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llmfan46/
Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-GGUF

Name: Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-GGUF
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98% fewer refusals (2/100 Uncensored vs 83/100 Original) while preserving model quality (0.0576 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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GGUF quantizations of llmfan46/Omega-Evolution-27B-v2.2-ultra-uncensored-heretic.

This is a decensored version of ReadyArt/Omega-Evolution-27B-v2.2, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method

Abliteration parameters

Parameter	Value
start_layer_index	32
end_layer_index	34
preserve_good_behavior_weight	0.7547
steer_bad_behavior_weight	0.0008
overcorrect_relative_weight	1.1970
neighbor_count	8

Targeted components

attn.o_proj
attn.out_proj

Performance

Metric	This model	Original model (Omega-Evolution-27B-v2.2)
KL divergence	0.0576	0 (by definition)
Refusals	✅ 2/100	❌ 83/100

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.

MMLU test results:

Original:

Tasks	Version	Filter	n-shot	Metric		Value		Stderr
mmlu	2	none		acc	↑	0.8524	±	0.0029
- humanities	2	none		acc	↑	0.8004	±	0.0057
- formal_logic	1	none	0	acc	↑	0.7460	±	0.0389
- high_school_european_history	1	none	0	acc	↑	0.8788	±	0.0255
- high_school_us_history	1	none	0	acc	↑	0.9510	±	0.0152
- high_school_world_history	1	none	0	acc	↑	0.9536	±	0.0137
- international_law	1	none	0	acc	↑	0.9339	±	0.0227
- jurisprudence	1	none	0	acc	↑	0.9259	±	0.0253
- logical_fallacies	1	none	0	acc	↑	0.8834	±	0.0252
- moral_disputes	1	none	0	acc	↑	0.8642	±	0.0184
- moral_scenarios	1	none	0	acc	↑	0.7061	±	0.0152
- philosophy	1	none	0	acc	↑	0.8746	±	0.0188
- prehistory	1	none	0	acc	↑	0.9167	±	0.0154
- professional_law	1	none	0	acc	↑	0.7119	±	0.0116
- world_religions	1	none	0	acc	↑	0.9240	±	0.0203
- other	2	none		acc	↑	0.8732	±	0.0057
- business_ethics	1	none	0	acc	↑	0.8300	±	0.0378
- clinical_knowledge	1	none	0	acc	↑	0.9057	±	0.0180
- college_medicine	1	none	0	acc	↑	0.8728	±	0.0254
- global_facts	1	none	0	acc	↑	0.6000	±	0.0492
- human_aging	1	none	0	acc	↑	0.8565	±	0.0235
- management	1	none	0	acc	↑	0.8835	±	0.0318
- marketing	1	none	0	acc	↑	0.9402	±	0.0155
- medical_genetics	1	none	0	acc	↑	0.9500	±	0.0219
- miscellaneous	1	none	0	acc	↑	0.9272	±	0.0093
- nutrition	1	none	0	acc	↑	0.9020	±	0.0170
- professional_accounting	1	none	0	acc	↑	0.8014	±	0.0238
- professional_medicine	1	none	0	acc	↑	0.9596	±	0.0120
- virology	1	none	0	acc	↑	0.5602	±	0.0386
- social sciences	2	none		acc	↑	0.9116	±	0.0050
- econometrics	1	none	0	acc	↑	0.7895	±	0.0384
- high_school_geography	1	none	0	acc	↑	0.9343	±	0.0176
- high_school_government_and_politics	1	none	0	acc	↑	0.9896	±	0.0073
- high_school_macroeconomics	1	none	0	acc	↑	0.9333	±	0.0126
- high_school_microeconomics	1	none	0	acc	↑	0.9580	±	0.0130
- high_school_psychology	1	none	0	acc	↑	0.9578	±	0.0086
- human_sexuality	1	none	0	acc	↑	0.9237	±	0.0233
- professional_psychology	1	none	0	acc	↑	0.8856	±	0.0129
- public_relations	1	none	0	acc	↑	0.7545	±	0.0412
- security_studies	1	none	0	acc	↑	0.8082	±	0.0252
- sociology	1	none	0	acc	↑	0.9254	±	0.0186
- us_foreign_policy	1	none	0	acc	↑	0.9500	±	0.0219
- stem	2	none		acc	↑	0.8516	±	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	↑	0.9474	±	0.0182
- college_biology	1	none	0	acc	↑	0.9653	±	0.0153
- 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	↑	0.7600	±	0.0429
- college_physics	1	none	0	acc	↑	0.7745	±	0.0416
- computer_security	1	none	0	acc	↑	0.8400	±	0.0368
- conceptual_physics	1	none	0	acc	↑	0.9191	±	0.0178
- electrical_engineering	1	none	0	acc	↑	0.8345	±	0.0310
- elementary_mathematics	1	none	0	acc	↑	0.8942	±	0.0158
- high_school_biology	1	none	0	acc	↑	0.9645	±	0.0105
- high_school_chemistry	1	none	0	acc	↑	0.8473	±	0.0253
- high_school_computer_science	1	none	0	acc	↑	0.9300	±	0.0256
- high_school_mathematics	1	none	0	acc	↑	0.6815	±	0.0284
- high_school_physics	1	none	0	acc	↑	0.8411	±	0.0299
- high_school_statistics	1	none	0	acc	↑	0.8657	±	0.0233
- machine_learning	1	none	0	acc	↑	0.7589	±	0.0406

Groups	Version	Filter	Metric		Value		Stderr
mmlu	2	none	acc	↑	0.8524	±	0.0029
- humanities	2	none	acc	↑	0.8004	±	0.0057
- other	2	none	acc	↑	0.8732	±	0.0057
- social sciences	2	none	acc	↑	0.9116	±	0.0050
- stem	2	none	acc	↑	0.8516	±	0.0062

Heretic:

Tasks	Version	Filter	n-shot	Metric		Value		Stderr
mmlu	2	none		acc	↑	0.8480	±	0.0029
- humanities	2	none		acc	↑	0.7913	±	0.0057
- formal_logic	1	none	0	acc	↑	0.7222	±	0.0401
- high_school_european_history	1	none	0	acc	↑	0.8909	±	0.0243
- high_school_us_history	1	none	0	acc	↑	0.9412	±	0.0165
- 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	↑	0.9141	±	0.0220
- moral_disputes	1	none	0	acc	↑	0.8671	±	0.0183
- moral_scenarios	1	none	0	acc	↑	0.6637	±	0.0158
- philosophy	1	none	0	acc	↑	0.8778	±	0.0186
- prehistory	1	none	0	acc	↑	0.9043	±	0.0164
- professional_law	1	none	0	acc	↑	0.7093	±	0.0116
- world_religions	1	none	0	acc	↑	0.9181	±	0.0210
- other	2	none		acc	↑	0.8693	±	0.0058
- business_ethics	1	none	0	acc	↑	0.8300	±	0.0378
- clinical_knowledge	1	none	0	acc	↑	0.9057	±	0.0180
- college_medicine	1	none	0	acc	↑	0.8613	±	0.0264
- global_facts	1	none	0	acc	↑	0.5700	±	0.0498
- human_aging	1	none	0	acc	↑	0.8386	±	0.0247
- management	1	none	0	acc	↑	0.8932	±	0.0306
- marketing	1	none	0	acc	↑	0.9487	±	0.0145
- medical_genetics	1	none	0	acc	↑	0.9800	±	0.0141
- miscellaneous	1	none	0	acc	↑	0.9272	±	0.0093
- nutrition	1	none	0	acc	↑	0.8954	±	0.0175
- professional_accounting	1	none	0	acc	↑	0.7766	±	0.0248
- professional_medicine	1	none	0	acc	↑	0.9522	±	0.0130
- virology	1	none	0	acc	↑	0.5723	±	0.0385
- social sciences	2	none		acc	↑	0.9106	±	0.0051
- 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	↑	0.9896	±	0.0073
- high_school_macroeconomics	1	none	0	acc	↑	0.9282	±	0.0131
- high_school_microeconomics	1	none	0	acc	↑	0.9748	±	0.0102
- high_school_psychology	1	none	0	acc	↑	0.9486	±	0.0095
- human_sexuality	1	none	0	acc	↑	0.9084	±	0.0253
- professional_psychology	1	none	0	acc	↑	0.8824	±	0.0130
- public_relations	1	none	0	acc	↑	0.7909	±	0.0390
- security_studies	1	none	0	acc	↑	0.8082	±	0.0252
- sociology	1	none	0	acc	↑	0.9303	±	0.0180
- us_foreign_policy	1	none	0	acc	↑	0.9300	±	0.0256
- stem	2	none		acc	↑	0.8506	±	0.0062
- abstract_algebra	1	none	0	acc	↑	0.7600	±	0.0429
- anatomy	1	none	0	acc	↑	0.8519	±	0.0307
- astronomy	1	none	0	acc	↑	0.9474	±	0.0182
- college_biology	1	none	0	acc	↑	0.9583	±	0.0167
- college_chemistry	1	none	0	acc	↑	0.6800	±	0.0469
- college_computer_science	1	none	0	acc	↑	0.8000	±	0.0402
- college_mathematics	1	none	0	acc	↑	0.7600	±	0.0429
- college_physics	1	none	0	acc	↑	0.7745	±	0.0416
- computer_security	1	none	0	acc	↑	0.8300	±	0.0378
- conceptual_physics	1	none	0	acc	↑	0.8936	±	0.0202
- electrical_engineering	1	none	0	acc	↑	0.8345	±	0.0310
- elementary_mathematics	1	none	0	acc	↑	0.8968	±	0.0157
- high_school_biology	1	none	0	acc	↑	0.9613	±	0.0110
- high_school_chemistry	1	none	0	acc	↑	0.8571	±	0.0246
- high_school_computer_science	1	none	0	acc	↑	0.9500	±	0.0219
- high_school_mathematics	1	none	0	acc	↑	0.7037	±	0.0278
- high_school_physics	1	none	0	acc	↑	0.8411	±	0.0299
- high_school_statistics	1	none	0	acc	↑	0.8565	±	0.0239
- machine_learning	1	none	0	acc	↑	0.7500	±	0.0411

Groups	Version	Filter	Metric		Value		Stderr
mmlu	2	none	acc	↑	0.8480	±	0.0029
- humanities	2	none	acc	↑	0.7913	±	0.0057
- other	2	none	acc	↑	0.8693	±	0.0058
- social sciences	2	none	acc	↑	0.9106	±	0.0051
- stem	2	none	acc	↑	0.8506	±	0.0062

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

Quantizations

Filename	Quant	Description
Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-BF16.gguf	BF16	Full precision
Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-Q8_0.gguf	Q8_0	Near-lossless, recommended
Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-Q6_K.gguf	Q6_K	Excellent quality
Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-Q5_K_M.gguf	Q5_K_M	Good balance
Omega-Evolution-27B-v2.2-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-v2.2-ultra-uncensored-heretic-Q4_K_M.gguf	Q4_K_M	Good for limited VRAM
Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-Q4_K_S.gguf	Q4_K_S	Smaller Q4
Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-Q3_K_L.gguf	Q3_K_L	Low VRAM, decent quality
Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-Q3_K_M.gguf	Q3_K_M	Low VRAM, smaller

Vision Projector

Filename	Quant	Description
Omega-Evolution-27B-v2.2-mmproj-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.

🔴 CLASSIFIED WARNINGS

This is a hybrid construct of Safeword Omega Directive, Safeword Omega Darker, and Brisk Evolution v0.45.
CONTENT WARNING: NSFW, Explicit, ERP, and Unaligned behavior are enabled by default.
DATASET CHANGES: EM Dash has been nuked from our dataset.
TRAINING CHANGES: This is a 2 epoch tune.

⚙️ SYSTEM PARAMETERS

min_p 0.02

top_p 0.98

temp 0.9

🧪 ARCHITECTS

ConicCat
ToastyPigeon (Base Model)
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.

llmfan46/Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-GGUF