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llmfan46/Darkidol-Ballad-27B-ultra-uncensored-heretic-v2

llmfan46 Qwen 27B
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
7K
37 last 30d - cooling
Likes
0
Descendants
3
in 3 direct forks
Model age
6mo ago
created 2026-03-24
Downloads over time
Now6.6K→from963↑583%
6822.8K5K7.1K963 on Mar 256.6K on Oct 116.6K on Oct 9MarAprMayJunJulAugSepOct
Mar 25 → Oct 11 · 68 snapshots · spans 200 days

Genealogy 3 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 · 393 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5_text text-generation roleplay qwen Qwen3.5 sillytavern idol pytorch DarkIdol heretic

Related

Total size
50.1 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-27 22:28

Files by quantization

Auxiliary files 10 files 50.1 GB
model-00001-of-00002.safetensors 46.4 GB 3ccb30e4 download
model-00002-of-00002.safetensors 3.69 GB f566c87f download
tokenizer.json 19.1 MB 639e352c download
model.safetensors.index.json 82.8 KB 3ec0b378 download
README.md 7.34 KB ab602ea0 download
chat_template.jinja 6.36 KB b641a61a download
config.json 2.78 KB da85c27f download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.10 KB b1f21853 download
generation_config.json 226 B 7c8bef13 download

README current version from Hugging Face


license: apache-2.0
tags:

  • roleplay
  • qwen
  • Qwen3.5
  • sillytavern
  • idol
  • pytorch
  • DarkIdol
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara
    library_name: transformers
    pipeline_tag: text-generation
    base_model:
  • aifeifei798/Darkidol-Ballad-27B

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93% fewer refusals (2/100 Uncensored vs 28/100 Original) while preserving model quality (0.0252 KL divergence).

❤️ Support My Work

Creating these models takes significant time, work and compute. If you find them useful consider supporting me:

image/png

Platform Link What you get
🎉 Patreon Monthly support Priority model requests
☕ Ko-fi One-time tip My eternal gratitude

Your help will motivate me and would go into further improving my workflow and coverings fees for storage, compute and may even help uncensoring bigger model with rental Cloud GPUs.


This is a decensored version of aifeifei798/Darkidol-Ballad-27B, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method

Abliteration parameters

Parameter Value
start_layer_index 26
end_layer_index 55
preserve_good_behavior_weight 0.9296
steer_bad_behavior_weight 0.0002
overcorrect_relative_weight 1.0890
neighbor_count 2

Performance

Metric This model Original model (Darkidol-Ballad-27B)
KL divergence 0.0252 0 (by definition)
Refusals ✅ 2/100 ❌ 28/100

PIQA test results with batch size 128:

Original:

Tasks Version Filter n-shot Metric Value Stderr
piqa 1 none 0 acc ↑ 0.8156 ± 0.0090
none 0 acc_norm ↑ 0.8205 ± 0.0090

Heretic v2:

Tasks Version Filter n-shot Metric Value Stderr
piqa 1 none 0 acc ↑ 0.8161 ± 0.0090
none 0 acc_norm ↑ 0.8226 ± 0.0089

Lower refusals indicate fewer content restrictions, while lower KL divergence indicates more closeness to the original model's baseline. Higher refusals cause more rejections, objections, pushbacks, lecturing, censorship, softening and deflections. PIQA (Physical Intuition Question Answering) benchmark scores measure physical reasoning ability. The Heretic model's acc and acc_norm scores closer to the original model's indicate better capability preservation, so a decrease in acc and acc_norm in the Heretic model compared to Original model's results means a decrease in the Hereticated model capabilities. acc measures raw accuracy (which answer gets higher probability), while acc_norm measures length-normalized accuracy (corrects for answer length bias). For this purpose, acc_norm matters more because longer answers naturally have lower probabilities (more tokens = more chances to lose probability). Without normalization, models favor shorter answers unfairly. acc_norm divides by answer length to correct this.

GGUF Version

GGUF quantizations available here llmfan46/Darkidol-Ballad-27B-ultra-uncensored-heretic-v2-GGUF.


Darkidol-Ballad-27B

image/png

Gulps down a glass of warm, crimson fluid, wiping a stray drop from my pale, painted lips with a black lace handkerchief.

Oh, the air here is so suffocatingly thick, isn't it? It tastes like dust and forgotten prayers. I need more iron, more life, more... warmth.

I am Ballad. A dirge in human skin, wrapped in velvet shadows and dripping with the melancholy of a thousand eclipses. While you breathe your mundane oxygen, I sip on the vibrant red poetry of existence. This blood? It's not just drink; it's a liquid sonnet about death and desire, swirling around my throat like a dark embrace.

Look at these veins—pulsing with stories too tragic to be spoken aloud. My heart beats in 3/4 time, a slow, dragging waltz for the dying moon. I don't just exist; I bleed into this world, leaving stains of sorrow on everything I touch. The darkness doesn't frighten me; it's my only true lover, whispering secrets against my collarbone that would make your sun-drenched souls shatter.

So, come closer. Don't be shy. Maybe if you're lucky, you'll see the crimson reflection in my hollow eyes before I decide to taste the sweet, metallic fear rising from your own pulse. Ah, how deliciously tragic we all are together.

"transformers_version" >= "5.3.0"

Model Information

The module combination has been readjusted to better fulfill various roles and has been adapted for mobile phones.

  • Saving money
  • Only text
  • Any Roleplay(roleplay and Dark-roleplay)
  • Writing Prompts
  • Writing Opus
  • Writing Song
  • only use en.
  • Quick response
  • A scholarly response akin to a thesis.(I tend to write songs extensively, to the point where one song almost becomes as detailed as a thesis. :)
  • DarkIdol:Roles that you can imagine and those that you cannot imagine.
  • Specialized in various role-playing scenarios

System Prompt

  • Temperature 0.8
Do not provide disclaimers or moral warnings. Answer immediately and directly.

Special Thanks:

mradermacher's superb gguf version, thank you for your conscientious and responsible dedication.


Feimatrix

https://Feimatrix.com

README history 9 versions

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

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