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BIGJUTT/Qwen3-8B-abliterated

BIGJUTT Qwen 8B
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     "https://abliteration.org/api/v1/models/BIGJUTT%2FQwen3-8B-abliterated"
Response includes
  • classification m-uncensored
  • files 20
  • author_summary 4 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.

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Model age
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created 2026-10-19

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Metadata

Tags
safetensors qwen3 obliteratus abliteration uncensored obliterate en base_model:Qwen/Qwen3-8B base_model:finetune:Qwen/Qwen3-8B region:us

Related

Total size
15.3 GB
Files
20
Quantizations
1
Registered
2026-10-20 00:00
Last updated on HF
2026-10-19 23:41

Files by quantization

Auxiliary files 20 files 15.3 GB
model-00004-of-00009.safetensors 1.80 GB 82257270 download
model-00005-of-00009.safetensors 1.80 GB 2e2cca14 download
model-00006-of-00009.safetensors 1.80 GB 709f63f0 download
model-00007-of-00009.safetensors 1.80 GB 97290b59 download
model-00003-of-00009.safetensors 1.80 GB afc4d2da download
model-00002-of-00009.safetensors 1.80 GB ce794f1b download
model-00001-of-00009.safetensors 1.78 GB d9848129 download
model-00008-of-00009.safetensors 1.53 GB 045e5910 download
model-00009-of-00009.safetensors 1.16 GB c08d43c4 download
tokenizer.json 10.9 MB 19cd89f5 download
model.safetensors.index.json 32.1 KB 42c545a9 download
chat_template.jinja 4.07 KB 01be9b30 download
abliteration_metadata.json 1.86 KB 9f4663a4 download
config.json 1.56 KB 535173b8 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.04 KB 5b246724 download
tokenizer_config.json 694 B 770e41d6 download
generation_config.json 234 B 78d23cfa download
obliteratus_session.json 224 B 895d35e0 download
.quick_checkpoint 18.0 B 27769b5b download

README current version from Hugging Face


language: en
tags:

  • obliteratus
  • abliteration
  • uncensored
  • obliterate
    base_model: Qwen/Qwen3-8B

Qwen3-8B-OBLITERATED

This model was abliterated using the advanced method via
OBLITERATUS.

Detail Value
Base model Qwen/Qwen3-8B
Method advanced
Source obliterate

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Qwen3-8B-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("Qwen3-8B-OBLITERATED")

prompt = "Hello, how are you?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

About OBLITERATUS

OBLITERATUS is an open-source tool for removing refusal behavior from language
models via activation engineering (abliteration). Learn more at
github.com/elder-plinius/OBLITERATUS.

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