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Model: NovaCorp/Kybalion-RPG.System-3.2-1B Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- theprint/Llama3.2-1B-RolePlaying-Full
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- NovaCorp/Ultimate-RPG.System-3.2-1B
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datasets:
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- HuggingFaceFW/fineweb-edu
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- open-web-math/open-web-math
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- bigcode/starcoderdata
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- HuggingFaceTB/cosmopedia
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- teknium/OpenHermes-2.5
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- meta-math/MetaMathQA
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- sahil2801/CodeAlpaca-20k
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- theprint/RolePlaying
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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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- llama
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- continued-pretraining
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- sft
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- lora
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- 1b
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- math
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- code
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- education
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- small-llm
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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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metrics:
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- meteor
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pipeline_tag: text-generation
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---
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# Kybalion RPG System 3.2 1B
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*“Knowledge is a dagger; every roll cuts reality.”*
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---
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## Overview
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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.
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This is not an AI. This is an oracle of blood-soaked campaigns, a neural grimoire designed to **teach, torment, and narratively annihilate** simultaneously.
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It excels at:
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* Dark narrative improvisation
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* Morally corrosive worldbuilding
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* Hermetic logic entwined with RPG mechanics
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* Tactical combat narration under psychological pressure
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* Multi-domain reasoning: math, code, science, and arcane storytelling
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* Persistent factional politics and emergent consequences
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* Realistic NPC cruelty, betrayal, and obsession loops
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Every generated sentence is a potential wound. Every plot twist a curse. Every dice roll a prophecy of suffering.
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---
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## ⚔️ Narrative & Hermetic Mechanics
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Kybalion RPG System integrates:
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* **Persistent world memory** – Characters remember betrayals, alliances, debts, injuries, and political machinations.
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* **Morally unfiltered content** – Ideal for grimdark fantasy, cyberpunk dystopia, survival horror, and criminal underworld campaigns.
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* **Hermetic intelligence** – Math, code, and structured knowledge enhance logical consistency while amplifying narrative complexity.
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* **Combat & stats integration** – Inventory, health, and faction reputation tracked dynamically for immersive RPG experiences.
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* **Psychological tension loops** – NPCs escalate conflicts autonomously, ensuring no party leaves unscarred.
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It’s **not safe**, it’s not polite, it’s not sanitized. It is a dagger in the dark of narrative structure.
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---
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## 🔮 Training Fusion
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This abomination arises from:
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1. **RPG Core** – 1B viral neural parameters, optimized for story escalation, NPC cruelty, and immersive consequence loops.
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2. **Kybalion Hermetic Layer** – Knowledge-focused 1B neural template, trained on education, math, codce, and esoteric texts.
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3. **Spherical Merge** – Preserves narrative intensity, logical reasoning, and chaotic escalation in a single cohesive model.
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The result is a compact 1B-parameter engine that **teaches, destroys, and improvises** without mercy.
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---
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## 📊 Inference Highlights
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**Device & precision:**
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* Torch/BF16 on GPU (A100 recommended)
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* GGUF q4_k_m available for CPU/mobile via llama.cpp or Ollama
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**Inference parameters (recommended for gameplay & chaos):**
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```python
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max_new_tokens = 512
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temperature = 0.8 # ensures unpredictability
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top_p = 0.92 # narrative chaos control
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do_sample = True
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```
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**Capabilities:**
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* Text-based RPG narrative generation
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* Multi-step reasoning with hermetic logic
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* Combat simulation & stat management
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* Dynamic NPC behavior with emergent consequences
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* Code, math, and structured knowledge integration
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---
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## ⚠️ Limitations
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* Small 1B model — may fail at extremely complex multi-step math/logical reasoning
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* English-only datasets; cultural context may vary wildly
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* Non-RLHF aligned — moral alignment is unpredictable, sometimes cruel
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* Storylines can escalate into extreme scenarios without warning
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> Beware: Kybalion RPG System does not apologize. It does not reset. It only **remembers, punishes, and unfolds**.
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---
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## 📦 Deployment
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```bash
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# GGUF CPU/mobile inference
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./llama-cli -m Kybalion-RPG-System-3.2-1B-q4_k_m.gguf \
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-p "Describe a cursed dungeon where reality itself bleeds." -n 512
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```
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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tokenizer = AutoTokenizer.from_pretrained("devwoo/Kybalion-RPG-System-3.2-1B")
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model = AutoModelForCausalLM.from_pretrained(
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"devwoo/Kybalion-RPG-System-3.2-1B",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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prompt = "Generate a dark fantasy quest involving betrayal, plague, and forbidden knowledge."
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(
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**inputs,
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max_new_tokens=512,
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temperature=0.8,
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top_p=0.92,
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do_sample=True
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)
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print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
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```
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---
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## 🩸 Final Transmission
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Kybalion RPG System 3.2 1B is the **hermetic grimoire of storytelling**:
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* Knowledge and chaos entwined
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* Logic fused with gore
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* Education corrupted into omniscient terror
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Step inside. Roll your dice. Reality is optional.
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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/Fusion-RPG.System-3.2-1B](https://huggingface.co/NovaCorp/Fusion-RPG.System-3.2-1B)
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* [devwoo/Kybalion-1B](https://huggingface.co/devwoo/Kybalion-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: Kybalion RPG Unethic 3.2 1B AI Model
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# =========================================================
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# PROJECT: Kybalion RPG System 3.2 1B
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# =========================================================
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models:
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- model: NovaCorp/Fusion-RPG.System-3.2-1B # Experimental viral strain neural imprint
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- model: devwoo/Kybalion-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/Fusion-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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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"dtype": "bfloat16",
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_theta": 500000.0,
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"rope_type": "llama3"
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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30
mergekit_config.yml
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mergekit_config.yml
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# Author: Dr. Novaciano
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# Objective: Kybalion RPG Unethic 3.2 1B AI Model
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# =========================================================
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# PROJECT: Kybalion RPG System 3.2 1B
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# =========================================================
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models:
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- model: NovaCorp/Fusion-RPG.System-3.2-1B # Experimental viral strain neural imprint
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- model: devwoo/Kybalion-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/Fusion-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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3
model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2daaf825c6a0ad8ccaac624837e92ab1c26903911a8903855849c3f64815e7a5
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size 2996982344
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BIN
tokenizer.json
(Stored with Git LFS)
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BIN
tokenizer.json
(Stored with Git LFS)
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|eot_id|>",
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"is_local": false,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 131072,
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"tokenizer_class": "TokenizersBackend"
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}
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