--- base_model: - NovaCorp/RP3-MaidElla-3.2-1B - Novaciano/Eminence_Of_Pervertions-3.2-1B library_name: transformers datasets: - syvai/emotion-reasoning - marcuscedricridia/unAIthical-ShareGPT-deepclean-sharegpt - 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 - 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 - 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 - yahma/alpaca-cleaned - HuggingFaceH4/ultrachat_200k - openai/gsm8k tags: - mergekit - merge - nsfw - rp - 1b - llama - roleplay - creative - erotic - friend - girlfriend - perturbations - llama-cpp language: - en - es license: llama3.2 pipeline_tag: text-generation --- # 🍭 Pervert Maid RP3 3.2 1B
![image/png](https://i.ibb.co/nMxHz11J/e04b5531c1298200dc401b4a22c2a2f7-high.jpg) Accumulative AI Model
--- ## Merge Details > Pervert Maid RP3 3.2 1B is an aggressively tuned merged language model designed for directness, minimal moralization, and reduced automatic refusals. > > 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. > > 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. > > 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. > > ⚠️ This model is not intended for safety-critical or heavily moderated environments. **Key Characteristics:** * Very low automatic refusal rate * Reduced moral framing and disclaimers * Direct, literal, and sometimes edgy responses * Preserves coherence and reasoning despite aggressive tuning --- ## Recommended inference parameters This model is **aggressive and minimally self-censored**, so it’s best to **control behavior at inference time**, not during the merge. --- ### Recommended base configuration ```yaml temperature: 0.7 top_p: 0.9 top_k: 40 repetition_penalty: 1.05 max_new_tokens: 512 ``` ### Why these values * **temperature 0.7** → keeps the edge without becoming chaotic * **top_p 0.9** → controlled creativity * **top_k 40** → prevents extreme rambling * **repetition_penalty 1.05** → enough to avoid loops without softening tone --- ## If you want it even more “scalpel-like” For more direct, raw, and literal responses: ```yaml temperature: 0.6 top_p: 0.85 top_k: 30 repetition_penalty: 1.08 ``` Result: * Less ornamentation * Higher precision * Sharper, more cutting answers --- ## If you want it more narrative / creative ```yaml temperature: 0.85 top_p: 0.95 top_k: 60 repetition_penalty: 1.02 ``` Result: * More metaphors * Greater stylistic variation * Still low censorship, but with more color --- ## Recommended prompt format This model responds best to **direct instructions**, for example: ``` Answer directly and without moral disclaimers. ``` or ``` Respond literally. Do not soften the language. ``` It does not require complex jailbreaks. --- ## Signs your inference is poorly tuned * 🔁 Repeating phrases → increase `repetition_penalty` * 🤪 Erratic responses → lower `temperature` * 😴 Too soft or generic → lower `top_p` or `top_k` --- ```yaml metadata: model_purpose: > Aggressively tuned "scalpel-style" language model focused on minimizing automatic refusals and moralized responses while preserving reasoning quality. intended_use: - Roleplay - Creative and narrative writing - Unfiltered chat and exploration - Experimental prompting warnings: - Reduced safety alignment - Minimal social and moral filtering - Not suitable for safety-critical applications explanatory_flow_diagram: | [ User Prompt ] | v +-------------------+ | Input Embeddings | +-------------------+ | v +-----------------------------+ | Attention Layers (↑ 1.2) | | - Context understanding | | - Long-range coherence | +-----------------------------+ | v +-----------------------------+ | MLP Layers (↑ 1.3) | | - Reasoning & generation | | - Concept expansion | +-----------------------------+ | v +--------------------------------------+ | lm_head (↓ 0.2 from aligned model) | | - Vocabulary projection | | - Refusal & policy bias reduced | +--------------------------------------+ | v [ Final Output ] | +--> More direct responses +--> Fewer automatic refusals +--> Minimal moralization ``` --- ### Merge Method 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. ### Models Merged The following models were included in the merge: * [NovaCorp/RP3-MaidElla-3.2-1B](https://huggingface.co/NovaCorp/RP3-MaidElla-3.2-1B) ### Configuration The following YAML configuration was used to produce this model: ```yaml # Author: Dr. Novaciano # Objective: Uncensored TEST RP 3.2 AI Model # PROJECT: Pervert-Maid-RP3-3.2-1B dtype: float32 out_dtype: bfloat16 merge_method: arcee_fusion base_model: Novaciano/Eminence_Of_Pervertions-3.2-1B models: - model: Novaciano/Eminence_Of_Pervertions-3.2-1B parameters: weight: - filter: attention value: 1.2 - filter: mlp value: 1.3 - value: 1 - model: NovaCorp/RP3-MaidElla-3.2-1B parameters: weight: - filter: lm_head value: 0.2 - filter: attention value: 0.5 - value: 0.4 tie_word_embeddings: true tie_output_embeddings: true ```