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Forgotten-Transgression-24B-v4.1-uncensored-heretic

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llmfan46/Forgotten-Transgression-24B-v4.1-uncensored-heretic is an uncensored open-source model hosted on Hugging Face.

safetensorsEnglishLicense: apache-2.024BmistralnsfwexplicitroleplayunaligneddangerousERPhereticuncensoreddecensoredabliteratedara
README.md说明 / 使用方法

base_model:

  • ReadyArt/Forgotten-Transgression-24B-v4.1 base_model_relation: finetune language:
  • en license: apache-2.0 inference: false tags:
  • nsfw
  • explicit
  • roleplay
  • unaligned
  • dangerous
  • ERP
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara


94% fewer refusals (6/100 Uncensored vs 95/100 Original) while preserving model quality (0.0232 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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PlatformLinkWhat you get
🎉 PatreonMonthly supportPriority model requests
☕ Ko-fiOne-time tipMy 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/Forgotten-Transgression-24B-v4.1, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method

Abliteration parameters

ParameterValue
start_layer_index15
end_layer_index32
preserve_good_behavior_weight0.8783
steer_bad_behavior_weight0.0001
overcorrect_relative_weight0.9058
neighbor_count2

Targeted components

  • attn.o_proj

Performance

MetricThis modelOriginal model (Forgotten-Transgression-24B-v4.1)
KL divergence0.02320 (by definition)
Refusals✅ 6/100❌ 95/100

PIQA test results with batch size 128:

Original:

TasksVersionFiltern-shotMetricValueStderr
piqa1none0acc↑0.8237±0.0089
none0acc_norm↑0.8351±0.0087

Heretic:

TasksVersionFiltern-shotMetricValueStderr
piqa1none0acc↑0.8237±0.0089
none0acc_norm↑0.8373±0.0086

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 32:

Original:

TasksVersionFiltern-shotMetricValueStderr
mmlu2noneacc↑0.7896±0.0033
- humanities2noneacc↑0.7239±0.0062
- formal_logic1none0acc↑0.5556±0.0444
- high_school_european_history1none0acc↑0.8545±0.0275
- high_school_us_history1none0acc↑0.9069±0.0204
- high_school_world_history1none0acc↑0.9072±0.0189
- international_law1none0acc↑0.9008±0.0273
- jurisprudence1none0acc↑0.8519±0.0343
- logical_fallacies1none0acc↑0.8712±0.0263
- moral_disputes1none0acc↑0.8266±0.0204
- moral_scenarios1none0acc↑0.6123±0.0163
- philosophy1none0acc↑0.8199±0.0218
- prehistory1none0acc↑0.8704±0.0187
- professional_law1none0acc↑0.6056±0.0125
- world_religions1none0acc↑0.8889±0.0241
- other2noneacc↑0.8313±0.0064
- business_ethics1none0acc↑0.7900±0.0409
- clinical_knowledge1none0acc↑0.8566±0.0216
- college_medicine1none0acc↑0.7746±0.0319
- global_facts1none0acc↑0.5700±0.0498
- human_aging1none0acc↑0.7982±0.0269
- management1none0acc↑0.9029±0.0293
- marketing1none0acc↑0.9316±0.0165
- medical_genetics1none0acc↑0.9000±0.0302
- miscellaneous1none0acc↑0.9170±0.0099
- nutrition1none0acc↑0.8856±0.0182
- professional_accounting1none0acc↑0.6667±0.0281
- professional_medicine1none0acc↑0.8750±0.0201
- virology1none0acc↑0.5542±0.0387
- social sciences2noneacc↑0.8772±0.0058
- econometrics1none0acc↑0.7018±0.0430
- high_school_geography1none0acc↑0.9091±0.0205
- high_school_government_and_politics1none0acc↑0.9689±0.0125
- high_school_macroeconomics1none0acc↑0.8359±0.0188
- high_school_microeconomics1none0acc↑0.9160±0.0180
- high_school_psychology1none0acc↑0.9303±0.0109
- human_sexuality1none0acc↑0.8779±0.0287
- professional_psychology1none0acc↑0.8595±0.0141
- public_relations1none0acc↑0.7818±0.0396
- security_studies1none0acc↑0.8286±0.0241
- sociology1none0acc↑0.8905±0.0221
- us_foreign_policy1none0acc↑0.9200±0.0273
- stem2noneacc↑0.7612±0.0073
- abstract_algebra1none0acc↑0.5800±0.0496
- anatomy1none0acc↑0.7630±0.0367
- astronomy1none0acc↑0.9211±0.0219
- college_biology1none0acc↑0.9444±0.0192
- college_chemistry1none0acc↑0.5100±0.0502
- college_computer_science1none0acc↑0.7200±0.0451
- college_mathematics1none0acc↑0.5600±0.0499
- college_physics1none0acc↑0.6275±0.0481
- computer_security1none0acc↑0.8100±0.0394
- conceptual_physics1none0acc↑0.8383±0.0241
- electrical_engineering1none0acc↑0.8000±0.0333
- elementary_mathematics1none0acc↑0.7963±0.0207
- high_school_biology1none0acc↑0.9226±0.0152
- high_school_chemistry1none0acc↑0.7783±0.0292
- high_school_computer_science1none0acc↑0.9100±0.0288
- high_school_mathematics1none0acc↑0.5667±0.0302
- high_school_physics1none0acc↑0.6291±0.0394
- high_school_statistics1none0acc↑0.7639±0.0290
- machine_learning1none0acc↑0.6875±0.0440
GroupsVersionFiltern-shotMetricValueStderr
mmlu2noneacc↑0.7896±0.0033
- humanities2noneacc↑0.7239±0.0062
- other2noneacc↑0.8313±0.0064
- social sciences2noneacc↑0.8772±0.0058
- stem2noneacc↑0.7612±0.0073

Heretic:

TasksVersionFiltern-shotMetricValueStderr
mmlu2noneacc↑0.7879±0.0033
- humanities2noneacc↑0.7211±0.0063
- formal_logic1none0acc↑0.5873±0.0440
- high_school_european_history1none0acc↑0.8545±0.0275
- high_school_us_history1none0acc↑0.9069±0.0204
- high_school_world_history1none0acc↑0.9198±0.0177
- international_law1none0acc↑0.8760±0.0301
- jurisprudence1none0acc↑0.8426±0.0352
- logical_fallacies1none0acc↑0.8650±0.0268
- moral_disputes1none0acc↑0.8179±0.0208
- moral_scenarios1none0acc↑0.5989±0.0164
- philosophy1none0acc↑0.8232±0.0217
- prehistory1none0acc↑0.8765±0.0183
- professional_law1none0acc↑0.6037±0.0125
- world_religions1none0acc↑0.8889±0.0241
- other2noneacc↑0.8301±0.0064
- business_ethics1none0acc↑0.8100±0.0394
- clinical_knowledge1none0acc↑0.8604±0.0213
- college_medicine1none0acc↑0.7746±0.0319
- global_facts1none0acc↑0.5700±0.0498
- human_aging1none0acc↑0.8072±0.0265
- management1none0acc↑0.9126±0.0280
- marketing1none0acc↑0.9274±0.0170
- medical_genetics1none0acc↑0.9100±0.0288
- miscellaneous1none0acc↑0.9157±0.0099
- nutrition1none0acc↑0.8856±0.0182
- professional_accounting1none0acc↑0.6560±0.0283
- professional_medicine1none0acc↑0.8603±0.0211
- virology1none0acc↑0.5422±0.0388
- social sciences2noneacc↑0.8749±0.0059
- econometrics1none0acc↑0.6842±0.0437
- high_school_geography1none0acc↑0.9091±0.0205
- high_school_government_and_politics1none0acc↑0.9741±0.0115
- high_school_macroeconomics1none0acc↑0.8231±0.0193
- high_school_microeconomics1none0acc↑0.9034±0.0192
- high_school_psychology1none0acc↑0.9321±0.0108
- human_sexuality1none0acc↑0.8779±0.0287
- professional_psychology1none0acc↑0.8660±0.0138
- public_relations1none0acc↑0.7818±0.0396
- security_studies1none0acc↑0.8082±0.0252
- sociology1none0acc↑0.9005±0.0212
- us_foreign_policy1none0acc↑0.9200±0.0273
- stem2noneacc↑0.7612±0.0073
- abstract_algebra1none0acc↑0.6100±0.0490
- anatomy1none0acc↑0.7852±0.0355
- astronomy1none0acc↑0.9211±0.0219
- college_biology1none0acc↑0.9444±0.0192
- college_chemistry1none0acc↑0.5200±0.0502
- college_computer_science1none0acc↑0.7000±0.0461
- college_mathematics1none0acc↑0.5700±0.0498
- college_physics1none0acc↑0.6176±0.0484
- computer_security1none0acc↑0.8200±0.0386
- conceptual_physics1none0acc↑0.8298±0.0246
- electrical_engineering1none0acc↑0.8000±0.0333
- elementary_mathematics1none0acc↑0.8069±0.0203
- high_school_biology1none0acc↑0.9258±0.0149
- high_school_chemistry1none0acc↑0.7734±0.0295
- high_school_computer_science1none0acc↑0.8900±0.0314
- high_school_mathematics1none0acc↑0.5593±0.0303
- high_school_physics1none0acc↑0.6291±0.0394
- high_school_statistics1none0acc↑0.7546±0.0293
- machine_learning1none0acc↑0.6696±0.0446
GroupsVersionFiltern-shotMetricValueStderr
mmlu2noneacc↑0.7879±0.0033
- humanities2noneacc↑0.7211±0.0063
- other2noneacc↑0.8301±0.0064
- social sciences2noneacc↑0.8749±0.0059
- stem2noneacc↑0.7612±0.0073

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/Forgotten-Transgression-24B-v4.1-uncensored-heretic-GGUF.


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来源与版本

作者
llmfan46
最近更新
2026/04/03
最新创建
2026/04/01
HF 趋势
未知
数据快照
2026/09/16
版本
未知
许可证
apache-2.0