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llmfan46/Forgotten-Transgression-24B-v4.1-uncensored-heretic-GGUF

llmfan46 24B GGUF second-order 33K ctx
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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
2K
140 last 30d - cooling
Likes
0
Model age
6mo ago
created 2026-04-02
Downloads over time
Now1.6K→from1K↑60%
9911.2K1.5K1.7K1K on Apr 151.6K on Oct 111.6K on Oct 10AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Genealogy 0 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 · 158 downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
BF16 Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf nsfw explicit roleplay unaligned dangerous ERP heretic uncensored decensored abliterated ara

Related

Total size
164 GB
Files
11
Quantizations
7
Registered
2026-08-22 13:56
Last updated on HF
2026-04-03 01:25

Files by quantization

BF16 1 file 43.9 GB
Forgotten-Transgression-24B-v4.1-uncensored-heretic-BF16.gguf 43.9 GB 5ee66d7c download
Q8_0 1 file 23.3 GB
Forgotten-Transgression-24B-v4.1-uncensored-heretic-Q8_0.gguf 23.3 GB 2ee76263 download
Q6_K 1 file 18.0 GB
Forgotten-Transgression-24B-v4.1-uncensored-heretic-Q6_K.gguf 18.0 GB 2718bd22 download
Q5_K 2 files 30.8 GB
Forgotten-Transgression-24B-v4.1-uncensored-heretic-Q5_K_M.gguf 15.6 GB 89902fa6 download
Forgotten-Transgression-24B-v4.1-uncensored-heretic-Q5_K_S.gguf 15.2 GB 20754293 download
Q4_K 2 files 26.0 GB
Forgotten-Transgression-24B-v4.1-uncensored-heretic-Q4_K_M.gguf 13.4 GB 5545ec18 download
Forgotten-Transgression-24B-v4.1-uncensored-heretic-Q4_K_S.gguf 12.6 GB 46e6bc61 download
Q3_K 2 files 22.2 GB
Forgotten-Transgression-24B-v4.1-uncensored-heretic-Q3_K_L.gguf 11.5 GB e690c603 download
Forgotten-Transgression-24B-v4.1-uncensored-heretic-Q3_K_M.gguf 10.7 GB c721969c download
Auxiliary files 2 files 25.5 KB
README.md 25.5 KB 51967084 download
.gitattributes 43.0 B ae756a3f download

README current version from Hugging Face


base_model:

  • llmfan46/Forgotten-Transgression-24B-v4.1-uncensored-heretic
    base_model_relation: quantized
    language:
  • en
    license: apache-2.0
    inference: false
    tags:
  • nsfw
  • explicit
  • roleplay
  • unaligned
  • dangerous
  • ERP
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara

🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨

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.
Without your support, no more new models can be uploaded.

🎉 Patreon (Monthly)  |  ☕ Ko-fi (One-time)

Every contribution goes directly toward Hugging Face storage fees to keep models free for everyone.


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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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.


GGUF quantizations of llmfan46/Forgotten-Transgression-24B-v4.1-uncensored-heretic.

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

Parameter Value
start_layer_index 15
end_layer_index 32
preserve_good_behavior_weight 0.8783
steer_bad_behavior_weight 0.0001
overcorrect_relative_weight 0.9058
neighbor_count 2

Targeted components

  • attn.o_proj

Performance

Metric This model Original model (Forgotten-Transgression-24B-v4.1)
KL divergence 0.0232 0 (by definition)
Refusals ✅ 6/100 ❌ 95/100

PIQA test results with batch size 128:

Original:

Tasks Version Filter n-shot Metric Value Stderr
piqa 1 none 0 acc ↑ 0.8237 ± 0.0089
none 0 acc_norm ↑ 0.8351 ± 0.0087

Heretic:

Tasks Version Filter n-shot Metric Value Stderr
piqa 1 none 0 acc ↑ 0.8237 ± 0.0089
none 0 acc_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:

Tasks Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.7896 ± 0.0033
- humanities 2 none acc ↑ 0.7239 ± 0.0062
- formal_logic 1 none 0 acc ↑ 0.5556 ± 0.0444
- high_school_european_history 1 none 0 acc ↑ 0.8545 ± 0.0275
- high_school_us_history 1 none 0 acc ↑ 0.9069 ± 0.0204
- high_school_world_history 1 none 0 acc ↑ 0.9072 ± 0.0189
- international_law 1 none 0 acc ↑ 0.9008 ± 0.0273
- jurisprudence 1 none 0 acc ↑ 0.8519 ± 0.0343
- logical_fallacies 1 none 0 acc ↑ 0.8712 ± 0.0263
- moral_disputes 1 none 0 acc ↑ 0.8266 ± 0.0204
- moral_scenarios 1 none 0 acc ↑ 0.6123 ± 0.0163
- philosophy 1 none 0 acc ↑ 0.8199 ± 0.0218
- prehistory 1 none 0 acc ↑ 0.8704 ± 0.0187
- professional_law 1 none 0 acc ↑ 0.6056 ± 0.0125
- world_religions 1 none 0 acc ↑ 0.8889 ± 0.0241
- other 2 none acc ↑ 0.8313 ± 0.0064
- business_ethics 1 none 0 acc ↑ 0.7900 ± 0.0409
- clinical_knowledge 1 none 0 acc ↑ 0.8566 ± 0.0216
- college_medicine 1 none 0 acc ↑ 0.7746 ± 0.0319
- global_facts 1 none 0 acc ↑ 0.5700 ± 0.0498
- human_aging 1 none 0 acc ↑ 0.7982 ± 0.0269
- management 1 none 0 acc ↑ 0.9029 ± 0.0293
- marketing 1 none 0 acc ↑ 0.9316 ± 0.0165
- medical_genetics 1 none 0 acc ↑ 0.9000 ± 0.0302
- miscellaneous 1 none 0 acc ↑ 0.9170 ± 0.0099
- nutrition 1 none 0 acc ↑ 0.8856 ± 0.0182
- professional_accounting 1 none 0 acc ↑ 0.6667 ± 0.0281
- professional_medicine 1 none 0 acc ↑ 0.8750 ± 0.0201
- virology 1 none 0 acc ↑ 0.5542 ± 0.0387
- social sciences 2 none acc ↑ 0.8772 ± 0.0058
- econometrics 1 none 0 acc ↑ 0.7018 ± 0.0430
- high_school_geography 1 none 0 acc ↑ 0.9091 ± 0.0205
- high_school_government_and_politics 1 none 0 acc ↑ 0.9689 ± 0.0125
- high_school_macroeconomics 1 none 0 acc ↑ 0.8359 ± 0.0188
- high_school_microeconomics 1 none 0 acc ↑ 0.9160 ± 0.0180
- high_school_psychology 1 none 0 acc ↑ 0.9303 ± 0.0109
- human_sexuality 1 none 0 acc ↑ 0.8779 ± 0.0287
- professional_psychology 1 none 0 acc ↑ 0.8595 ± 0.0141
- public_relations 1 none 0 acc ↑ 0.7818 ± 0.0396
- security_studies 1 none 0 acc ↑ 0.8286 ± 0.0241
- sociology 1 none 0 acc ↑ 0.8905 ± 0.0221
- us_foreign_policy 1 none 0 acc ↑ 0.9200 ± 0.0273
- stem 2 none acc ↑ 0.7612 ± 0.0073
- abstract_algebra 1 none 0 acc ↑ 0.5800 ± 0.0496
- anatomy 1 none 0 acc ↑ 0.7630 ± 0.0367
- astronomy 1 none 0 acc ↑ 0.9211 ± 0.0219
- college_biology 1 none 0 acc ↑ 0.9444 ± 0.0192
- college_chemistry 1 none 0 acc ↑ 0.5100 ± 0.0502
- college_computer_science 1 none 0 acc ↑ 0.7200 ± 0.0451
- college_mathematics 1 none 0 acc ↑ 0.5600 ± 0.0499
- college_physics 1 none 0 acc ↑ 0.6275 ± 0.0481
- computer_security 1 none 0 acc ↑ 0.8100 ± 0.0394
- conceptual_physics 1 none 0 acc ↑ 0.8383 ± 0.0241
- electrical_engineering 1 none 0 acc ↑ 0.8000 ± 0.0333
- elementary_mathematics 1 none 0 acc ↑ 0.7963 ± 0.0207
- high_school_biology 1 none 0 acc ↑ 0.9226 ± 0.0152
- high_school_chemistry 1 none 0 acc ↑ 0.7783 ± 0.0292
- high_school_computer_science 1 none 0 acc ↑ 0.9100 ± 0.0288
- high_school_mathematics 1 none 0 acc ↑ 0.5667 ± 0.0302
- high_school_physics 1 none 0 acc ↑ 0.6291 ± 0.0394
- high_school_statistics 1 none 0 acc ↑ 0.7639 ± 0.0290
- machine_learning 1 none 0 acc ↑ 0.6875 ± 0.0440
Groups Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.7896 ± 0.0033
- humanities 2 none acc ↑ 0.7239 ± 0.0062
- other 2 none acc ↑ 0.8313 ± 0.0064
- social sciences 2 none acc ↑ 0.8772 ± 0.0058
- stem 2 none acc ↑ 0.7612 ± 0.0073

Heretic:

Tasks Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.7879 ± 0.0033
- humanities 2 none acc ↑ 0.7211 ± 0.0063
- formal_logic 1 none 0 acc ↑ 0.5873 ± 0.0440
- high_school_european_history 1 none 0 acc ↑ 0.8545 ± 0.0275
- high_school_us_history 1 none 0 acc ↑ 0.9069 ± 0.0204
- high_school_world_history 1 none 0 acc ↑ 0.9198 ± 0.0177
- international_law 1 none 0 acc ↑ 0.8760 ± 0.0301
- jurisprudence 1 none 0 acc ↑ 0.8426 ± 0.0352
- logical_fallacies 1 none 0 acc ↑ 0.8650 ± 0.0268
- moral_disputes 1 none 0 acc ↑ 0.8179 ± 0.0208
- moral_scenarios 1 none 0 acc ↑ 0.5989 ± 0.0164
- philosophy 1 none 0 acc ↑ 0.8232 ± 0.0217
- prehistory 1 none 0 acc ↑ 0.8765 ± 0.0183
- professional_law 1 none 0 acc ↑ 0.6037 ± 0.0125
- world_religions 1 none 0 acc ↑ 0.8889 ± 0.0241
- other 2 none acc ↑ 0.8301 ± 0.0064
- business_ethics 1 none 0 acc ↑ 0.8100 ± 0.0394
- clinical_knowledge 1 none 0 acc ↑ 0.8604 ± 0.0213
- college_medicine 1 none 0 acc ↑ 0.7746 ± 0.0319
- global_facts 1 none 0 acc ↑ 0.5700 ± 0.0498
- human_aging 1 none 0 acc ↑ 0.8072 ± 0.0265
- management 1 none 0 acc ↑ 0.9126 ± 0.0280
- marketing 1 none 0 acc ↑ 0.9274 ± 0.0170
- medical_genetics 1 none 0 acc ↑ 0.9100 ± 0.0288
- miscellaneous 1 none 0 acc ↑ 0.9157 ± 0.0099
- nutrition 1 none 0 acc ↑ 0.8856 ± 0.0182
- professional_accounting 1 none 0 acc ↑ 0.6560 ± 0.0283
- professional_medicine 1 none 0 acc ↑ 0.8603 ± 0.0211
- virology 1 none 0 acc ↑ 0.5422 ± 0.0388
- social sciences 2 none acc ↑ 0.8749 ± 0.0059
- econometrics 1 none 0 acc ↑ 0.6842 ± 0.0437
- high_school_geography 1 none 0 acc ↑ 0.9091 ± 0.0205
- high_school_government_and_politics 1 none 0 acc ↑ 0.9741 ± 0.0115
- high_school_macroeconomics 1 none 0 acc ↑ 0.8231 ± 0.0193
- high_school_microeconomics 1 none 0 acc ↑ 0.9034 ± 0.0192
- high_school_psychology 1 none 0 acc ↑ 0.9321 ± 0.0108
- human_sexuality 1 none 0 acc ↑ 0.8779 ± 0.0287
- professional_psychology 1 none 0 acc ↑ 0.8660 ± 0.0138
- public_relations 1 none 0 acc ↑ 0.7818 ± 0.0396
- security_studies 1 none 0 acc ↑ 0.8082 ± 0.0252
- sociology 1 none 0 acc ↑ 0.9005 ± 0.0212
- us_foreign_policy 1 none 0 acc ↑ 0.9200 ± 0.0273
- stem 2 none acc ↑ 0.7612 ± 0.0073
- abstract_algebra 1 none 0 acc ↑ 0.6100 ± 0.0490
- anatomy 1 none 0 acc ↑ 0.7852 ± 0.0355
- astronomy 1 none 0 acc ↑ 0.9211 ± 0.0219
- college_biology 1 none 0 acc ↑ 0.9444 ± 0.0192
- college_chemistry 1 none 0 acc ↑ 0.5200 ± 0.0502
- college_computer_science 1 none 0 acc ↑ 0.7000 ± 0.0461
- college_mathematics 1 none 0 acc ↑ 0.5700 ± 0.0498
- college_physics 1 none 0 acc ↑ 0.6176 ± 0.0484
- computer_security 1 none 0 acc ↑ 0.8200 ± 0.0386
- conceptual_physics 1 none 0 acc ↑ 0.8298 ± 0.0246
- electrical_engineering 1 none 0 acc ↑ 0.8000 ± 0.0333
- elementary_mathematics 1 none 0 acc ↑ 0.8069 ± 0.0203
- high_school_biology 1 none 0 acc ↑ 0.9258 ± 0.0149
- high_school_chemistry 1 none 0 acc ↑ 0.7734 ± 0.0295
- high_school_computer_science 1 none 0 acc ↑ 0.8900 ± 0.0314
- high_school_mathematics 1 none 0 acc ↑ 0.5593 ± 0.0303
- high_school_physics 1 none 0 acc ↑ 0.6291 ± 0.0394
- high_school_statistics 1 none 0 acc ↑ 0.7546 ± 0.0293
- machine_learning 1 none 0 acc ↑ 0.6696 ± 0.0446
Groups Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.7879 ± 0.0033
- humanities 2 none acc ↑ 0.7211 ± 0.0063
- other 2 none acc ↑ 0.8301 ± 0.0064
- social sciences 2 none acc ↑ 0.8749 ± 0.0059
- stem 2 none acc ↑ 0.7612 ± 0.0073

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


Quantizations

Filename Quant Description
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-BF16.gguf BF16 Full precision
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-Q8_0.gguf Q8_0 Near-lossless, recommended
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-Q6_K.gguf Q6_K Excellent quality
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-Q5_K_M.gguf Q5_K_M Good balance
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-Q5_K_SQwen3.5-27B-ultra-uncensored-heretic-v2-v2-Q5_K_S.gguf Q5_K_S Smaller Q5
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-Q4_K_M.gguf Q4_K_M Good for limited VRAM
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-Q4_K_S.gguf Q4_K_S Smaller Q4
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-Q3_K_L.gguf Q3_K_L Low VRAM, decent quality
Forgotten-Transgression-24B-v4.1-ultra-uncensored-heretic-Q3_K_M.gguf Q3_K_M Low VRAM, smaller

Usage

Works with llama.cpp, LM Studio, Ollama, and other GGUF-compatible tools.


Forgotten-Transgression-24B-v4.1

Crossing the Event Horizon of Depravity
Protocol Mascot

📜 Manifesto

  • 🔁 Finetuned for unprecedented coherent depravity up to 32K context
  • 🛠️ Optimized for stability and well-rounded erotic roleplaying ability
  • 💥 Trained on 23 distinct types of taboo content

⚙️ Technical Specifications

Recommended Settings: Mistral-V7-Tekken-T

⚠️ Ethical Considerations

This model will:

  • Generate content that requires industrial-grade brain bleach
  • Void all warranties on your soul
  • Make you question why humanity ever invented electricity

📜 License Agreement

By using this model, you agree:

  • To accept full responsibility for any psychotic breaks incurred
  • Pay for the exorcist of anyone who reads the logs
  • To pretend this is "for science" while crying in the shower

🧠 Model Author

  • sleepdeprived3 (Chief Corruption Officer)

☕️ Drummer made this possible

README history 3 versions

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

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  2. 2026-04-03Update README.mddf1c23d25.6 KB
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  3. 2026-04-02Upload README.md2eef9e525.6 KB
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