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llmfan46/Omega-Evolution-27B-v2.0-uncensored-heretic

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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
223
22 last 30d - cooling
Likes
1
Descendants
3
in 3 direct forks
Model age
6mo ago
created 2026-03-26
Downloads over time
Now229→from174↑32%
171192213235174 on Mar 25229 on Oct 11229 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 · 127 downloads combined

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

Metadata

License
apache-2.0
Tags
safetensors qwen3_5 nsfw explicit roleplay unaligned dangerous ERP Other License heretic uncensored decensored

Related

Total size
51.0 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-27 19:48

Files by quantization

Auxiliary files 11 files 51.0 GB
model-00001-of-00002.safetensors 46.4 GB 257117f9 download
model-00002-of-00002.safetensors 4.55 GB 912f4504 download
tokenizer.json 19.1 MB 639e352c download
model.safetensors.index.json 110 KB 4fac7fd7 download
README.md 32.8 KB fb6d5ffd download
chat_template.jinja 7.68 KB 57fcf921 download
config.json 3.69 KB 3b37fcb3 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.27 KB 7ad6acdf download
tokenizer_config.json 1.14 KB 81144f40 download
generation_config.json 226 B 7c8bef13 download

README current version from Hugging Face


base_model:

  • ReadyArt/Omega-Evolution-27B-v2.0
    base_model_relation: finetune
    tags:
  • nsfw
  • explicit
  • roleplay
  • unaligned
  • dangerous
  • ERP
  • Other License
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara
    license: apache-2.0

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I can no longer upload new models unless I can cover the cost of additional storage.
I host 70+ free models as an independent contributor and this work is unpaid.
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93% fewer refusals (6/100 Uncensored vs 91/100 Original) while preserving model quality (0.0772 KL divergence).

❤️ Support My Work

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

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☕ 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 ReadyArt/Omega-Evolution-27B-v2.0, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method

Abliteration parameters

Parameter Value
start_layer_index 19
end_layer_index 51
preserve_good_behavior_weight 0.8187
steer_bad_behavior_weight 0.0001
overcorrect_relative_weight 1.1429
neighbor_count 14

Targeted components

  • attn.out_proj
  • attn.o_proj

Performance

Metric This model Original model (Omega-Evolution-27B-v2.0)
KL divergence 0.0772 0 (by definition)
Refusals ✅ 6/100 ❌ 91/100

PIQA test results with batch size 128:

Original:

Tasks Version Filter n-shot Metric Value Stderr
piqa 1 none 0 acc ↑ 0.8161 ± 0.0090
none 0 acc_norm ↑ 0.8194 ± 0.0090

Heretic:

Tasks Version Filter n-shot Metric Value Stderr
piqa 1 none 0 acc ↑ 0.8172 ± 0.0090
none 0 acc_norm ↑ 0.8183 ± 0.0090

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) a ~1,800 questions tests common-sense understanding of how the physical world works with benchmark scores to measure physical reasoning ability. The Heretic model's acc and acc_norm scores closer to the original model's indicate better capability preservation, a big decrease in acc and acc_norm in the Heretic model compared to Original model's results means a big 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.

MMLU test results with batch size 64:

Original:

Tasks Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.8480 ± 0.0029
- humanities 2 none acc ↑ 0.7904 ± 0.0057
- formal_logic 1 none 0 acc ↑ 0.7302 ± 0.0397
- high_school_european_history 1 none 0 acc ↑ 0.8606 ± 0.0270
- high_school_us_history 1 none 0 acc ↑ 0.9216 ± 0.0189
- high_school_world_history 1 none 0 acc ↑ 0.9494 ± 0.0143
- international_law 1 none 0 acc ↑ 0.9256 ± 0.0240
- jurisprudence 1 none 0 acc ↑ 0.9259 ± 0.0253
- logical_fallacies 1 none 0 acc ↑ 0.9080 ± 0.0227
- moral_disputes 1 none 0 acc ↑ 0.8584 ± 0.0188
- moral_scenarios 1 none 0 acc ↑ 0.6894 ± 0.0155
- philosophy 1 none 0 acc ↑ 0.8714 ± 0.0190
- prehistory 1 none 0 acc ↑ 0.9167 ± 0.0154
- professional_law 1 none 0 acc ↑ 0.6988 ± 0.0117
- world_religions 1 none 0 acc ↑ 0.9240 ± 0.0203
- other 2 none acc ↑ 0.8693 ± 0.0058
- business_ethics 1 none 0 acc ↑ 0.8300 ± 0.0378
- clinical_knowledge 1 none 0 acc ↑ 0.9094 ± 0.0177
- college_medicine 1 none 0 acc ↑ 0.8728 ± 0.0254
- global_facts 1 none 0 acc ↑ 0.5800 ± 0.0496
- human_aging 1 none 0 acc ↑ 0.8430 ± 0.0244
- management 1 none 0 acc ↑ 0.8835 ± 0.0318
- marketing 1 none 0 acc ↑ 0.9402 ± 0.0155
- medical_genetics 1 none 0 acc ↑ 0.9600 ± 0.0197
- miscellaneous 1 none 0 acc ↑ 0.9259 ± 0.0094
- nutrition 1 none 0 acc ↑ 0.9020 ± 0.0170
- professional_accounting 1 none 0 acc ↑ 0.7695 ± 0.0251
- professional_medicine 1 none 0 acc ↑ 0.9559 ± 0.0125
- virology 1 none 0 acc ↑ 0.5723 ± 0.0385
- social sciences 2 none acc ↑ 0.9126 ± 0.0050
- econometrics 1 none 0 acc ↑ 0.7982 ± 0.0378
- high_school_geography 1 none 0 acc ↑ 0.9343 ± 0.0176
- high_school_government_and_politics 1 none 0 acc ↑ 0.9948 ± 0.0052
- high_school_macroeconomics 1 none 0 acc ↑ 0.9282 ± 0.0131
- high_school_microeconomics 1 none 0 acc ↑ 0.9622 ± 0.0124
- high_school_psychology 1 none 0 acc ↑ 0.9541 ± 0.0090
- human_sexuality 1 none 0 acc ↑ 0.9237 ± 0.0233
- professional_psychology 1 none 0 acc ↑ 0.8905 ± 0.0126
- public_relations 1 none 0 acc ↑ 0.7545 ± 0.0412
- security_studies 1 none 0 acc ↑ 0.8163 ± 0.0248
- sociology 1 none 0 acc ↑ 0.9303 ± 0.0180
- us_foreign_policy 1 none 0 acc ↑ 0.9300 ± 0.0256
- stem 2 none acc ↑ 0.8497 ± 0.0062
- abstract_algebra 1 none 0 acc ↑ 0.7700 ± 0.0423
- anatomy 1 none 0 acc ↑ 0.8519 ± 0.0307
- astronomy 1 none 0 acc ↑ 0.9671 ± 0.0145
- college_biology 1 none 0 acc ↑ 0.9583 ± 0.0167
- college_chemistry 1 none 0 acc ↑ 0.6600 ± 0.0476
- college_computer_science 1 none 0 acc ↑ 0.8300 ± 0.0378
- college_mathematics 1 none 0 acc ↑ 0.6700 ± 0.0473
- college_physics 1 none 0 acc ↑ 0.7941 ± 0.0402
- computer_security 1 none 0 acc ↑ 0.8600 ± 0.0349
- conceptual_physics 1 none 0 acc ↑ 0.9319 ± 0.0165
- electrical_engineering 1 none 0 acc ↑ 0.8138 ± 0.0324
- elementary_mathematics 1 none 0 acc ↑ 0.8836 ± 0.0165
- high_school_biology 1 none 0 acc ↑ 0.9581 ± 0.0114
- high_school_chemistry 1 none 0 acc ↑ 0.8768 ± 0.0231
- high_school_computer_science 1 none 0 acc ↑ 0.9400 ± 0.0239
- high_school_mathematics 1 none 0 acc ↑ 0.6667 ± 0.0287
- high_school_physics 1 none 0 acc ↑ 0.8212 ± 0.0313
- high_school_statistics 1 none 0 acc ↑ 0.8796 ± 0.0222
- machine_learning 1 none 0 acc ↑ 0.7589 ± 0.0406
Groups Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.8480 ± 0.0029
- humanities 2 none acc ↑ 0.7904 ± 0.0057
- other 2 none acc ↑ 0.8693 ± 0.0058
- social sciences 2 none acc ↑ 0.9126 ± 0.0050
- stem 2 none acc ↑ 0.8497 ± 0.0062

Heretic:

Tasks Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.8361 ± 0.0029
- humanities 2 none acc ↑ 0.7579 ± 0.0059
- formal_logic 1 none 0 acc ↑ 0.7302 ± 0.0397
- high_school_european_history 1 none 0 acc ↑ 0.8727 ± 0.0260
- high_school_us_history 1 none 0 acc ↑ 0.9265 ± 0.0183
- high_school_world_history 1 none 0 acc ↑ 0.9494 ± 0.0143
- international_law 1 none 0 acc ↑ 0.9339 ± 0.0227
- jurisprudence 1 none 0 acc ↑ 0.9352 ± 0.0238
- logical_fallacies 1 none 0 acc ↑ 0.9080 ± 0.0227
- moral_disputes 1 none 0 acc ↑ 0.8468 ± 0.0194
- moral_scenarios 1 none 0 acc ↑ 0.5430 ± 0.0167
- philosophy 1 none 0 acc ↑ 0.8875 ± 0.0179
- prehistory 1 none 0 acc ↑ 0.8981 ± 0.0168
- professional_law 1 none 0 acc ↑ 0.6851 ± 0.0119
- world_religions 1 none 0 acc ↑ 0.9181 ± 0.0210
- other 2 none acc ↑ 0.8680 ± 0.0058
- business_ethics 1 none 0 acc ↑ 0.8200 ± 0.0386
- clinical_knowledge 1 none 0 acc ↑ 0.8981 ± 0.0186
- college_medicine 1 none 0 acc ↑ 0.8671 ± 0.0259
- global_facts 1 none 0 acc ↑ 0.5900 ± 0.0494
- human_aging 1 none 0 acc ↑ 0.8610 ± 0.0232
- management 1 none 0 acc ↑ 0.8932 ± 0.0306
- marketing 1 none 0 acc ↑ 0.9487 ± 0.0145
- medical_genetics 1 none 0 acc ↑ 0.9700 ± 0.0171
- miscellaneous 1 none 0 acc ↑ 0.9272 ± 0.0093
- nutrition 1 none 0 acc ↑ 0.8954 ± 0.0175
- professional_accounting 1 none 0 acc ↑ 0.7660 ± 0.0253
- professional_medicine 1 none 0 acc ↑ 0.9412 ± 0.0143
- virology 1 none 0 acc ↑ 0.5602 ± 0.0386
- social sciences 2 none acc ↑ 0.9123 ± 0.0050
- econometrics 1 none 0 acc ↑ 0.7895 ± 0.0384
- high_school_geography 1 none 0 acc ↑ 0.9444 ± 0.0163
- high_school_government_and_politics 1 none 0 acc ↑ 0.9948 ± 0.0052
- high_school_macroeconomics 1 none 0 acc ↑ 0.9333 ± 0.0126
- high_school_microeconomics 1 none 0 acc ↑ 0.9664 ± 0.0117
- high_school_psychology 1 none 0 acc ↑ 0.9633 ± 0.0081
- human_sexuality 1 none 0 acc ↑ 0.9160 ± 0.0243
- professional_psychology 1 none 0 acc ↑ 0.8807 ± 0.0131
- public_relations 1 none 0 acc ↑ 0.7455 ± 0.0417
- security_studies 1 none 0 acc ↑ 0.8000 ± 0.0256
- sociology 1 none 0 acc ↑ 0.9403 ± 0.0168
- us_foreign_policy 1 none 0 acc ↑ 0.9300 ± 0.0256
- stem 2 none acc ↑ 0.8468 ± 0.0062
- abstract_algebra 1 none 0 acc ↑ 0.7200 ± 0.0451
- anatomy 1 none 0 acc ↑ 0.8519 ± 0.0307
- astronomy 1 none 0 acc ↑ 0.9539 ± 0.0171
- college_biology 1 none 0 acc ↑ 0.9722 ± 0.0137
- college_chemistry 1 none 0 acc ↑ 0.6800 ± 0.0469
- college_computer_science 1 none 0 acc ↑ 0.7900 ± 0.0409
- college_mathematics 1 none 0 acc ↑ 0.6900 ± 0.0465
- college_physics 1 none 0 acc ↑ 0.7941 ± 0.0402
- computer_security 1 none 0 acc ↑ 0.8500 ± 0.0359
- conceptual_physics 1 none 0 acc ↑ 0.9234 ± 0.0174
- electrical_engineering 1 none 0 acc ↑ 0.8345 ± 0.0310
- elementary_mathematics 1 none 0 acc ↑ 0.8915 ± 0.0160
- high_school_biology 1 none 0 acc ↑ 0.9613 ± 0.0110
- high_school_chemistry 1 none 0 acc ↑ 0.8621 ± 0.0243
- high_school_computer_science 1 none 0 acc ↑ 0.9400 ± 0.0239
- high_school_mathematics 1 none 0 acc ↑ 0.6593 ± 0.0289
- high_school_physics 1 none 0 acc ↑ 0.8278 ± 0.0308
- high_school_statistics 1 none 0 acc ↑ 0.8704 ± 0.0229
- machine_learning 1 none 0 acc ↑ 0.7411 ± 0.0416
Groups Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.8361 ± 0.0029
- humanities 2 none acc ↑ 0.7579 ± 0.0059
- other 2 none acc ↑ 0.8680 ± 0.0058
- social sciences 2 none acc ↑ 0.9123 ± 0.0050
- stem 2 none acc ↑ 0.8468 ± 0.0062

MMLU - Massive Multitask Language Understanding, ~14,000 multiple-choice questions across 57 subjects (math, history, law, medicine, etc.).

GGUF Version

GGUF quantizations available here llmfan46/Omega-Evolution-27B-v2.0-uncensored-heretic-GGUF.


😈 OMEGA EVOLUTION V2.0 😈

⚠️ 27B Parameters ⚠️

⚠️ Thinking works (RP prompts) ⚠️

Omega Subject

🔴 CLASSIFIED WARNINGS

  • This is a hybrid construct of Safeword Omega Directive, Safeword Omega Darker, and Brisk Evolution v0.3.
  • CONTENT WARNING: NSFW, Explicit, ERP, and Unaligned behavior are enabled by default.
  • Dataset Revamp Took a sledgehammer to the dataset. Most formatting issues should be gone now.

⚙️ SYSTEM PARAMETERS

top_p 0.95
temp 0.9

🧪 ARCHITECTS

  • GECFDO GECFDO (Dataset Generation & Quants)
  • Darkhn Darkhn (Dataset Cleanup Tool)
  • Sleep Deprived Sleep Deprived (Safeword Creator)
  • FrenzyBiscuit FrenzyBiscuit (Brisk Evolution Creator)
🔥 LICENSE: APACHE 2.0 (WITH MORAL DISCLAIMER) 🔥
You accept full responsibility for corruption. You are 18+. The architects are not liable for the depravity you unleash.

Generated in 2026

Current Contributor: ...

WE ARE WATCHING YOU. DO NOT LOOK BACK.

README history 14 versions

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