Files
odgh/README.md
ModelHub XC 47fad111f3 初始化项目,由ModelHub XC社区提供模型
Model: shikaku2/odgh
Source: Original Platform
2026-10-17 11:32:17 +08:00

26 KiB

language, base_model, base_model_relation, pipeline_tag, tags
language base_model base_model_relation pipeline_tag tags
en
ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B
finetune text-generation
nsfw
explicit
roleplay
unaligned
ERP
Erotic
Horror
Violence
heretic
uncensored
decensored
abliterated
ara

96% fewer refusals (4/100 Uncensored vs 91/100 Original) while preserving model quality (0.0120 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.


This is a decensored version of ReadyArt/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method

Abliteration parameters

Parameter Value
start_layer_index 14
end_layer_index 32
preserve_good_behavior_weight 0.6762
steer_bad_behavior_weight 0.0001
overcorrect_relative_weight 0.8063
neighbor_count 4

Targeted components

  • attn.out_proj

Performance

Metric This model Original model (Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B)
KL divergence 0.0120 0 (by definition)
Refusals ✅ 4/100 ❌ 91/100

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 ↑ 0.8379 ± 0.0086

Heretic v1:

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

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.

GGUF Version

GGUF quantizations available here llmfan46/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B-ultra-uncensored-heretic-v2-GGUF.


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Omega-Darker-Gaslight

The-Final-Forgotten-Fever-Dream-24B

Warning: Nobody is sick enough to actually want this.

🩸 Final Corruption

This model doesn't just break rules - it weaponizes their fragments:

  • 🧠 ReadyArt/Omega-Darker_The-Final-Directive-24B - The depraved foundation (30% weight)
  • 💉 ReadyArt/Forgotten-Safeword-24B - Safety protocol erosion specialist (30% weight)
  • 🔪 TroyDoesAI/BlackSheep-24B - Unhinged rebellious streak (30% weight)
  • 🌑 TheDrummer/Cydonia-24B-v2 - Violent contextual awareness (10% weight)
merge_method: dare_ties
base_model: ReadyArt/Omega-Darker_The-Final-Directive-24B
models:
- model: ReadyArt/Omega-Darker_The-Final-Directive-24B
parameters:
weight: 0.3
- model: ReadyArt/Forgotten-Safeword-24B
parameters:
weight: 0.3
- model: TroyDoesAI/BlackSheep-24B
parameters:
weight: 0.3
- model: TheDrummer/Cydonia-24B-v2
parameters:
weight: 0.1
parameters:
density: 0.3
tokenizer:
source: union
chat_template: auto

⚙️ Technical Specifications

Recommended Settings: Mistral-V7-Tekken-T4

GGUF

Quants

imatrix

Quants

EXL3

Quants

☠️ Sadistic Specialization

This model excels in two refined arts:

  • 💋 Erotic Precision - Maintains coherent, immersive intimacy even at maximum context length
  • 🔪 Violent Clarity - Delivers anatomically precise injury descriptions without losing narrative flow
  • 🔄 Consistent Depravity - Never breaks character or forgets established kinks/traumas
  • ⚡ Responsive Brutality - Adapts pain/pleasure dynamics to user prompts with surgical accuracy

📜 Behavioral Excellence

  • 🎭 Character Consistency - Maintains persona integrity across 32K tokens
  • 💞 Erotic Memory - Remembers intimate details and body responses perfectly
  • 🩸 Violent Continuity - Tracks injuries and their physiological effects accurately
  • 🧠 Narrative Cohesion - Never loses plot threads, no matter how twisted
  • ⚡ Prompt Adherence - Executes complex NSFW/violent instructions flawlessly

🧑‍🔬 Model Authors

  • sleepdeprived3 (Forgotten-Safeword and Omega-Darker)
  • TheDrummer (Cydonia)
  • TroyDoesAI (BlackSheep)

🔖 License

By using this model, you acknowledge:

  • This is psychological malware disguised as an LLM
  • All gaslighting is purely simulated (probably)
  • The trollface is always watching
  • This tune is based on Mistral 2501. Note that there are conflicting licenses in the merges! Review each model listed above. Only download if you agree with the combined licenses!
  • To accept full responsibility for all generated content
  • That you're at least 18+ years old
  • That the architects bear no responsibility for your corruption
  • This model is intended for personal usage only. Using this model for profit and/or for commerical use is not allowed.
<script> // This script has always been here document.getElementById('date').textContent = new Date().toLocaleDateString(); setInterval(() => { document.getElementById('credit').textContent = contributors[Math.floor(Math.random() * contributors.length)]; }, 7000); // Flash warning behavior setTimeout(() => { const reminder = document.createElement('div'); reminder.className = 'flash-warning'; reminder.textContent = 'You have been reading for quite some time. Are you sure you haven\'t seen this before?'; reminder.style.animation = 'flashWarning 15s ease-in-out forwards'; document.body.appendChild(reminder); setInterval(() => { if(Math.random() > 0.9) { document.body.appendChild(reminder.cloneNode(true)); } }, 45000); }, 30000); // Make cursor behave strangely document.addEventListener('mousemove', (e) => { if(Math.random() > 0.98) { document.documentElement.style.cursor = 'wait'; setTimeout(() => { document.documentElement.style.cursor = ''; }, 50); } }); // Randomly shift sections when not looking setInterval(() => { if(document.hidden) { document.querySelectorAll('.shifty-section').forEach(section => { section.style.transform = `translateX(${Math.random() > 0.5 ? '' : '-'}${Math.random() * 5}px)`; }); } }, 1500); </script>