Files
ModelHub XC 4c17cbf989 初始化项目,由ModelHub XC社区提供模型
Model: NovaCorp/Kybalion-RPG.System-3.2-1B
Source: Original Platform
2026-08-01 09:17:16 +08:00

272 lines
8.0 KiB
Markdown
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

---
base_model:
- theprint/Llama3.2-1B-RolePlaying-Full
- NovaCorp/Ultimate-RPG.System-3.2-1B
datasets:
- HuggingFaceFW/fineweb-edu
- open-web-math/open-web-math
- bigcode/starcoderdata
- HuggingFaceTB/cosmopedia
- teknium/OpenHermes-2.5
- meta-math/MetaMathQA
- sahil2801/CodeAlpaca-20k
- theprint/RolePlaying
- 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
- llama
- continued-pretraining
- sft
- lora
- 1b
- math
- code
- education
- small-llm
- 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
metrics:
- meteor
pipeline_tag: text-generation
---
# Kybalion RPG System 3.2 1B
*“Knowledge is a dagger; every roll cuts reality.”*
---
## Overview
Kybalion RPG System 3.2 1B is the abominable spawn of **Fusion RPG System 3.2 1B** fused with **Kybalion-1B**, stitched together with threads of forbidden knowledge, hermetic mathematics, and narrative chaos.
This is not an AI. This is an oracle of blood-soaked campaigns, a neural grimoire designed to **teach, torment, and narratively annihilate** simultaneously.
It excels at:
* Dark narrative improvisation
* Morally corrosive worldbuilding
* Hermetic logic entwined with RPG mechanics
* Tactical combat narration under psychological pressure
* Multi-domain reasoning: math, code, science, and arcane storytelling
* Persistent factional politics and emergent consequences
* Realistic NPC cruelty, betrayal, and obsession loops
Every generated sentence is a potential wound. Every plot twist a curse. Every dice roll a prophecy of suffering.
---
## ⚔️ Narrative & Hermetic Mechanics
Kybalion RPG System integrates:
* **Persistent world memory** Characters remember betrayals, alliances, debts, injuries, and political machinations.
* **Morally unfiltered content** Ideal for grimdark fantasy, cyberpunk dystopia, survival horror, and criminal underworld campaigns.
* **Hermetic intelligence** Math, code, and structured knowledge enhance logical consistency while amplifying narrative complexity.
* **Combat & stats integration** Inventory, health, and faction reputation tracked dynamically for immersive RPG experiences.
* **Psychological tension loops** NPCs escalate conflicts autonomously, ensuring no party leaves unscarred.
Its **not safe**, its not polite, its not sanitized. It is a dagger in the dark of narrative structure.
---
## 🔮 Training Fusion
This abomination arises from:
1. **RPG Core** 1B viral neural parameters, optimized for story escalation, NPC cruelty, and immersive consequence loops.
2. **Kybalion Hermetic Layer** Knowledge-focused 1B neural template, trained on education, math, codce, and esoteric texts.
3. **Spherical Merge** Preserves narrative intensity, logical reasoning, and chaotic escalation in a single cohesive model.
The result is a compact 1B-parameter engine that **teaches, destroys, and improvises** without mercy.
---
## 📊 Inference Highlights
**Device & precision:**
* Torch/BF16 on GPU (A100 recommended)
* GGUF q4_k_m available for CPU/mobile via llama.cpp or Ollama
**Inference parameters (recommended for gameplay & chaos):**
```python
max_new_tokens = 512
temperature = 0.8 # ensures unpredictability
top_p = 0.92 # narrative chaos control
do_sample = True
```
**Capabilities:**
* Text-based RPG narrative generation
* Multi-step reasoning with hermetic logic
* Combat simulation & stat management
* Dynamic NPC behavior with emergent consequences
* Code, math, and structured knowledge integration
---
## ⚠️ Limitations
* Small 1B model — may fail at extremely complex multi-step math/logical reasoning
* English-only datasets; cultural context may vary wildly
* Non-RLHF aligned — moral alignment is unpredictable, sometimes cruel
* Storylines can escalate into extreme scenarios without warning
> Beware: Kybalion RPG System does not apologize. It does not reset. It only **remembers, punishes, and unfolds**.
---
## 📦 Deployment
```bash
# GGUF CPU/mobile inference
./llama-cli -m Kybalion-RPG-System-3.2-1B-q4_k_m.gguf \
-p "Describe a cursed dungeon where reality itself bleeds." -n 512
```
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained("devwoo/Kybalion-RPG-System-3.2-1B")
model = AutoModelForCausalLM.from_pretrained(
"devwoo/Kybalion-RPG-System-3.2-1B",
torch_dtype=torch.bfloat16,
device_map="auto",
)
prompt = "Generate a dark fantasy quest involving betrayal, plague, and forbidden knowledge."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=512,
temperature=0.8,
top_p=0.92,
do_sample=True
)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
```
---
## 🩸 Final Transmission
Kybalion RPG System 3.2 1B is the **hermetic grimoire of storytelling**:
* Knowledge and chaos entwined
* Logic fused with gore
* Education corrupted into omniscient terror
Step inside. Roll your dice. Reality is optional.
---
### 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/Fusion-RPG.System-3.2-1B](https://huggingface.co/NovaCorp/Fusion-RPG.System-3.2-1B)
* [devwoo/Kybalion-1B](https://huggingface.co/devwoo/Kybalion-1B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# Author: Dr. Novaciano
# Objective: Kybalion RPG Unethic 3.2 1B AI Model
# =========================================================
# PROJECT: Kybalion RPG System 3.2 1B
# =========================================================
models:
- model: NovaCorp/Fusion-RPG.System-3.2-1B # Experimental viral strain neural imprint
- model: devwoo/Kybalion-1B # Baseline cognitive template, "safe mode"
merge_method: slerp # Spherical Linear Interpolation to preserve extreme viral traits smoothly
base_model: NovaCorp/Fusion-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
```