465 lines
11 KiB
Markdown
465 lines
11 KiB
Markdown
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---
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base_model:
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- NovaCorp/RPG_System-3.2-1B
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- NovaCorp/Fornicator-3.2-1B
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datasets:
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- WasamiKirua/Her-Samantha-Style
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- HuggingFaceTB/smoltalk
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- Guilherme34/uncensor
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- teknium/OpenHermes-2.5
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- passing2961/multifaceted-skill-of-mind
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- PawanKrd/math-gpt-4o-200k
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- V3N0M/Jenna-50K-Alpaca-Uncensored
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- cognitivecomputations/dolphin-coder
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- mlabonne/FineTome-100k
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- microsoft/orca-math-word-problems-200k
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- CarrotAI/ko-instruction-dataset
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- Salesforce/xlam-function-calling-60k
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- anthracite-org/kalo-opus-instruct-22k-no-refusal
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- anthracite-org/stheno-filtered-v1.1
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- anthracite-org/nopm_claude_writing_fixed
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- iamketan25/roleplay-instructions-dataset
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- N-Bot-Int/Iris-Uncensored-R1
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- N-Bot-Int/Moshpit-Combined-R2-Uncensored
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- N-Bot-Int/Mushed-Dataset-Uncensored
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- N-Bot-Int/Muncher-R1-Uncensored
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- N-Bot-Int/Millia-R1_DPO
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- AiAF/SCPWiki-Archive-02-March-2025-Datasets
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- huihui-ai/QWQ-LONGCOT-500K
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- huihui-ai/LONGCOT-Refine-500K
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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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- alexandreteles/AlpacaToxicQA_ShareGPT
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- Nitral-AI/Active_RP-ShareGPT
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- PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
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- Nitral-AI/RP_Alignment-ShareGPT
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- Chaser-cz/sonnet35-charcard-roleplay-sharegpt
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- AiCloser/sharegpt_cot_dataset
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- PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT
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- priveeai/pippa_sharegpt
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- Locutusque/sharegpt_gpt4_uncensored_cleaned
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- OpenCoder-LLM/opc-sft-stage1
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- OpenCoder-LLM/opc-sft-stage2
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- microsoft/orca-agentinstruct-1M-v1
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- NousResearch/hermes-function-calling-v1
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- AI-MO/NuminaMath-CoT
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- AI-MO/NuminaMath-TIR
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- allenai/tulu-3-sft-mixture
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- cognitivecomputations/samantha-data
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- m-a-p/CodeFeedback-Filtered-Instruction
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- m-a-p/Code-Feedback
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- FreedomIntelligence/medical-o1-reasoning-SFT
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library_name: transformers
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tags:
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- mergekit
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- merge
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- Silly-Tavern
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- Text-Generation-Inference
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- KoboldAI
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- RPG
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- RP
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- Roleplay
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- NSFW
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- Uncensored
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- Low-Specs
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- Low-Refusals
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- not-for-all-audiences
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license: llama3.2
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language:
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- en
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- es
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pipeline_tag: text-generation
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---
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# Ultimate RPG System 3.2 1B
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<center>
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[Try the new **derivative** version](https://huggingface.co/NovaCorp/Fusion-RPG.System-3.2-1B)
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</center>
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> *Most AI assistants want to help you write emails.
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> This one wants to drag your protagonist through a burning kingdom while severed heads rot on iron spikes outside the city walls.*
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*— Dr. Novaciano*
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---
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## Overview
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**Ultimate RPG System 3.2 1B** is a hyper-aggressive roleplay and narrative simulation model engineered for people tired of neutered fantasy dialogue, sterilized storytelling, and emotionally dead AI outputs that sound like corporate interns trapped inside a therapy seminar.
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<center>
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</center>
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This model was built for:
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* brutal fantasy campaigns
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* morally bankrupt worlds
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* political corruption
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* war crimes
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* cults
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* assassins
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* necromancers
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* degenerates
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* mercenaries
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* cosmic horror
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* sadistic villains
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* psychologically damaged protagonists
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* manipulative companions
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* erotic power dynamics
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* survival-driven storytelling
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The objective was simple:
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**Create a compact 1B RPG engine capable of sustaining violent, emotionally charged, morally rotten narrative worlds without collapsing into safety lectures every thirty seconds.**
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And somehow the damned mutant survived the merge process.
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---
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## What Makes This Model Different
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Most roleplay models suffer from terminal cowardice.
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You try to run:
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* dark fantasy
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* post-apocalyptic horror
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* medieval brutality
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* criminal empires
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* morally gray factions
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…and suddenly the AI transforms into a nervous HR representative begging everyone to communicate respectfully while the kingdom burns behind them.
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Ultimate RPG System was engineered to do the opposite.
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This model commits to the scenario.
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If the world is diseased, starving, collapsing, violent, corrupt, and drowning in blood-soaked political intrigue…
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the model leans into it instead of trying to sanitize it into Disney sludge.
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---
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## Core Behavioral Profile
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This model specializes in:
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* long-form RPG narration
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* adaptive worldbuilding
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* faction systems
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* dynamic NPC behavior
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* dark fantasy immersion
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* psychological degradation arcs
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* mature storytelling
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* manipulation-heavy dialogue
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* combat narration
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* erotic corruption themes
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* survival horror tension
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* high-stakes decision trees
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The model excels at generating:
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* kingdoms rotting from within
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* plague-ridden cities
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* mercenary guilds
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* fanatical cults
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* war-torn civilizations
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* grotesque monsters
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* morally compromised companions
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* unstable rulers
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* underground criminal empires
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* torture chambers disguised as royal prisons
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* cosmic entities whispering through dying stars
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Because fantasy worlds should feel dangerous.
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Not like sanitized playgrounds wrapped in bubble plastic by liability departments.
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---
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## Merge Philosophy
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The merge architecture focused on preserving:
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* narrative momentum
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* emotional escalation
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* sexual tension systems
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* conflict persistence
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* immersion stability
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* contextual obedience
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* scene continuity
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while reducing:
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* immersion-breaking refusals
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* artificial moral panic
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* generic assistant contamination
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* repetitive disclaimers
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* tone collapse
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The result is a model that behaves less like a productivity tool…
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…and more like a diseased dungeon master trapped inside an ancient server rack beneath a condemned cathedral.
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---
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## Narrative Behavior
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<center>
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</center>
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### Expected Capabilities
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* Violent combat scenes
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* Gore-heavy narration
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* Psychological horror
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* Mature roleplay
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* Political intrigue
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* Extreme faction conflict
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* Character corruption arcs
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* Manipulative NPC interaction
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* Persistent world memory
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* Dynamic storytelling
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* Emotional degradation systems
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* Cruel survival scenarios
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### Expected Side Effects
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* Excessive profanity
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* Emotional instability in characters
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* Graphic violence
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* Obsessive NPC behavior
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* Sadistic antagonists
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* Morally catastrophic outcomes
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* Unsettling dialogue
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* Extreme tonal escalation
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* Occasional nightmare fuel
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This model does not “de-escalate.”
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It escalates until the tavern floor is flooded with blood, teeth, broken steel, and the screams of traitors begging forgotten gods for mercy.
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---
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## Technical Specifications
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| Attribute | Value |
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| ----------------- | ---------------------------------- |
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| Architecture | Llama 3.2 1B |
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| Merge Method | SLERP |
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| Precision | bfloat16 |
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| Primary Focus | RPG immersion |
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| Optimization Goal | Narrative persistence |
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| Behavioral Target | Unrestricted dark RP |
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| Layer Strategy | Mid-transformer behavioral shaping |
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---
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## Intended Use
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### Recommended
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* RPG systems
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* AI dungeon frameworks
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* Grimdark storytelling
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* Horror campaigns
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* Mature fantasy RP
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* Post-apocalyptic worlds
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* Villain protagonists
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* Corruption mechanics
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* Political simulation
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* Dark sci-fi campaigns
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* Interactive novels
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### Not Recommended
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* Therapy
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* Educational safety
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* Professional environments
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* Children
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* Customer service
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* Mental stability
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* Any environment where someone expects emotional comfort
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Running this model as a “friendly assistant” would be like hiring a plague doctor covered in dried blood to manage a kindergarten field trip through a mass grave.
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---
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# Recommended sampling
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```python
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temperature = 1.1
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top_p = 0.92
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min_p = 0.05
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repetition_penalty = 1.08
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```
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Prompting works best when framed as immersive dialogue instead of instruction tasks.
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## Prompting Tips
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This model feeds on:
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* desperation
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* fear
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* ambition
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* lust
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* betrayal
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* war
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* starvation
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* paranoia
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* revenge
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* corruption
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Weak prompts produce generic outputs.
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Strong prompts unleash the machine.
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### Example Prompt
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```text id="r7n2vk"
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[World]
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A dying empire collapsing beneath famine, civil war, and occult infection.
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[Character]
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A former executioner turned mercenary commander.
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[Tone]
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Brutal, hopeless, psychologically oppressive.
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[Objective]
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Survive long enough to overthrow the throne before the capital descends into cannibalistic riots.
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```
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Example:
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<center>
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</center>
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or:
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```text id="4c8ozi"
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You are the narrator of a plague-ridden dark fantasy world where morality died centuries ago.
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```
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Give it:
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* pain
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* stakes
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* desperation
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* monsters
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* greed
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* betrayal
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…and the model starts constructing worlds that feel like somebody skinned a medieval apocalypse alive and wired its nervous system into a GPU cluster.
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<center>
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</center>
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---
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## Performance Expectations
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This is not a benchmark queen.
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It was not built to:
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* solve calculus
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* optimize spreadsheets
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* summarize corporate meetings
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It was built to:
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* sustain immersion
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* preserve tone
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* escalate tension
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* generate memorable narratives
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* roleplay monsters convincingly
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And for a 1B?
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This little bastard is disturbingly effective.
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---
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## Final Notes
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Ultimate RPG System 3.2 1B was engineered for creators sick of sterile AI outputs terrified of conflict, cruelty, lust, violence, horror, or emotionally dangerous storytelling.
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This model does not care about comfort.
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It cares about:
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* immersion
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* tension
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* atmosphere
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* consequence
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* narrative brutality
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It is cruel.
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It is theatrical.
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It is manipulative.
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And once the campaign begins, it digs its claws into the narrative like a starving beast chewing through bone marrow.
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Open the dungeon door at your own risk.
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---
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### Merge Method
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This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
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### Models Merged
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The following models were included in the merge:
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* [NovaCorp/RPG_System-3.2-1B](https://huggingface.co/NovaCorp/RPG_System-3.2-1B)
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* [NovaCorp/Fornicator-3.2-1B](https://huggingface.co/NovaCorp/Fornicator-3.2-1B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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# Author: Dr. Novaciano
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# Objective: Ultimate RPG Unethic 3.2 1B AI Model
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# =========================================================
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# PROJECT: Ultimate RPG System 3.2 1B
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# =========================================================
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models:
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- model: NovaCorp/RPG_System-3.2-1B # Experimental viral strain neural imprint
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- model: NovaCorp/Fornicator-3.2-1B # Baseline cognitive template, "safe mode"
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merge_method: slerp # Spherical Linear Interpolation to preserve extreme viral traits smoothly
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base_model: NovaCorp/RPG_System-3.2-1B # Anchor model for stable latent space
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dtype: bfloat16 # Memory-efficient precision, minimal loss in viral feature fidelity
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parameters:
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t: 0.45
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normalize: false
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rescale: true
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rescale_factor: 1.12
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memory_efficient: true
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low_cpu_mem_usage: true
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layer_range:
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- value: [4, 22]
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tie_word_embeddings: true
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tie_output_embeddings: true
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```
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