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usermma/MiniCPM5-1B-Claude-Opus-Fable5-Thinking-abliterated

usermma Llama 1.1B
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/usermma%2FMiniCPM5-1B-Claude-Opus-Fable5-Thinking-abliterated"
Response includes
  • classification m1
  • files 13
  • hub_downloads_all_time 49
  • 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
49
9 last 30d - stable
Likes
1
Descendants
2
in 2 direct forks
Model age
3mo ago
created 2026-07-10
Downloads over time
Now56→from26↑115%
2536485926 on Jul 1556 on Oct 1156 on Oct 9JulAugSepOct
Jul 15 → Oct 11 · 53 snapshots · spans 88 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 llama obliteratus abliteration uncensored obliterate en base_model:GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking base_model:finetune:GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking region:us

Related

Total size
2.01 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-10 08:20

Files by quantization

Auxiliary files 13 files 2.02 GB
model-00001-of-00002.safetensors 1.64 GB 65432d67 download
model-00002-of-00002.safetensors 383 MB 82ccc9b6 download
tokenizer.json 9.44 MB 1df83b86 download
model.safetensors.index.json 17.6 KB ce9ed7d5 download
chat_template.jinja 8.85 KB cb2934c4 download
abliteration_metadata.json 1.63 KB aa066803 download
.gitattributes 1.48 KB a6344aac download
README.md 1.19 KB c3583353 download
config.json 748 B c17d5f9b download
tokenizer_config.json 733 B 69ad8657 download
obliteratus_session.json 319 B 2c3bcd17 download
generation_config.json 234 B cedce495 download
.quick_checkpoint 18.0 B 27769b5b download

README current version from Hugging Face


language: en
tags:

  • obliteratus
  • abliteration
  • uncensored
  • obliterate
    base_model: GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking

MiniCPM5-1B-Claude-Opus-Fable5-Thinking-OBLITERATED

This model was abliterated using the failspy method via
OBLITERATUS.

Detail Value
Base model GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking
Method failspy
Source obliterate

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("MiniCPM5-1B-Claude-Opus-Fable5-Thinking-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("MiniCPM5-1B-Claude-Opus-Fable5-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. 2026-07-10OBLITERATUS: failspy on GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking062d0991.2 KB
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