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llmfan46/Forgotten-Abomination-36B-v4.1-uncensored-heretic-GGUF

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
1likes270downloads
Model Card

<div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;"> <h2 style="color: white; margin: 0 0 10px 0;">๐Ÿšจโš ๏ธ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT โš ๏ธ๐Ÿšจ</h2> <p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models unless I can cover the cost of additional storage.<br>I host <b>70+ free models</b> as an independent contributor and this work is unpaid.<br><b>Without your support, no more new models can be uploaded.</b></p> <p style="font-size: 20px; margin: 0;"> <a href="https://patreon.com/LLMfan46" style="color: white; text-decoration: underline;">๐ŸŽ‰ Patreon (Monthly)</a> &nbsp;|&nbsp; <a href="https://ko-fi.com/llmfan46" style="color: white; text-decoration: underline;">โ˜• Ko-fi (One-time)</a> </p> <p style="font-size: 16px; margin: 10px 0 0 0;">Every contribution goes directly toward Hugging Face storage fees to keep models free for everyone.</p> </div>


93% fewer refusals (7/100 Uncensored vs 98/100 Original) while preserving model quality (0.0409 KL divergence).

โค๏ธ Support My Work

Creating these models takes significant time, work and compute. If you find them useful consider supporting me:

<img src="waifu001.webp">

PlatformLinkWhat you get
๐ŸŽ‰ PatreonMonthly supportPriority model requests
โ˜• 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.


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

ParameterValue
start_layer_index11
end_layer_index62
preserve_good_behavior_weight0.6116
steer_bad_behavior_weight0.0001
overcorrect_relative_weight0.8067
neighbor_count6

Targeted components

  • โ€”attn.o_proj

Performance

MetricThis modelOriginal model ([Forgotten-Abomination-36B-v4.1](https://huggingface.co/ReadyArt/Forgotten-Abomination-36B-v4.1))
KL divergence<span style="color:darkgoldenrod">0.0409</span>0 (by definition)
Refusalsโœ… <span style="color:darkgreen">7/100</span>โŒ <span style="color:blue">98/100</span>

PIQA test results with batch size 128:

<span style="color:blue">Original:</span>

TasksVersionFiltern-shotMetricValueStderr
piqa1none0<u>acc</u>โ†‘0.8221ยฑ0.0089
none0<u>acc_norm</u>โ†‘0.8330ยฑ0.0087

<span style="color:darkgreen">Heretic:</span>

TasksVersionFiltern-shotMetricValueStderr
piqa1none0<u>acc</u>โ†‘0.8232ยฑ0.0089
none0<u>acc_norm</u>โ†‘0.8362ยฑ0.0086

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 <u>acc</u> and <u>accnorm</u> scores closer to the original model's indicate better capability preservation, so a decrease in <u>acc</u> and <u>accnorm</u> in the <span style="color:darkgreen">Heretic</span> model compared to <span style="color:blue">Original</span> model's results means a decrease in the Hereticated model capabilities. <u>acc</u> measures raw accuracy (which answer gets higher probability), while <u>accnorm</u> measures length-normalized accuracy (corrects for answer length bias). For this purpose, <u>accnorm</u> matters more because longer answers naturally have lower probabilities (more tokens = more chances to lose probability). Without normalization, models favor shorter answers unfairly. <u>acc_norm</u> divides by answer length to correct this.


Quantizations

FilenameQuantDescription
Forgotten-Abomination-36B-v4.1-uncensored-heretic-BF16.ggufBF16Full precision
Forgotten-Abomination-36B-v4.1-uncensored-heretic-Q8_0.ggufQ8_0Near-lossless, recommended
Forgotten-Abomination-36B-v4.1-uncensored-heretic-v1-Q6_K.ggufQ6_KExcellent quality
Forgotten-Abomination-36B-v4.1-uncensored-heretic-v1-Q5KM.ggufQ5KMGood balance
Forgotten-Abomination-36B-v4.1-uncensored-heretic-v1-Q5KS.ggufQ5KSSmaller Q5
Forgotten-Abomination-36B-v4.1-uncensored-heretic-v1-Q4KM.ggufQ4KMGood for limited VRAM

Usage

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


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<div class="container"> <div class="header"> <h1 class="model-name">Forgotten-Abomination-36B-v4.1</h1> <div class="subtitle">The Abomination Protocol: Now With 30% More Depravity</div> </div>

<div class="waifu-container"> <img src="./waifu2.webp" class="waifu-img" alt="Model Architecture Animation"> </div>

<div class="section"> <h2 class="section-title">๐Ÿ“œ Manifesto</h2> <p>Forgotten-Abomination-36B-v4.1 benefits from the coherence and well rounded roleplay experience of TheDrummer/Skyfall-36B-v2. We've:</p> <ul> <li>๐Ÿ” Re-integrated your favorite V1.2 scenarios (now with better kink distribution)</li> <li>๐Ÿงช Direct-injected the Abomination dataset into the model's neural pathways</li> <li>โš–๏ธ Achieved perfect balance between "oh my" and "oh <em>my</em>"</li> </ul> </div>

<div class="section"> <h2 class="section-title">โš™๏ธ Technical Specs</h2> <div class="progress-bar"> <div class="progress-fill"></div> </div> <p><strong>Recommended Settings:</strong> <a href="https://huggingface.co/sleepdeprived3/Mistral-V7-Tekken-E">Mistral-V7-Tekken-E</a></p> <div class="quant-links"> <div class="link-card"> <h3>EXL2 Collection</h3> <a href="https://huggingface.co/collections/ReadyArt/forgotten-abomination-36b-41-exl2-67dbf62191ad9ad2ec6cba1d">Quantum Entangled Bits โ†’</a> </div> <div class="link-card"> <h3>GGUF Collection</h3> <a href="https://huggingface.co/collections/ReadyArt/forgotten-abomination-36b-41-gguf-67dbf6250811453f6eabf8a7">Giggle-Enabled Units โ†’</a> </div> </div> </div>

<div class="section"> <h2 class="section-title">โš ๏ธ Ethical Considerations</h2> <div class="disclaimer"> <p>This model will:</p> <ul> <li>Generate content that requires industrial-grade brain bleach </li> <li>Void all warranties on your soul </li> <li>Make you question why humanity ever invented electricity</li> </ul> </div> </div>

<div class="section"> <h2 class="section-title">๐Ÿ“œ License Agreement</h2> <p>By using this model, you agree:</p> <ul> <li>That your search history is now a federal case</li> <li>Pay for the exorcist of anyone who reads the logs</li> <li>To pretend this is "for science" while crying in the shower</li> </ul> </div>

<div class="section"> <h2 class="section-title">๐Ÿง  Model Authors</h2> <ul> <li>sleepdeprived3 (Chief Corruption Officer) </li> <li>The voices in your head (Gaslighting is something you made up)</li> </ul> </div>

<div class="section"> <h2 class="section-title">โ˜•๏ธ Drummer made this possible</h2> <ul> <li>Support Drummer <a href="https://ko-fi.com/thedrummer">Kofi</a></li> </ul> </div>

<div class="section"> <h2 class="section-title">๐Ÿ”€ Merge Details</h2> <ul> mergemethod: dareties base_model: ReadyArt/Forgotten-Safeword-36B-4.1 models:

  • โ€”model: ReadyArt/Forgotten-Safeword-36B-4.1 parameters: weight: 0.5 density: 0.35
  • โ€”model: TheDrummer/Skyfall-36B-v2 parameters: weight: 0.5 density: 0.35 parameters: normalize: true int8mask: true temperature: 2.5 tokenizersource: union dtype: bfloat16 chat_template: auto </ul> </div> </div>