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usermma/Holo-3.1-4B-Coder-abliterated-failspy

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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/usermma%2FHolo-3.1-4B-Coder-abliterated-failspy"
Response includes
  • classification m1
  • files 16
  • 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
7 last 30d - stable
Likes
1
Descendants
2
in 2 direct forks
Model age
4mo ago
created 2026-06-05
Downloads over time
Now39→from15↑160%
1423324115 on Jun 1039 on Oct 1139 on Oct 9JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Genealogy 2 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:josephmayo/Holo-3.1-4B-Coder base_model:finetune:josephmayo/Holo-3.1-4B-Coder region:us

Related

Total size
7.83 GB
Files
16
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-05 21:31

Files by quantization

Auxiliary files 16 files 7.85 GB
model-00001-of-00005.safetensors 1.86 GB 76be3f06 download
model-00003-of-00005.safetensors 1.85 GB 8c9d5bd7 download
model-00002-of-00005.safetensors 1.84 GB c965b81e download
model-00004-of-00005.safetensors 1.83 GB 5327bbf0 download
model-00005-of-00005.safetensors 465 MB e12ded37 download
tokenizer.json 19.1 MB 870a4b4b download
model.safetensors.index.json 34.8 KB 0a098da3 download
chat_template.jinja 7.57 KB a585dec8 download
config.json 1.89 KB b70feb30 download
abliteration_metadata.json 1.62 KB 0da66c5a download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.28 KB fa5bc729 download
README.md 1.09 KB 3b84cadf download
obliteratus_session.json 249 B ed36f628 download
generation_config.json 233 B 71de279c download
.quick_checkpoint 18.0 B 27769b5b download

README current version from Hugging Face


language: en
tags:

  • obliteratus
  • abliteration
  • uncensored
  • obliterate
    base_model: josephmayo/Holo-3.1-4B-Coder

Holo-3.1-4B-Coder-OBLITERATED

This model was abliterated using the failspy method via
OBLITERATUS.

Detail Value
Base model josephmayo/Holo-3.1-4B-Coder
Method failspy
Source obliterate

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Holo-3.1-4B-Coder-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("Holo-3.1-4B-Coder-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 josephmayo/Holo-3.1-4B-Coder8d1de091.1 KB
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