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