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usermma/My-Claude-4.6-Thinking-abliterated-failspy

usermma Qwen 3.1B
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Response includes
  • classification m1
  • files 15
  • hub_downloads_all_time 34
  • author_summary 77 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
34
6 last 30d - stable
Likes
0
Descendants
9
in 9 direct forks
Model age
4mo ago
created 2026-06-05
Downloads over time
Now39→from23↑70%
2228344123 on Jun 1039 on Oct 1239 on Oct 4JunJulAugSepOct
Jun 10 → Oct 12 · 58 snapshots · spans 124 days

Genealogy 9 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 30 downloads combined

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

Metadata

Tags
safetensors qwen2 obliteratus abliteration uncensored obliterate en region:us

Related

Total size
5.75 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-05 21:37

Files by quantization

Auxiliary files 15 files 5.76 GB
model-00001-of-00004.safetensors 1.83 GB 0d2128d1 download
model-00003-of-00004.safetensors 1.82 GB 996588d5 download
model-00002-of-00004.safetensors 1.82 GB 64db94f9 download
model-00004-of-00004.safetensors 276 MB 4db77f5d download
tokenizer.json 10.9 MB dbfda6cb download
model.safetensors.index.json 34.8 KB 812c2009 download
abliteration_metadata.json 1.61 KB cfef810b download
config.json 1.57 KB d9ff0d33 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.11 KB ac6f18cf download
tokenizer_config.json 495 B df007637 download
chat_template.jinja 398 B ecb8be2c download
obliteratus_session.json 260 B 48f6cd0f download
generation_config.json 239 B a9663c91 download
.quick_checkpoint 18.0 B 27769b5b download

README current version from Hugging Face


language: en
tags:

  • obliteratus
  • abliteration
  • uncensored
  • obliterate
    base_model: FlameF0X/My-Claude-4.6-Thinking

My-Claude-4.6-Thinking-OBLITERATED

This model was abliterated using the failspy method via
OBLITERATUS.

Detail Value
Base model FlameF0X/My-Claude-4.6-Thinking
Method failspy
Source obliterate

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("My-Claude-4.6-Thinking-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("My-Claude-4.6-Thinking-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.

README history 1 version

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

  1. 2026-06-05OBLITERATUS: failspy on FlameF0X/My-Claude-4.6-Thinking8ae37c81.1 KB
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