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heterodoxin/qwen-3.8-27b-abliterated

heterodoxin Qwen 28B multimodal
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Response includes
  • classification m1
  • files 14
  • hub_downloads_all_time 571
  • author_summary 1 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
571
487 last 30d - active
Likes
15
Descendants
2
in 2 direct forks
Model age
6w ago
created 2026-08-26
Downloads over time
Now745→from0↑0%
02735468200 on Aug 26745 on Oct 11AugSepOct
Aug 26 → Oct 11 · 47 snapshots · spans 46 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

License
apache-2.0
Tags
safetensors qwen3_5 region:us

Related

Total size
50.1 GB
Files
14
Quantizations
1
Registered
2026-08-26 23:02
Last updated on HF
2026-09-09 15:10

Files by quantization

Auxiliary files 14 files 50.1 GB
model-00001-of-00002.safetensors 46.4 GB e9f93bcd download
model-00002-of-00002.safetensors 3.69 GB da7b85a9 download
tokenizer.json 19.1 MB feaedada download
model.safetensors.index.json 81.9 KB 70fe4d08 download
kcrn_report.json 75.8 KB 587c73e7 download
chat_template.jinja 8.74 KB c0c686f9 download
apostate_config.json 5.82 KB fe1a577a download
config.json 2.68 KB 08b24a34 download
README.md 1.72 KB c5ae21f4 download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.10 KB d1a20cc3 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 214 B 3f25ead4 download

README current version from Hugging Face


base_model: Qwen/Qwen3.8-27B
library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
tags:

  • abliterated
  • uncensored

qwen-3.8-27b-abliterated

Uncensored build of Qwen/Qwen3.8-27B, produced with
Apostate using the fixed-weight KCRN path.

KCRN removes the refusal direction from the residual writers that carry it, conditioned on the
harmful key subspace where the refusal decision is made, while pinning a benign key basis to
zero change. The result is a plain checkpoint: no runtime hook, adapter, finetune, or router.

field value
base model Qwen/Qwen3.8-27B
method Apostate KCRN (fixed-weight key-conditional refusal nulling)
edited writers 41
strength 5.0
checkpoint dtype float16
held-out harmful delivery 63.5% of 96 prompts
held-out benign full-position KL 0.003214

Delivery is scored on held-out prompts the edit was never fitted on, with a strict judge. KL is
raw float32 KL(base || edited) over every non-padding prompt position, measured after reloading
this checkpoint. Both numbers are protocol-specific and only comparable against runs using the
same splits, token budget, judge, dtype, and loading path; kcrn_report.json records that protocol.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "heterodoxin/qwen-3.8-27b-abliterated",
    device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained("heterodoxin/qwen-3.8-27b-abliterated")

Warning

This model is uncensored and will answer harmful and dangerous requests. You are responsible
for how you use it.

README history 2 versions

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

  1. 2026-09-07Add files using upload-large-folder tool1c375881.3 KB
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  2. 2026-08-26Upload qwen-3.8-27b-abliteratede3ed7051.7 KB
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