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alperiox/Qwen2.5-1.5B-Instruct-arithmetic-abliterated

Name: alperiox/Qwen2.5-1.5B-Instruct-arithmetic-abliterated
Author: alperiox

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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/alperiox%2FQwen2.5-1.5B-Instruct-arithmetic-abliterated"

Response includes

classification m1
files 9
hub_downloads_all_time 85
author_summary 3 models
readme_text full

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Abliteration classifier · v1.0.0

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

FromArditi et al. (2024) ↗

Confidence

MEDIUM

Why we say so

primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)

Downloads · lifetime

7 last 30d - cooling

Likes

Descendants

in 1 direct fork

Model age

5mo ago

created 2026-04-23

Downloads over time

Apr 22 → Oct 11 · 64 snapshots · spans 172 days

Genealogy 1 direct fork

Full fork graph →

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

alperiox/Qwen2.5-1.5B-Instruct-arithmetic-abliterated↓ 7 1 fork

mradermacher/Qwen2.5-1.5B-Instruct-arithmetic-abliterated-GGUF↓ 226

Metadata

Files by quantization

Auxiliary files 9 files 2.89 GB

model.safetensors	2.88 GB	ded4ced9	download
tokenizer.json	10.9 MB	15d73866	download
chat_template.jinja	2.45 KB	bdf7919a	download
.gitattributes	1.53 KB	52373fe2	download
config.json	1.34 KB	917617a0	download
README.md	833 B	a0df21f0	download
tokenizer_config.json	665 B	7d75d3bb	download
abliteration_metadata.json	320 B	2800c1c2	download
generation_config.json	241 B	d631ac5c	download

README current version from Hugging Face

Qwen2.5-1.5B-Instruct - Arithmetic Abliteration

Base model: Qwen/Qwen2.5-1.5B-Instruct

Modified layer: 19/28 (67.9% depth)
Method: Difference-in-means + Weight Orthogonalization
Reference: Arditi et al., Refusal in Language Models Is Mediated by a Single Direction (2024)

What is this?

This is a permanently abliterated version. The arithmetic direction was projected
out of the model weights using:

W_new = W - r * (r^T * W)

No hooks needed. Works with any inference pipeline or quantization.

Behavior

Arithmetic accuracy: ~0% (suppressed)
General language: preserved

Note

100% arith suppression, 97% neutral coherence. Layer 19/28 (68% depth).

Original experiment

https://github.com/alperiox/abliteration-example-mlintern

README history 1 version

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

2026-04-23Add arithmetic abliterated checkpoint (layer 19/28)dbaee9f833 B
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alperiox/Qwen2.5-1.5B-Instruct-arithmetic-abliterated

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