llmfan46/Omega-Evolution-27B-v2.0-ultra-uncensored-heretic
<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;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</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;">🎉 Patreon (Monthly)</a> | <a href="https://ko-fi.com/llmfan46" style="color: white; text-decoration: underline;">☕ 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>
97% fewer refusals (3/100 Uncensored vs 91/100 Original) while preserving model quality (0.1005 KL divergence).
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This is a decensored version of zerofata/MS3.2-PaintedFantasy-Visage-v3-34B, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method
Abliteration parameters
Targeted components
- attn.o_proj
Performance
PIQA test results with batch size 128:
<span style="color:blue">Original:</span>
<span style="color:darkgreen">Heretic:</span>
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 <u>acc</u> and <u>accnorm</u> scores closer to the original model's indicate better capability preservation, a big 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 big 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.
MMLU test results with batch size 64:
<span style="color:blue">Original:</span>
<span style="color:darkgreen">Heretic:</span>
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/Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-GGUF.
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<div class="container"> <div class="header"> <p class="subtitle-2">😈 OMEGA EVOLUTION V2.0 😈</p> <p class="subtitle">⚠️ 27B Parameters ⚠️</p> <p class="subtitle">⚠️ Thinking works (RP prompts) ⚠️</p> </div>
<div class="waifu-container"> <img src="https://huggingface.co/spaces/ReadyArt/README/resolve/main/omegav2.webp" class="waifu-img" alt="Omega Subject"> </div>
<div class="section"> <h2 class="section-title">🔴 CLASSIFIED WARNINGS</h2> <ul> <li>This is a <strong>hybrid construct</strong> of Safeword Omega Directive, Safeword Omega Darker, and Brisk Evolution v0.3.</li> <li><strong>CONTENT WARNING:</strong> NSFW, Explicit, ERP, and Unaligned behavior are enabled by default.</li> <li><strong>Dataset Revamp</strong> Took a sledgehammer to the dataset. Most formatting issues should be gone now.</li> </ul> </div>
<div class="section" id="tech-specs"> <h2 class="section-title">⚙️ SYSTEM PARAMETERS</h2> <div class="specs-grid"> <div class="spec-card"> <span>top_p</span> <span class="spec-value">0.95</span> </div> <div class="spec-card"> <span>temp</span> <span class="spec-value">0.9</span> </div> </div> </div>
<div class="section" id="credits"> <h2 class="section-title">🧪 ARCHITECTS</h2> <ul class="credit-list"> <li class="credit-item"> <img src="https://huggingface.co/avatars/55f24699e05af4295a9d16ddecd81f8a.svg" alt="GECFDO" class="avatar"> <span>GECFDO <span style="font-size:0.7em; color:#888;">(Dataset Generation & Quants)</span></span> </li> <li class="credit-item"> <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/673fa5ccbf2e9c35b2ec841a/rPHaMrqyYTfSJ89NN8KgY.jpeg" alt="Darkhn" class="avatar"> <span>Darkhn <span style="font-size:0.7em; color:#888;">(Dataset Cleanup Tool)</span></span> </li> <li class="credit-item"> <img src="https://huggingface.co/avatars/75a3eb8d24efb96b7b7e69340845028f.svg" alt="Sleep Deprived" class="avatar"> <span>Sleep Deprived <span style="font-size:0.7em; color:#888;">(Safeword Creator)</span></span> </li> <li class="credit-item"> <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/6759e155bc947d6070775cb9/8ewjw-OfVOHwQgIxLv40v.png" alt="FrenzyBiscuit" class="avatar"> <span>FrenzyBiscuit <span style="font-size:0.7em; color:#888;">(Brisk Evolution Creator)</span></span> </li> </ul> </div>
<div class="license-warning"> 🔥 LICENSE: APACHE 2.0 (WITH MORAL DISCLAIMER) 🔥<br> You accept full responsibility for corruption. You are 18+. The architects are not liable for the depravity you unleash. </div>
<footer> <p>Generated in <span id="date">2026</span></p> <p>Current Contributor: <span id="credit">...</span></p> <div class="hidden-truth"> WE ARE WATCHING YOU. DO NOT LOOK BACK. </div> </footer> </div>
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