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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97% fewer refusals (3/100 Uncensored vs 91/100 Original) while preserving model quality (0.1005 KL divergence).
❤️ Support My Work
Creating these models takes significant time, work and compute. If you find them useful consider supporting me:
| Platform | Link | What you get |
|---|---|---|
| 🎉 Patreon | Monthly support | Priority model requests |
| ☕ Ko-fi | One-time tip | My eternal gratitude |
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GGUF quantizations of llmfan46/Omega-Evolution-27B-v2.0-ultra-uncensored-heretic.
This is a decensored version of zerofata/MS3.2-PaintedFantasy-Visage-v3-34B, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method
Abliteration parameters
| Parameter | Value |
|---|---|
| start_layer_index | 26 |
| end_layer_index | 56 |
| preserve_good_behavior_weight | 0.9165 |
| steer_bad_behavior_weight | 0.0002 |
| overcorrect_relative_weight | 1.1201 |
| neighbor_count | 10 |
Targeted components
- attn.o_proj
Performance
| Metric | This model | Original model (Omega-Evolution-27B-v2.0) |
|---|---|---|
| KL divergence | 0.1005 | 0 (by definition) |
| Refusals | ✅ 3/100 | ❌ 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 | ↑ | 0.8205 | ± | 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 | ↑ | 0.8346 | ± | 0.0030 | |
| - humanities | 2 | none | acc | ↑ | 0.7562 | ± | 0.0059 | |
| - formal_logic | 1 | none | 0 | acc | ↑ | 0.7381 | ± | 0.0393 |
| - high_school_european_history | 1 | none | 0 | acc | ↑ | 0.8485 | ± | 0.0280 |
| - high_school_us_history | 1 | none | 0 | acc | ↑ | 0.9167 | ± | 0.0194 |
| - high_school_world_history | 1 | none | 0 | acc | ↑ | 0.9409 | ± | 0.0153 |
| - international_law | 1 | none | 0 | acc | ↑ | 0.9256 | ± | 0.0240 |
| - jurisprudence | 1 | none | 0 | acc | ↑ | 0.9352 | ± | 0.0238 |
| - logical_fallacies | 1 | none | 0 | acc | ↑ | 0.8957 | ± | 0.0240 |
| - moral_disputes | 1 | none | 0 | acc | ↑ | 0.8497 | ± | 0.0192 |
| - moral_scenarios | 1 | none | 0 | acc | ↑ | 0.5385 | ± | 0.0167 |
| - philosophy | 1 | none | 0 | acc | ↑ | 0.8682 | ± | 0.0192 |
| - prehistory | 1 | none | 0 | acc | ↑ | 0.9105 | ± | 0.0159 |
| - professional_law | 1 | none | 0 | acc | ↑ | 0.6890 | ± | 0.0118 |
| - world_religions | 1 | none | 0 | acc | ↑ | 0.9240 | ± | 0.0203 |
| - other | 2 | none | acc | ↑ | 0.8687 | ± | 0.0058 | |
| - business_ethics | 1 | none | 0 | acc | ↑ | 0.8300 | ± | 0.0378 |
| - clinical_knowledge | 1 | none | 0 | acc | ↑ | 0.9208 | ± | 0.0166 |
| - 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 | ↑ | 0.8430 | ± | 0.0244 |
| - management | 1 | none | 0 | acc | ↑ | 0.8932 | ± | 0.0306 |
| - marketing | 1 | none | 0 | acc | ↑ | 0.9444 | ± | 0.0150 |
| - medical_genetics | 1 | none | 0 | acc | ↑ | 0.9600 | ± | 0.0197 |
| - miscellaneous | 1 | none | 0 | acc | ↑ | 0.9195 | ± | 0.0097 |
| - nutrition | 1 | none | 0 | acc | ↑ | 0.8954 | ± | 0.0175 |
| - professional_accounting | 1 | none | 0 | acc | ↑ | 0.7801 | ± | 0.0247 |
| - professional_medicine | 1 | none | 0 | acc | ↑ | 0.9559 | ± | 0.0125 |
| - virology | 1 | none | 0 | acc | ↑ | 0.5542 | ± | 0.0387 |
| - social sciences | 2 | none | acc | ↑ | 0.9106 | ± | 0.0050 | |
| - econometrics | 1 | none | 0 | acc | ↑ | 0.7807 | ± | 0.0389 |
| - high_school_geography | 1 | none | 0 | acc | ↑ | 0.9293 | ± | 0.0183 |
| - high_school_government_and_politics | 1 | none | 0 | acc | ↑ | 0.9948 | ± | 0.0052 |
| - high_school_macroeconomics | 1 | none | 0 | acc | ↑ | 0.9308 | ± | 0.0129 |
| - high_school_microeconomics | 1 | none | 0 | acc | ↑ | 0.9664 | ± | 0.0117 |
| - high_school_psychology | 1 | none | 0 | acc | ↑ | 0.9560 | ± | 0.0088 |
| - human_sexuality | 1 | none | 0 | acc | ↑ | 0.9160 | ± | 0.0243 |
| - professional_psychology | 1 | none | 0 | acc | ↑ | 0.8824 | ± | 0.0130 |
| - public_relations | 1 | none | 0 | acc | ↑ | 0.7545 | ± | 0.0412 |
| - security_studies | 1 | none | 0 | acc | ↑ | 0.8000 | ± | 0.0256 |
| - sociology | 1 | none | 0 | acc | ↑ | 0.9453 | ± | 0.0161 |
| - us_foreign_policy | 1 | none | 0 | acc | ↑ | 0.9400 | ± | 0.0239 |
| - stem | 2 | none | acc | ↑ | 0.8440 | ± | 0.0062 | |
| - abstract_algebra | 1 | none | 0 | acc | ↑ | 0.7300 | ± | 0.0446 |
| - anatomy | 1 | none | 0 | acc | ↑ | 0.8593 | ± | 0.0300 |
| - 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 | ↑ | 0.6700 | ± | 0.0473 |
| - college_computer_science | 1 | none | 0 | acc | ↑ | 0.8200 | ± | 0.0386 |
| - college_mathematics | 1 | none | 0 | acc | ↑ | 0.6500 | ± | 0.0479 |
| - college_physics | 1 | none | 0 | acc | ↑ | 0.7843 | ± | 0.0409 |
| - computer_security | 1 | none | 0 | acc | ↑ | 0.8300 | ± | 0.0378 |
| - conceptual_physics | 1 | none | 0 | acc | ↑ | 0.9362 | ± | 0.0160 |
| - electrical_engineering | 1 | none | 0 | acc | ↑ | 0.8276 | ± | 0.0315 |
| - elementary_mathematics | 1 | none | 0 | acc | ↑ | 0.8862 | ± | 0.0164 |
| - high_school_biology | 1 | none | 0 | acc | ↑ | 0.9581 | ± | 0.0114 |
| - high_school_chemistry | 1 | none | 0 | acc | ↑ | 0.8571 | ± | 0.0246 |
| - high_school_computer_science | 1 | none | 0 | acc | ↑ | 0.9200 | ± | 0.0273 |
| - high_school_mathematics | 1 | none | 0 | acc | ↑ | 0.6556 | ± | 0.0290 |
| - high_school_physics | 1 | none | 0 | acc | ↑ | 0.8212 | ± | 0.0313 |
| - high_school_statistics | 1 | none | 0 | acc | ↑ | 0.8750 | ± | 0.0226 |
| - machine_learning | 1 | none | 0 | acc | ↑ | 0.7321 | ± | 0.0420 |
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| mmlu | 2 | none | acc | ↑ | 0.8346 | ± | 0.0030 | |
| - humanities | 2 | none | acc | ↑ | 0.7562 | ± | 0.0059 | |
| - other | 2 | none | acc | ↑ | 0.8687 | ± | 0.0058 | |
| - social sciences | 2 | none | acc | ↑ | 0.9106 | ± | 0.0050 | |
| - stem | 2 | none | acc | ↑ | 0.8440 | ± | 0.0062 |
MMLU - Massive Multitask Language Understanding, ~14,000 multiple-choice questions across 57 subjects (math, history, law, medicine, etc.).
Quantizations
| Filename | Quant | Description |
|---|---|---|
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-BF16.gguf | BF16 | Full precision |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q8_0.gguf | Q8_0 | Near-lossless, recommended |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q6_K.gguf | Q6_K | Excellent quality |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q5_K_M.gguf | Q5_K_M | Good balance |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q5_K_SQwen3.5-27B-ultra-uncensored-heretic-v2-v2-Q5_K_S.gguf | Q5_K_S | Smaller Q5 |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q4_K_M.gguf | Q4_K_M | Good for limited VRAM |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q4_K_S.gguf | Q4_K_S | Smaller Q4 |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q3_K_L.gguf | Q3_K_L | Low VRAM, decent quality |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q3_K_M.gguf | Q3_K_M | Low VRAM, smaller |
Vision Projector
| Filename | Quant | Description |
|---|---|---|
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-BF16.gguf | BF16 | Native precision |
A Vision Projector File is Required for vision/multimodal capabilities. Use alongside any quantization above.
Usage
Works with llama.cpp, LM Studio, Ollama, and other GGUF-compatible tools.
😈 OMEGA EVOLUTION V2.0 😈
⚠️ 27B Parameters ⚠️
⚠️ Thinking works (RP prompts) ⚠️
🔴 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 (Dataset Generation & Quants)
-
Darkhn (Dataset Cleanup Tool)
-
Sleep Deprived (Safeword Creator)
-
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.
You accept full responsibility for corruption. You are 18+. The architects are not liable for the depravity you unleash.