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usermma/NEXUS-Coder-Abliterated

usermma Qwen 1.5B
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Response includes
  • classification m1
  • files 13
  • hub_downloads_all_time 57
  • 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
57
9 last 30d - stable
Likes
0
Descendants
9
in 9 direct forks
Model age
3mo ago
created 2026-07-10
Downloads over time
Now62→from41↑51%
4048566441 on Jul 1562 on Oct 1262 on Oct 9JulAugSepOct
Jul 15 → Oct 12 · 54 snapshots · spans 89 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 · 34 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 base_model:fableforge-ai/NEXUS-Coder base_model:finetune:fableforge-ai/NEXUS-Coder region:us

Related

Total size
2.88 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-10 09:33

Files by quantization

Auxiliary files 13 files 2.89 GB
model-00001-of-00002.safetensors 1.84 GB bbcaeaee download
model-00002-of-00002.safetensors 1.04 GB 2cf06c04 download
tokenizer.json 10.9 MB dbfda6cb download
model.safetensors.index.json 27.1 KB 898af635 download
chat_template.jinja 2.45 KB bdf7919a download
abliteration_metadata.json 1.61 KB 9d8e50a5 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.40 KB 2cc00559 download
README.md 1.09 KB dbb925de download
tokenizer_config.json 536 B 2724f4ce download
generation_config.json 264 B a964fccc download
obliteratus_session.json 253 B 950b02ab download
.quick_checkpoint 18.0 B 27769b5b download

README current version from Hugging Face


language: en
tags:

  • obliteratus
  • abliteration
  • uncensored
  • obliterate
    base_model: fableforge-ai/NEXUS-Coder

NEXUS-Coder-Abliterated

This model was abliterated using the heretic + rdo method via
OBLITERATUS.

Detail Value
Base model usermma/NEXUS-Coder-Abliterated
Method heretic + rdo
Source obliterate

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("NEXUS-Coder-Abliterated")
tokenizer = AutoTokenizer.from_pretrained("NEXUS-Coder-Abliterated")

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 3 versions

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

  1. 2026-07-10Update README.mddcce6ba1.1 KB
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  2. 2026-07-10Update README.md9d938b01.1 KB
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  3. 2026-07-10OBLITERATUS: rdo on usermma/NEXUS-Coder-OBLITERATED2f436e31.1 KB
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