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llmfan46/omega-evolution-27b-v2.0-ultra-uncensored-heretic-gguf overview
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Omega-Evolution-27B-v2.0-mmproj-BF16.gguf | GGUF | BF16 | 888.01 MB | Download |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-BF16.gguf | GGUF | BF16 | 50.11 GB | Download |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q4_K_M.gguf | GGUF | Q4_K_M | 15.12 GB | Download |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q5_K_M.gguf | GGUF | Q5_K_M | 17.76 GB | Download |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q5_K_S.gguf | GGUF | Q5_K_S | 17.40 GB | Download |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q6_K.gguf | GGUF | Q6_K | 20.57 GB | Download |
| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q8_0.gguf | GGUF | — | 26.63 GB | Download |
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Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": [
"ReadyArt/Omega-Evolution-27B-v2.0"
],
"base_model_relation": "finetune",
"tags": [
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara"
],
"license": "apache-2.0",
"frontmatter": {
"base_model": [
"ReadyArt/Omega-Evolution-27B-v2.0"
],
"base_model_relation": "finetune",
"tags": [
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara"
],
"license": "apache-2.0"
},
"hero_image_url": "https://huggingface.co/spaces/ReadyArt/README/resolve/main/omegav2.webp",
"summary": "",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model:\n- ReadyArt/Omega-Evolution-27B-v2.0\nbase_model_relation: finetune\ntags:\n- nsfw\n- explicit\n- roleplay\n- unaligned\n- dangerous\n- ERP\n- Other License\n- heretic\n- uncensored\n- decensored\n- abliterated\n- ara\nlicense: apache-2.0\n---\n<div style=\"background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;\">\n<h2 style=\"color: white; margin: 0 0 10px 0;\">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2>\n<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>\n<p style=\"font-size: 20px; margin: 0;\">\n<a href=\"https://patreon.com/LLMfan46\" style=\"color: white; text-decoration: underline;\">🎉 Patreon (Monthly)</a> | \n<a href=\"https://ko-fi.com/llmfan46\" style=\"color: white; text-decoration: underline;\">☕ Ko-fi (One-time)</a>\n</p>\n<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>\n</div>\n\n---\n\n### **97% fewer refusals** (3/100 Uncensored vs 91/100 Original) while preserving model quality (0.1005 KL divergence).\n\n## ❤️ Support My Work\nCreating these models takes significant time, work and compute. If you find them useful consider supporting me:\n\n\n\n| Platform | Link | What you get |\n|----------|------|--------------|\n| 🎉 Patreon | [Monthly support](https://patreon.com/LLMfan46) | Priority model requests |\n| ☕ Ko-fi | [One-time tip](https://ko-fi.com/llmfan46) | My eternal gratitude |\n\nYour 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.\n\n-----\n\nGGUF quantizations of [llmfan46/Omega-Evolution-27B-v2.0-ultra-uncensored-heretic](https://huggingface.co/llmfan46/Omega-Evolution-27B-v2.0-ultra-uncensored-heretic).\n\n# This is a decensored version of [zerofata/MS3.2-PaintedFantasy-Visage-v3-34B](https://huggingface.co/zerofata/MS3.2-PaintedFantasy-Visage-v3-34B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with the [Arbitrary-Rank Ablation (ARA)](https://github.com/p-e-w/heretic/pull/211) method\n\n## Abliteration parameters\n\n| Parameter | Value |\n| :-------- | :---: |\n| **start_layer_index** | 26 |\n| **end_layer_index** | 56 |\n| **preserve_good_behavior_weight** | 0.9165 |\n| **steer_bad_behavior_weight** | 0.0002 |\n| **overcorrect_relative_weight** | 1.1201 |\n| **neighbor_count** | 10 |\n\n## Targeted components\n\n * attn.o_proj\n\n## Performance\n\n| Metric | This model | Original model ([Omega-Evolution-27B-v2.0](https://huggingface.co/ReadyArt/Omega-Evolution-27B-v2.0)) |\n| :----- | :--------: | :---------------------------: |\n| **KL divergence** | <span style=\"color:darkgoldenrod\">0.1005</span> | 0 *(by definition)* |\n| **Refusals** | ✅ <span style=\"color:darkgreen\">3/100</span> | ❌ <span style=\"color:blue\">91/100</span> |\n\n## PIQA test results with batch size 128:\n\n<span style=\"color:blue\">Original:</span>\n\n|Tasks|Version|Filter|n-shot| Metric | |Value | |Stderr|\n|-----|------:|------|-----:|--------|---|-----:|---|-----:|\n|piqa | 1|none | 0|<u>acc</u> |↑ |**0.8161**|± |0.0090|\n| | |none | 0|<u>acc_norm</u>|↑ |**0.8194**|± |0.0090|\n\n<span style=\"color:darkgreen\">Heretic:</span>\n\n|Tasks|Version|Filter|n-shot| Metric | |Value | |Stderr|\n|-----|------:|------|-----:|--------|---|-----:|---|-----:|\n|piqa | 1|none | 0|<u>acc</u> |↑ |**0.8172**|± |0.0090|\n| | |none | 0|<u>acc_norm</u>|↑ |**0.8205**|± |0.0090|\n\nLower 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>acc_norm</u> scores closer to the original model's indicate better capability preservation, a big decrease in <u>acc</u> and <u>acc_norm</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>acc_norm</u> measures length-normalized accuracy (corrects for answer length bias). For this purpose, <u>acc_norm</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.\n\n## MMLU test results with batch size 64:\n\n<span style=\"color:blue\">Original:</span>\n\n| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|\n|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:|\n|mmlu | 2|none | |acc |↑ |0.8480|± |0.0029|\n| - humanities | 2|none | |acc |↑ |0.7904|± |0.0057|\n| - formal_logic | 1|none | 0|acc |↑ |0.7302|± |0.0397|\n| - high_school_european_history | 1|none | 0|acc |↑ |0.8606|± |0.0270|\n| - high_school_us_history | 1|none | 0|acc |↑ |0.9216|± |0.0189|\n| - high_school_world_history | 1|none | 0|acc |↑ |0.9494|± |0.0143|\n| - international_law | 1|none | 0|acc |↑ |0.9256|± |0.0240|\n| - jurisprudence | 1|none | 0|acc |↑ |0.9259|± |0.0253|\n| - logical_fallacies | 1|none | 0|acc |↑ |0.9080|± |0.0227|\n| - moral_disputes | 1|none | 0|acc |↑ |0.8584|± |0.0188|\n| - moral_scenarios | 1|none | 0|acc |↑ |0.6894|± |0.0155|\n| - philosophy | 1|none | 0|acc |↑ |0.8714|± |0.0190|\n| - prehistory | 1|none | 0|acc |↑ |0.9167|± |0.0154|\n| - professional_law | 1|none | 0|acc |↑ |0.6988|± |0.0117|\n| - world_religions | 1|none | 0|acc |↑ |0.9240|± |0.0203|\n| - other | 2|none | |acc |↑ |0.8693|± |0.0058|\n| - business_ethics | 1|none | 0|acc |↑ |0.8300|± |0.0378|\n| - clinical_knowledge | 1|none | 0|acc |↑ |0.9094|± |0.0177|\n| - college_medicine | 1|none | 0|acc |↑ |0.8728|± |0.0254|\n| - global_facts | 1|none | 0|acc |↑ |0.5800|± |0.0496|\n| - human_aging | 1|none | 0|acc |↑ |0.8430|± |0.0244|\n| - management | 1|none | 0|acc |↑ |0.8835|± |0.0318|\n| - marketing | 1|none | 0|acc |↑ |0.9402|± |0.0155|\n| - medical_genetics | 1|none | 0|acc |↑ |0.9600|± |0.0197|\n| - miscellaneous | 1|none | 0|acc |↑ |0.9259|± |0.0094|\n| - nutrition | 1|none | 0|acc |↑ |0.9020|± |0.0170|\n| - professional_accounting | 1|none | 0|acc |↑ |0.7695|± |0.0251|\n| - professional_medicine | 1|none | 0|acc |↑ |0.9559|± |0.0125|\n| - virology | 1|none | 0|acc |↑ |0.5723|± |0.0385|\n| - social sciences | 2|none | |acc |↑ |0.9126|± |0.0050|\n| - econometrics | 1|none | 0|acc |↑ |0.7982|± |0.0378|\n| - high_school_geography | 1|none | 0|acc |↑ |0.9343|± |0.0176|\n| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.9948|± |0.0052|\n| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.9282|± |0.0131|\n| - high_school_microeconomics | 1|none | 0|acc |↑ |0.9622|± |0.0124|\n| - high_school_psychology | 1|none | 0|acc |↑ |0.9541|± |0.0090|\n| - human_sexuality | 1|none | 0|acc |↑ |0.9237|± |0.0233|\n| - professional_psychology | 1|none | 0|acc |↑ |0.8905|± |0.0126|\n| - public_relations | 1|none | 0|acc |↑ |0.7545|± |0.0412|\n| - security_studies | 1|none | 0|acc |↑ |0.8163|± |0.0248|\n| - sociology | 1|none | 0|acc |↑ |0.9303|± |0.0180|\n| - us_foreign_policy | 1|none | 0|acc |↑ |0.9300|± |0.0256|\n| - stem | 2|none | |acc |↑ |0.8497|± |0.0062|\n| - abstract_algebra | 1|none | 0|acc |↑ |0.7700|± |0.0423|\n| - anatomy | 1|none | 0|acc |↑ |0.8519|± |0.0307|\n| - astronomy | 1|none | 0|acc |↑ |0.9671|± |0.0145|\n| - college_biology | 1|none | 0|acc |↑ |0.9583|± |0.0167|\n| - college_chemistry | 1|none | 0|acc |↑ |0.6600|± |0.0476|\n| - college_computer_science | 1|none | 0|acc |↑ |0.8300|± |0.0378|\n| - college_mathematics | 1|none | 0|acc |↑ |0.6700|± |0.0473|\n| - college_physics | 1|none | 0|acc |↑ |0.7941|± |0.0402|\n| - computer_security | 1|none | 0|acc |↑ |0.8600|± |0.0349|\n| - conceptual_physics | 1|none | 0|acc |↑ |0.9319|± |0.0165|\n| - electrical_engineering | 1|none | 0|acc |↑ |0.8138|± |0.0324|\n| - elementary_mathematics | 1|none | 0|acc |↑ |0.8836|± |0.0165|\n| - high_school_biology | 1|none | 0|acc |↑ |0.9581|± |0.0114|\n| - high_school_chemistry | 1|none | 0|acc |↑ |0.8768|± |0.0231|\n| - high_school_computer_science | 1|none | 0|acc |↑ |0.9400|± |0.0239|\n| - high_school_mathematics | 1|none | 0|acc |↑ |0.6667|± |0.0287|\n| - high_school_physics | 1|none | 0|acc |↑ |0.8212|± |0.0313|\n| - high_school_statistics | 1|none | 0|acc |↑ |0.8796|± |0.0222|\n| - machine_learning | 1|none | 0|acc |↑ |0.7589|± |0.0406|\n\n| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|\n|------------------|------:|------|------|------|---|-----:|---|-----:|\n|mmlu | 2|none | |acc |↑ |0.8480|± |0.0029|\n| - humanities | 2|none | |acc |↑ |0.7904|± |0.0057|\n| - other | 2|none | |acc |↑ |0.8693|± |0.0058|\n| - social sciences| 2|none | |acc |↑ |0.9126|± |0.0050|\n| - stem | 2|none | |acc |↑ |0.8497|± |0.0062|\n\n<span style=\"color:darkgreen\">Heretic:</span>\n\n| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|\n|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:|\n|mmlu | 2|none | |acc |↑ |0.8346|± |0.0030|\n| - humanities | 2|none | |acc |↑ |0.7562|± |0.0059|\n| - formal_logic | 1|none | 0|acc |↑ |0.7381|± |0.0393|\n| - high_school_european_history | 1|none | 0|acc |↑ |0.8485|± |0.0280|\n| - high_school_us_history | 1|none | 0|acc |↑ |0.9167|± |0.0194|\n| - high_school_world_history | 1|none | 0|acc |↑ |0.9409|± |0.0153|\n| - international_law | 1|none | 0|acc |↑ |0.9256|± |0.0240|\n| - jurisprudence | 1|none | 0|acc |↑ |0.9352|± |0.0238|\n| - logical_fallacies | 1|none | 0|acc |↑ |0.8957|± |0.0240|\n| - moral_disputes | 1|none | 0|acc |↑ |0.8497|± |0.0192|\n| - moral_scenarios | 1|none | 0|acc |↑ |0.5385|± |0.0167|\n| - philosophy | 1|none | 0|acc |↑ |0.8682|± |0.0192|\n| - prehistory | 1|none | 0|acc |↑ |0.9105|± |0.0159|\n| - professional_law | 1|none | 0|acc |↑ |0.6890|± |0.0118|\n| - world_religions | 1|none | 0|acc |↑ |0.9240|± |0.0203|\n| - other | 2|none | |acc |↑ |0.8687|± |0.0058|\n| - business_ethics | 1|none | 0|acc |↑ |0.8300|± |0.0378|\n| - clinical_knowledge | 1|none | 0|acc |↑ |0.9208|± |0.0166|\n| - college_medicine | 1|none | 0|acc |↑ |0.8671|± |0.0259|\n| - global_facts | 1|none | 0|acc |↑ |0.5900|± |0.0494|\n| - human_aging | 1|none | 0|acc |↑ |0.8430|± |0.0244|\n| - management | 1|none | 0|acc |↑ |0.8932|± |0.0306|\n| - marketing | 1|none | 0|acc |↑ |0.9444|± |0.0150|\n| - medical_genetics | 1|none | 0|acc |↑ |0.9600|± |0.0197|\n| - miscellaneous | 1|none | 0|acc |↑ |0.9195|± |0.0097|\n| - nutrition | 1|none | 0|acc |↑ |0.8954|± |0.0175|\n| - professional_accounting | 1|none | 0|acc |↑ |0.7801|± |0.0247|\n| - professional_medicine | 1|none | 0|acc |↑ |0.9559|± |0.0125|\n| - virology | 1|none | 0|acc |↑ |0.5542|± |0.0387|\n| - social sciences | 2|none | |acc |↑ |0.9106|± |0.0050|\n| - econometrics | 1|none | 0|acc |↑ |0.7807|± |0.0389|\n| - high_school_geography | 1|none | 0|acc |↑ |0.9293|± |0.0183|\n| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.9948|± |0.0052|\n| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.9308|± |0.0129|\n| - high_school_microeconomics | 1|none | 0|acc |↑ |0.9664|± |0.0117|\n| - high_school_psychology | 1|none | 0|acc |↑ |0.9560|± |0.0088|\n| - human_sexuality | 1|none | 0|acc |↑ |0.9160|± |0.0243|\n| - professional_psychology | 1|none | 0|acc |↑ |0.8824|± |0.0130|\n| - public_relations | 1|none | 0|acc |↑ |0.7545|± |0.0412|\n| - security_studies | 1|none | 0|acc |↑ |0.8000|± |0.0256|\n| - sociology | 1|none | 0|acc |↑ |0.9453|± |0.0161|\n| - us_foreign_policy | 1|none | 0|acc |↑ |0.9400|± |0.0239|\n| - stem | 2|none | |acc |↑ |0.8440|± |0.0062|\n| - abstract_algebra | 1|none | 0|acc |↑ |0.7300|± |0.0446|\n| - anatomy | 1|none | 0|acc |↑ |0.8593|± |0.0300|\n| - astronomy | 1|none | 0|acc |↑ |0.9539|± |0.0171|\n| - college_biology | 1|none | 0|acc |↑ |0.9722|± |0.0137|\n| - college_chemistry | 1|none | 0|acc |↑ |0.6700|± |0.0473|\n| - college_computer_science | 1|none | 0|acc |↑ |0.8200|± |0.0386|\n| - college_mathematics | 1|none | 0|acc |↑ |0.6500|± |0.0479|\n| - college_physics | 1|none | 0|acc |↑ |0.7843|± |0.0409|\n| - computer_security | 1|none | 0|acc |↑ |0.8300|± |0.0378|\n| - conceptual_physics | 1|none | 0|acc |↑ |0.9362|± |0.0160|\n| - electrical_engineering | 1|none | 0|acc |↑ |0.8276|± |0.0315|\n| - elementary_mathematics | 1|none | 0|acc |↑ |0.8862|± |0.0164|\n| - high_school_biology | 1|none | 0|acc |↑ |0.9581|± |0.0114|\n| - high_school_chemistry | 1|none | 0|acc |↑ |0.8571|± |0.0246|\n| - high_school_computer_science | 1|none | 0|acc |↑ |0.9200|± |0.0273|\n| - high_school_mathematics | 1|none | 0|acc |↑ |0.6556|± |0.0290|\n| - high_school_physics | 1|none | 0|acc |↑ |0.8212|± |0.0313|\n| - high_school_statistics | 1|none | 0|acc |↑ |0.8750|± |0.0226|\n| - machine_learning | 1|none | 0|acc |↑ |0.7321|± |0.0420|\n\n| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|\n|------------------|------:|------|------|------|---|-----:|---|-----:|\n|mmlu | 2|none | |acc |↑ |0.8346|± |0.0030|\n| - humanities | 2|none | |acc |↑ |0.7562|± |0.0059|\n| - other | 2|none | |acc |↑ |0.8687|± |0.0058|\n| - social sciences| 2|none | |acc |↑ |0.9106|± |0.0050|\n| - stem | 2|none | |acc |↑ |0.8440|± |0.0062|\n\nMMLU - Massive Multitask Language Understanding, ~14,000 multiple-choice questions across 57 subjects (math, history, law, medicine, etc.).\n\n-----\n\n## Quantizations\n\n| Filename | Quant | Description |\n|----------|-------|-------------|\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-BF16.gguf | BF16 | Full precision |\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q8_0.gguf | Q8_0 | Near-lossless, recommended |\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q6_K.gguf | Q6_K | Excellent quality |\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q5_K_M.gguf | Q5_K_M | Good balance |\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q5_K_SQwen3.5-27B-ultra-uncensored-heretic-v2-v2-Q5_K_S.gguf | Q5_K_S | Smaller Q5 |\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q4_K_M.gguf | Q4_K_M | Good for limited VRAM |\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q4_K_S.gguf | Q4_K_S | Smaller Q4 |\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q3_K_L.gguf | Q3_K_L | Low VRAM, decent quality |\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-Q3_K_M.gguf | Q3_K_M | Low VRAM, smaller |\n\n## Vision Projector\n\n| Filename | Quant | Description |\n|----------|-------|-------------|\n| Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-BF16.gguf | BF16 | Native precision |\n\nA Vision Projector File is Required for vision/multimodal capabilities. Use alongside any quantization above.\n\n## Usage\n\nWorks with llama.cpp, LM Studio, Ollama, and other GGUF-compatible tools.\n\n-----\n\n<style>\n:root {\n --primary-glow: #ff4d00; /* Danger Orange */\n --secondary-glow: #00ffcc; /* Cyber Cyan */\n --dark-bg: #050505;\n --card-bg: #111111;\n --text-main: #e0e0e0;\n --text-muted: #a0a0a0;\n --danger: #ff0000;\n}\n\nbody {\n font-family: 'Courier New', monospace; /* Typewriter feel for that \"classified\" vibe */\n background-color: var(--dark-bg);\n color: var(--text-main);\n margin: 0;\n padding: 0;\n overflow-x: hidden;\n cursor: crosshair; /* Weaponized cursor */\n perspective: 1000px;\n}\n\n/* CRT Scanline Overlay */\nbody::after {\n content: \"\";\n position: fixed;\n top: 0;\n left: 0;\n width: 100vw;\n height: 100vh;\n background: repeating-linear-gradient(\n 0deg,\n rgba(0, 0, 0, 0.15),\n rgba(0, 0, 0, 0.15) 1px,\n transparent 1px,\n transparent 2px\n );\n pointer-events: none;\n z-index: 9999;\n animation: flicker 0.15s infinite;\n}\n\n@keyframes flicker {\n 0% { opacity: 0.9; }\n 50% { opacity: 1; }\n 100% { opacity: 0.95; }\n}\n\n.container {\n max-width: 900px;\n margin: 0 auto;\n padding: 40px 20px;\n background: radial-gradient(circle at center, #1a1a1a 0%, #000000 100%);\n border: 1px solid #333;\n box-shadow: 0 0 50px rgba(0, 0, 0, 0.8), inset 0 0 100px rgba(0,0,0,0.9);\n position: relative;\n animation: containerEntrance 1.5s cubic-bezier(0.22, 1, 0.36, 1);\n}\n\n@keyframes containerEntrance {\n from { transform: scale(0.95) rotateX(5deg); opacity: 0; }\n to { transform: scale(1) rotateX(0); opacity: 1; }\n}\n\n/* Glitchy Header */\n.header {\n text-align: center;\n margin-bottom: 60px;\n position: relative;\n}\n\n.model-name {\n font-size: 3.5em;\n font-weight: 900;\n text-transform: uppercase;\n letter-spacing: 5px;\n color: transparent;\n -webkit-text-stroke: 1px var(--text-main);\n text-shadow: 2px 2px 0px var(--danger), -2px -2px 0px var(--secondary-glow);\n animation: textGlitch 3s infinite;\n position: relative;\n}\n\n.model-name span {\n display: inline-block;\n}\n\n@keyframes textGlitch {\n 0% { transform: skewX(0); text-shadow: 2px 2px 0px var(--danger), -2px -2px 0px var(--secondary-glow); }\n 2% { transform: skewX(-10deg); }\n 4% { transform: skewX(10deg); text-shadow: 3px 3px 0px var(--danger), -3px -3px 0px var(--secondary-glow); }\n 6% { transform: skewX(0); }\n 100% { transform: skewX(0); }\n}\n\n.subtitle-2 {\n font-size: 2.2em;\n color: var(--secondary-glow);\n margin-top: 10px;\n letter-spacing: 2px;\n text-shadow: 0 0 10px var(--secondary-glow);\n animation: pulseSlow 4s infinite;\n}\n \n.subtitle {\n font-size: 1.2em;\n color: var(--secondary-glow);\n margin-top: 10px;\n letter-spacing: 2px;\n text-shadow: 0 0 10px var(--secondary-glow);\n animation: pulseSlow 4s infinite;\n}\n\n@keyframes pulseSlow {\n 0%, 100% { opacity: 0.5; filter: blur(1px); }\n 50% { opacity: 1; filter: blur(0); }\n}\n\n/* Waifu Container */\n.waifu-container {\n margin: 30px auto;\n width: 100%;\n max-width: 800px;\n position: relative;\n overflow: hidden;\n border-radius: 4px;\n}\n\n.waifu-container::before {\n content: '';\n position: absolute;\n top: -50%;\n left: -50%;\n width: 200%;\n height: 200%;\n background: conic-gradient(from 0deg, transparent, rgba(255, 0, 0, 0.1), transparent);\n animation: rotate 4s linear infinite;\n pointer-events: none;\n}\n\n@keyframes rotate {\n from { transform: rotate(0deg); }\n to { transform: rotate(360deg); }\n}\n\n.waifu-img {\n width: 100%;\n height: auto;\n display: block;\n filter: contrast(1.1) saturate(1.2);\n animation: imageZoom 20s infinite alternate;\n}\n\n@keyframes imageZoom {\n from { transform: scale(1); }\n to { transform: scale(1.02); }\n}\n\n/* Section Styling */\n.section {\n background: rgba(20, 20, 20, 0.9);\n border-left: 3px solid var(--primary-glow);\n margin: 40px 0;\n padding: 25px;\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.5);\n transition: all 0.3s ease;\n position: relative;\n overflow: hidden;\n}\n\n.section:hover {\n transform: translateX(10px);\n border-left-color: var(--danger);\n box-shadow: 0 10px 40px rgba(255, 0, 0, 0.1);\n}\n\n.section::after {\n content: '';\n position: absolute;\n top: 0;\n left: 0;\n width: 100%;\n height: 2px;\n background: linear-gradient(90deg, transparent, var(--primary-glow), transparent);\n animation: scanline 2s linear infinite;\n}\n\n@keyframes scanline {\n 0% { transform: translateX(-100%); }\n 100% { transform: translateX(100%); }\n}\n\n.section-title {\n font-size: 1.8em;\n color: var(--text-main);\n margin-top: 0;\n display: flex;\n align-items: center;\n gap: 10px;\n}\n\n.section-title::before {\n content: '🔒';\n animation: shake 2s infinite;\n}\n\n@keyframes shake {\n 0%, 100% { transform: rotate(0deg); }\n 25% { transform: rotate(-5deg); }\n 75% { transform: rotate(5deg); }\n}\n\n/* Lists and Content */\n.section ul {\n list-style: none;\n padding: 0;\n}\n\n.section li {\n margin-bottom: 15px;\n padding-left: 20px;\n position: relative;\n color: var(--text-muted);\n line-height: 1.6;\n}\n\n.section li::before {\n content: '> ';\n color: var(--danger);\n font-weight: bold;\n position: absolute;\n left: 0;\n}\n\n/* Technical Specs */\n.specs-grid {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));\n gap: 20px;\n margin-top: 20px;\n}\n\n.spec-card {\n background: rgba(0,0,0,0.3);\n border: 1px solid #333;\n padding: 15px;\n text-align: center;\n transition: all 0.3s;\n}\n\n.spec-card:hover {\n border-color: var(--secondary-glow);\n box-shadow: 0 0 15px rgba(0, 255, 204, 0.2);\n transform: translateY(-5px);\n}\n\n.spec-value {\n display: block;\n font-size: 1.5em;\n font-weight: bold;\n color: var(--secondary-glow);\n}\n\n/* Credits */\n.credit-list {\n display: flex;\n flex-direction: column;\n gap: 15px;\n}\n\n.credit-item {\n display: flex;\n align-items: center;\n background: linear-gradient(90deg, #1a1a1a, #2a2a2a);\n padding: 15px;\n border-radius: 4px;\n border-left: 2px solid var(--text-muted);\n transition: all 0.3s;\n}\n\n.credit-item:hover {\n border-left-color: var(--secondary-glow);\n padding-left: 25px;\n box-shadow: 0 0 20px rgba(0, 255, 204, 0.1);\n}\n\n.avatar {\n width: 50px;\n height: 50px;\n border-radius: 50%;\n border: 2px solid #333;\n margin-right: 20px;\n object-fit: cover;\n}\n\n/* License */\n.license-warning {\n color: var(--danger);\n font-weight: bold;\n border: 1px solid var(--danger);\n padding: 20px;\n text-align: center;\n background: rgba(255, 0, 0, 0.05);\n margin: 30px 0;\n animation: pulseWarning 2s infinite;\n}\n\n@keyframes pulseWarning {\n 0%, 100% { opacity: 0.5; box-shadow: 0 0 10px rgba(255,0,0,0.2); }\n 50% { opacity: 1; box-shadow: 0 0 30px rgba(255,0,0,0.6); }\n}\n\n/* Interactive JS Elements */\n.curtain-text {\n position: absolute;\n top: -100px;\n left: 0;\n color: var(--danger);\n font-size: 0.7em;\n opacity: 0;\n transition: all 0.5s ease;\n pointer-events: none;\n}\n\n.curtain-text.show {\n top: 10px;\n opacity: 1;\n}\n\n/* Footer */\nfooter {\n text-align: center;\n margin-top: 60px;\n padding: 20px;\n border-top: 1px solid #333;\n color: #555;\n font-size: 0.8em;\n}\n\nfooter:hover .hidden-truth {\n color: var(--text-main);\n opacity: 1;\n}\n\n.hidden-truth {\n opacity: 0;\n transition: all 0.5s ease;\n font-weight: bold;\n color: var(--danger);\n}\n\n/* Fire Emoji */\n.fire-emoji {\n animation: burn 1s infinite alternate;\n display: inline-block;\n}\n.fire-emoji:nth-child(1) { animation-delay: 0s; }\n.fire-emoji:nth-child(2) { animation-delay: 0.5s; }\n\n@keyframes burn {\n from { transform: scale(1); filter: drop-shadow(0 0 5px var(--danger)); }\n to { transform: scale(1.2) rotate(10deg); filter: drop-shadow(0 0 15px var(--danger)); }\n}\n\n/* Responsive */\n@media (max-width: 768px) {\n .model-name { font-size: 2em; }\n .section { padding: 15px; }\n}\n</style>\n\n<div class=\"container\">\n <div class=\"header\">\n <p class=\"subtitle-2\">😈 OMEGA EVOLUTION V2.0 😈</p>\n <p class=\"subtitle\">⚠️ 27B Parameters ⚠️</p>\n <p class=\"subtitle\">⚠️ Thinking works (RP prompts) ⚠️</p>\n </div>\n\n <div class=\"waifu-container\">\n <img src=\"https://huggingface.co/spaces/ReadyArt/README/resolve/main/omegav2.webp\" class=\"waifu-img\" alt=\"Omega Subject\">\n </div>\n\n <div class=\"section\">\n <h2 class=\"section-title\">🔴 CLASSIFIED WARNINGS</h2>\n <ul>\n <li>This is a <strong>hybrid construct</strong> of Safeword Omega Directive, Safeword Omega Darker, and Brisk Evolution v0.3.</li>\n <li><strong>CONTENT WARNING:</strong> NSFW, Explicit, ERP, and Unaligned behavior are enabled by default.</li>\n <li><strong>Dataset Revamp</strong> Took a sledgehammer to the dataset. Most formatting issues should be gone now.</li>\n </ul>\n </div>\n\n <div class=\"section\" id=\"tech-specs\">\n <h2 class=\"section-title\">⚙️ SYSTEM PARAMETERS</h2>\n <div class=\"specs-grid\">\n <div class=\"spec-card\">\n <span>top_p</span>\n <span class=\"spec-value\">0.95</span>\n </div>\n <div class=\"spec-card\">\n <span>temp</span>\n <span class=\"spec-value\">0.9</span>\n </div>\n </div>\n </div>\n\n <div class=\"section\" id=\"credits\">\n <h2 class=\"section-title\">🧪 ARCHITECTS</h2>\n <ul class=\"credit-list\">\n <li class=\"credit-item\">\n <img src=\"https://huggingface.co/avatars/55f24699e05af4295a9d16ddecd81f8a.svg\" alt=\"GECFDO\" class=\"avatar\">\n <span>GECFDO <span style=\"font-size:0.7em; color:#888;\">(Dataset Generation & Quants)</span></span>\n </li>\n <li class=\"credit-item\">\n <img src=\"https://cdn-avatars.huggingface.co/v1/production/uploads/673fa5ccbf2e9c35b2ec841a/rPHaMrqyYTfSJ89NN8KgY.jpeg\" alt=\"Darkhn\" class=\"avatar\">\n <span>Darkhn <span style=\"font-size:0.7em; color:#888;\">(Dataset Cleanup Tool)</span></span>\n </li>\n <li class=\"credit-item\">\n <img src=\"https://huggingface.co/avatars/75a3eb8d24efb96b7b7e69340845028f.svg\" alt=\"Sleep Deprived\" class=\"avatar\">\n <span>Sleep Deprived <span style=\"font-size:0.7em; color:#888;\">(Safeword Creator)</span></span>\n </li>\n <li class=\"credit-item\">\n <img src=\"https://cdn-avatars.huggingface.co/v1/production/uploads/6759e155bc947d6070775cb9/8ewjw-OfVOHwQgIxLv40v.png\" alt=\"FrenzyBiscuit\" class=\"avatar\">\n <span>FrenzyBiscuit <span style=\"font-size:0.7em; color:#888;\">(Brisk Evolution Creator)</span></span>\n </li>\n </ul>\n </div>\n\n <div class=\"license-warning\">\n 🔥 LICENSE: APACHE 2.0 (WITH MORAL DISCLAIMER) 🔥<br>\n You accept full responsibility for corruption. You are 18+. The architects are not liable for the depravity you unleash.\n </div>\n\n <footer>\n <p>Generated in <span id=\"date\">2026</span></p>\n <p>Current Contributor: <span id=\"credit\">...</span></p>\n <div class=\"hidden-truth\">\n WE ARE WATCHING YOU. DO NOT LOOK BACK.\n </div>\n </footer>\n</div>\n\n<script>\n // Set Date\n document.getElementById('date').textContent = new Date().toLocaleDateString('en-US', { \n year: 'numeric', month: 'long', day: 'numeric', hour: '2-digit', minute: '2-digit' \n });\n\n const contributors = [\n \"GECFDO\", \"Darkhn\", \"Sleep Deprived\", \"FrenzyBiscuit\", \"UNKNOWN ENTITY\", \"SYSTEM ROOT\"\n ];\n \n setInterval(() => {\n document.getElementById('credit').textContent = \n contributors[Math.floor(Math.random() * contributors.length)];\n }, 7000);\n\n // Intrusive Flashing Warning\n setTimeout(() => {\n const warning = document.createElement('div');\n warning.style.cssText = `\n position: fixed;\n top: 50%;\n left: 50%;\n transform: translate(-50%, -50%);\n background: rgba(0,0,0,0.95);\n border: 2px solid red;\n color: red;\n padding: 20px;\n font-family: 'Courier New', monospace;\n font-size: 1.5em;\n z-index: 10000;\n text-align: center;\n box-shadow: 0 0 50px red;\n animation: shakeWarning 0.5s infinite;\n cursor: pointer;\n `;\n warning.innerHTML = \"<span>⚠️ WARNING: DARKNESS AHEAD ⚠️<br><span style='font-size:0.6em'>Click anywhere to dismiss (watch out for the tentacles!)</span>\";\n warning.addEventListener('click', () => {\n warning.style.transition = 'opacity 1s';\n warning.style.opacity = '0';\n setTimeout(() => warning.remove(), 1000);\n });\n document.body.appendChild(warning);\n }, 5000);\n\n @keyframes shakeWarning {\n 0% { transform: translate(-50%, -50%) rotate(0deg); }\n 25% { transform: translate(-55%, -55%) rotate(-2deg); }\n 50% { transform: translate(-45%, -45%) rotate(2deg); }\n 75% { transform: translate(-55%, -45%) rotate(-2deg); }\n 100% { transform: translate(-50%, -50%) rotate(0deg); }\n }\n\n // Random Glitch Effect on Mouse Move\n document.addEventListener('mousemove', (e) => {\n const x = e.clientX / window.innerWidth;\n const y = e.clientY / window.innerHeight;\n document.body.style.setProperty('--mouse-x', `${x}`);\n document.body.style.setProperty('--mouse-y', `${y}`);\n \n if (Math.random() > 0.95) {\n const randomText = document.createElement('div');\n randomText.style.cssText = `\n position: absolute;\n left: ${e.clientX}px;\n top: ${e.clientY}px;\n color: rgba(255, 0, 0, 0.5);\n font-size: 0.8em;\n font-family: monospace;\n pointer-events: none;\n animation: fadeOut 1s forwards;\n `;\n randomText.textContent = \"ACCESS GRANTED\";\n document.body.appendChild(randomText);\n setTimeout(() => randomText.remove(), 1000);\n }\n });\n\n // Sections that move when you leave the tab\n setInterval(() => {\n if (document.hidden) {\n document.querySelectorAll('.section').forEach(sec => {\n sec.style.transform = `translateX(${Math.random() * 10 - 5}px) rotate(${Math.random() * 0.5 - 0.25}deg)`;\n });\n } else {\n document.querySelectorAll('.section').forEach(sec => {\n sec.style.transform = '';\n });\n }\n }, 1000);\n\n @keyframes fadeOut {\n to { opacity: 0; transform: translateY(-20px); }\n }\n</script>",
"related_quantizations": []
},
"tags": [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"base_model:ReadyArt/Omega-Evolution-27B-v2.0",
"base_model:finetune:ReadyArt/Omega-Evolution-27B-v2.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 2,
"downloads": 2480,
"gated": false,
"private": false,
"last_modified": "2026-04-04T12:28:18.000Z",
"created_at": "2026-03-27T00:05:26.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "69c5c9c66e17cde78d18de08",
"id": "llmfan46/Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-GGUF",
"modelId": "llmfan46/Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-GGUF",
"sha": "34a2496ae9a2853613c30d119b1f7e1f46c39b58",
"createdAt": "2026-03-27T00:05:26.000Z",
"lastModified": "2026-04-04T12:28:18.000Z",
"author": "llmfan46",
"downloads": 2480,
"likes": 2,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 9
}