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usermma/grug-9b-Heretic-Abliterated

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Response includes
  • classification m3
  • files 21
  • hub_downloads_all_time 32
  • author_summary 77 models
  • readme_text full
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
32
5 last 30d - stable
Likes
1
Model age
3mo ago
created 2026-07-10
Downloads over time
Now35→from22↑59%
2126313622 on Jul 1535 on Oct 1135 on Oct 7JulAugSepOct
Jul 15 → Oct 11 · 53 snapshots · spans 88 days

Genealogy 0 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.

Metadata

Tags
safetensors qwen3_5_text obliteratus abliteration uncensored obliterate en base_model:ProCreations/grug-9b base_model:finetune:ProCreations/grug-9b region:us

Related

Total size
16.7 GB
Files
21
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-10 09:02

Files by quantization

Auxiliary files 21 files 16.7 GB
model-00001-of-00010.safetensors 1.89 GB a77f2ef9 download
model-00009-of-00010.safetensors 1.89 GB 62990dc9 download
model-00007-of-00010.safetensors 1.86 GB 8bfa47ce download
model-00008-of-00010.safetensors 1.85 GB f489f0c1 download
model-00002-of-00010.safetensors 1.83 GB 9d476cfb download
model-00005-of-00010.safetensors 1.83 GB 5239616a download
model-00003-of-00010.safetensors 1.83 GB eb1734e4 download
model-00006-of-00010.safetensors 1.80 GB 881faa90 download
model-00004-of-00010.safetensors 1.80 GB b244f27f download
model-00010-of-00010.safetensors 96.0 MB 76aafc82 download
tokenizer.json 19.1 MB 870a4b4b download
model.safetensors.index.json 34.8 KB 5edc660f download
chat_template.jinja 7.42 KB 11be7e25 download
config.json 1.94 KB 38949883 download
abliteration_metadata.json 1.60 KB ba8fc1f6 download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.24 KB 45245a5e download
README.md 1.04 KB b685cd59 download
obliteratus_session.json 233 B 900689bc download
generation_config.json 158 B 04665be6 download
.quick_checkpoint 18.0 B 27769b5b download

README current version from Hugging Face


language: en
tags:

  • obliteratus
  • abliteration
  • uncensored
  • obliterate
    base_model: ProCreations/grug-9b

grug-9b-OBLITERATED

This model was abliterated using the heretic method via
OBLITERATUS.

Detail Value
Base model ProCreations/grug-9b
Method heretic
Source obliterate

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("grug-9b-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("grug-9b-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. 2026-07-10OBLITERATUS: heretic on ProCreations/grug-9b44055c91 KB
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