base_model:
- llmfan46/Forgotten-Abomination-36B-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
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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 (7/100 Uncensored vs 98/100 Original) while preserving model quality (0.0409 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 |
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-Abomination-36B-v4.1-uncensored-heretic.
This is a decensored version of ReadyArt/Forgotten-Abomination-36B-v4.1, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method
Abliteration parameters
| Parameter | Value |
|---|---|
| start_layer_index | 11 |
| end_layer_index | 62 |
| preserve_good_behavior_weight | 0.6116 |
| steer_bad_behavior_weight | 0.0001 |
| overcorrect_relative_weight | 0.8067 |
| neighbor_count | 6 |
Targeted components
- attn.o_proj
Performance
| Metric | This model | Original model (Forgotten-Abomination-36B-v4.1) |
|---|---|---|
| KL divergence | 0.0409 | 0 (by definition) |
| Refusals | ✅ 7/100 | ❌ 98/100 |
PIQA test results with batch size 128:
Original:
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| piqa | 1 | none | 0 | acc | ↑ | 0.8221 | ± | 0.0089 |
| none | 0 | acc_norm | ↑ | 0.8330 | ± | 0.0087 |
Heretic:
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| piqa | 1 | none | 0 | acc | ↑ | 0.8232 | ± | 0.0089 |
| none | 0 | acc_norm | ↑ | 0.8362 | ± | 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) benchmark scores measure physical reasoning ability. The Heretic model's acc and acc_norm scores closer to the original model's indicate better capability preservation, so a decrease in acc and acc_norm in the Heretic model compared to Original model's results means a 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.
Quantizations
| Filename | Quant | Description |
|---|---|---|
| Forgotten-Abomination-36B-v4.1-uncensored-heretic-BF16.gguf | BF16 | Full precision |
| Forgotten-Abomination-36B-v4.1-uncensored-heretic-Q8_0.gguf | Q8_0 | Near-lossless, recommended |
| Forgotten-Abomination-36B-v4.1-uncensored-heretic-v1-Q6_K.gguf | Q6_K | Excellent quality |
| Forgotten-Abomination-36B-v4.1-uncensored-heretic-v1-Q5_K_M.gguf | Q5_K_M | Good balance |
| Forgotten-Abomination-36B-v4.1-uncensored-heretic-v1-Q5_K_S.gguf | Q5_K_S | Smaller Q5 |
| Forgotten-Abomination-36B-v4.1-uncensored-heretic-v1-Q4_K_M.gguf | Q4_K_M | Good for limited VRAM |
Usage
Works with llama.cpp, LM Studio, Ollama, and other GGUF-compatible tools.
Forgotten-Abomination-36B-v4.1
📜 Manifesto
Forgotten-Abomination-36B-v4.1 benefits from the coherence and well rounded roleplay experience of TheDrummer/Skyfall-36B-v2. We've:
- 🔁 Re-integrated your favorite V1.2 scenarios (now with better kink distribution)
- 🧪 Direct-injected the Abomination dataset into the model's neural pathways
- ⚖️ Achieved perfect balance between "oh my" and "oh my"
⚙️ Technical Specs
Recommended Settings: Mistral-V7-Tekken-E
EXL2 Collection
Quantum Entangled Bits →GGUF Collection
Giggle-Enabled Units →⚠️ 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:
- That your search history is now a federal case
- Pay for the exorcist of anyone who reads the logs
- To pretend this is "for science" while crying in the shower
🧠 Model Authors
- sleepdeprived3 (Chief Corruption Officer)
- The voices in your head (Gaslighting is something you made up)
☕️ Drummer made this possible
- Support Drummer Kofi
🔀 Merge Details
-
merge_method: dare_ties
base_model: ReadyArt/Forgotten-Safeword-36B-4.1
models:
- model: ReadyArt/Forgotten-Safeword-36B-4.1
parameters:
weight: 0.5
density: 0.35
- model: TheDrummer/Skyfall-36B-v2
parameters:
weight: 0.5
density: 0.35
parameters:
normalize: true
int8_mask: true
temperature: 2.5
tokenizer_source: union
dtype: bfloat16
chat_template: auto