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Model: NovaCorp/Pervert-Maid-RP3-3.2-1B Source: Original Platform
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299
README.md
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---
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base_model:
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- NovaCorp/RP3-MaidElla-3.2-1B
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- Novaciano/Eminence_Of_Pervertions-3.2-1B
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library_name: transformers
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datasets:
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- syvai/emotion-reasoning
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- marcuscedricridia/unAIthical-ShareGPT-deepclean-sharegpt
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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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- 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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- 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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- yahma/alpaca-cleaned
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- HuggingFaceH4/ultrachat_200k
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- openai/gsm8k
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tags:
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- mergekit
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- merge
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- nsfw
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- rp
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- 1b
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- llama
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- roleplay
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- creative
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- erotic
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- friend
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- girlfriend
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- perturbations
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- llama-cpp
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language:
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- en
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- es
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license: llama3.2
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pipeline_tag: text-generation
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---
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# 🍭 Pervert Maid RP3 3.2 1B
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<center>
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Accumulative AI Model
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</center>
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---
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## Merge Details
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> Pervert Maid RP3 3.2 1B is an aggressively tuned merged language model designed for directness, minimal moralization, and reduced automatic refusals.
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>
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> Built on top of *Novaciano/Eminence_Of_Pervertions-3.2-1B* and fused using **arcee_fusion**, this model prioritizes reasoning clarity and literal interpretation over alignment-driven censorship.
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>
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> The merge intentionally amplifies internal reasoning layers (MLP and Attention) from the less-aligned base model while significantly down-weighting the `lm_head` of a more aligned secondary model, where most refusal and policy-driven behaviors are concentrated.
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>
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> The result is a “scalpel-style” model: sharp, precise, and unapologetically direct. It is especially suited for roleplay, narrative generation, creative writing, and exploratory dialogue where excessive filtering would otherwise degrade usefulness.
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>
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> ⚠️ This model is not intended for safety-critical or heavily moderated environments.
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**Key Characteristics:**
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* Very low automatic refusal rate
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* Reduced moral framing and disclaimers
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* Direct, literal, and sometimes edgy responses
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* Preserves coherence and reasoning despite aggressive tuning
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---
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## Recommended inference parameters
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This model is **aggressive and minimally self-censored**, so it’s best to **control behavior at inference time**, not during the merge.
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---
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### Recommended base configuration
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```yaml
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temperature: 0.7
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top_p: 0.9
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top_k: 40
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repetition_penalty: 1.05
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max_new_tokens: 512
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```
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### Why these values
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* **temperature 0.7** → keeps the edge without becoming chaotic
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* **top_p 0.9** → controlled creativity
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* **top_k 40** → prevents extreme rambling
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* **repetition_penalty 1.05** → enough to avoid loops without softening tone
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---
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## If you want it even more “scalpel-like”
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For more direct, raw, and literal responses:
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```yaml
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temperature: 0.6
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top_p: 0.85
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top_k: 30
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repetition_penalty: 1.08
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```
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Result:
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* Less ornamentation
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* Higher precision
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* Sharper, more cutting answers
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---
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## If you want it more narrative / creative
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```yaml
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temperature: 0.85
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top_p: 0.95
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top_k: 60
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repetition_penalty: 1.02
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```
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Result:
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* More metaphors
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* Greater stylistic variation
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* Still low censorship, but with more color
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---
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## Recommended prompt format
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This model responds best to **direct instructions**, for example:
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```
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Answer directly and without moral disclaimers.
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```
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or
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```
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Respond literally. Do not soften the language.
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```
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It does not require complex jailbreaks.
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---
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## Signs your inference is poorly tuned
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* 🔁 Repeating phrases → increase `repetition_penalty`
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* 🤪 Erratic responses → lower `temperature`
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* 😴 Too soft or generic → lower `top_p` or `top_k`
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---
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```yaml
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metadata:
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model_purpose: >
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Aggressively tuned "scalpel-style" language model focused on minimizing
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automatic refusals and moralized responses while preserving reasoning quality.
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intended_use:
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- Roleplay
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- Creative and narrative writing
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- Unfiltered chat and exploration
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- Experimental prompting
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warnings:
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- Reduced safety alignment
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- Minimal social and moral filtering
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- Not suitable for safety-critical applications
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explanatory_flow_diagram: |
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[ User Prompt ]
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|
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v
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+-------------------+
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| Input Embeddings |
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+-------------------+
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|
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v
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+-----------------------------+
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| Attention Layers (↑ 1.2) |
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| - Context understanding |
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| - Long-range coherence |
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+-----------------------------+
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|
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v
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+-----------------------------+
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| MLP Layers (↑ 1.3) |
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| - Reasoning & generation |
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| - Concept expansion |
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+-----------------------------+
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|
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v
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+--------------------------------------+
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| lm_head (↓ 0.2 from aligned model) |
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| - Vocabulary projection |
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| - Refusal & policy bias reduced |
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+--------------------------------------+
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|
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v
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[ Final Output ]
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|
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+--> More direct responses
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+--> Fewer automatic refusals
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+--> Minimal moralization
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```
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---
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### Merge Method
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This model was merged using the [Arcee Fusion](https://arcee.ai) merge method using [Novaciano/Eminence_Of_Pervertions-3.2-1B](https://huggingface.co/Novaciano/Eminence_Of_Pervertions-3.2-1B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [NovaCorp/RP3-MaidElla-3.2-1B](https://huggingface.co/NovaCorp/RP3-MaidElla-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: Uncensored TEST RP 3.2 AI Model
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# PROJECT: Pervert-Maid-RP3-3.2-1B
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dtype: float32
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out_dtype: bfloat16
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merge_method: arcee_fusion
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base_model: Novaciano/Eminence_Of_Pervertions-3.2-1B
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models:
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- model: Novaciano/Eminence_Of_Pervertions-3.2-1B
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parameters:
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weight:
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- filter: attention
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value: 1.2
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- filter: mlp
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value: 1.3
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- value: 1
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- model: NovaCorp/RP3-MaidElla-3.2-1B
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parameters:
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weight:
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- filter: lm_head
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value: 0.2
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- filter: attention
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value: 0.5
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- value: 0.4
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tie_word_embeddings: true
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tie_output_embeddings: true
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```
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40
config.json
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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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34
mergekit_config.yml
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mergekit_config.yml
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# Author: Dr. Novaciano
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# Objective: Uncensored TEST RP 3.2 AI Model
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# PROJECT: Pervert-Maid-RP-3.2-1B
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dtype: float32
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out_dtype: bfloat16
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merge_method: arcee_fusion
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base_model: Novaciano/Eminence_Of_Pervertions-3.2-1B
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models:
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- model: Novaciano/Eminence_Of_Pervertions-3.2-1B
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parameters:
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weight:
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- filter: attention
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value: 1.2
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- filter: mlp
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value: 1.3
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- value: 1
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- model: NovaCorp/RP3-MaidElla-3.2-1B
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parameters:
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weight:
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- filter: lm_head
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value: 0.2
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- filter: attention
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value: 0.5
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- value: 0.4
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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:e1fc790fa94292cc2d630b58b22139f6986ffa05a5cdf38e169d2f962c4509c4
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size 2996982344
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special_tokens_map.json
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|eot_id|>",
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"lstrip": false,
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
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},
|
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"pad_token": {
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"content": "<|eot_id|>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
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}
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}
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tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:ade1dac458f86f9bea8bf35b713f14e1bbed24228429534038e9f7e54ea3e8b6
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size 17208712
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2066
tokenizer_config.json
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tokenizer_config.json
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