4_K_S.gguf 4.37 GB 1c38b4a7 download
Q3_K 3 files 11.2 GB
llama_3.1_8b_uncensored.Q3_K_L.gguf 4.03 GB f01d4846 download
llama_3.1_8b_uncensored.Q3_K_M.gguf 3.74 GB 0d4dfabc download
llama_3.1_8b_uncensored.Q3_K_S.gguf 3.41 GB a387955f download
Q2_K 1 file 2.96 GB
llama_3.1_8b_uncensored.Q2_K.gguf 2.96 GB e18c01b9 download
Auxiliary files 2 files 3.54 KB
.gitattributes 2.25 KB 0de2b558 download
README.md 1.30 KB fc2e47e4 download

README current version from Hugging Face


license: apache-2.0
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:

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

llama-3.1-8b-uncensored

Uncensored variant of meta-llama/Llama-3.1-8B-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) 3/64
Harmless (64 prompts) 0/64

Usage

llama-cli -m llama_3.1_8b_uncensored.Q4_K_M.gguf -p "Your prompt here"

Training Config

Parameter Value
Base Model meta-llama/Llama-3.1-8B-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. 2026-04-29Upload README.md with huggingface_hub45524271.3 KB
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