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Model: NovaCorp/Dirty_Maid_Alice-3.2-1B
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model:
+- N-Bot-Int/MaidEllaA-1B
+- hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B
+library_name: transformers
+tags:
+- mergekit
+- merge
+- llama
+- llama-3
+- roleplay
+- creative-writing
+- storytelling
+- mergekit
+- slerp
+- 1b
+- conversational
+- experimental
+- nsfw
+- uncensored
+- text-generation
+
+---
+# Dirty Maid Alice 3.2 1B
+
+A lightweight hybrid roleplay-oriented language model created through **SLERP interpolation** between two stylistically divergent Llama 3.2 derivatives:
+
+* [Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B](https://huggingface.co/hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B?utm_source=chatgpt.com)
+* [MaidEllaA-1B](https://huggingface.co/N-Bot-Int/MaidEllaA-1B?utm_source=chatgpt.com)
+
+This configuration differs from earlier Dirty Maid Alice iterations by using **Dirty Alice itself as the base anchor model**, while MaidEllaA acts as a structural stabilizer injected into selective transformer layers.
+
+The objective of this merge is not to suppress the original model’s aggressive RP dynamics, but to reinforce them with improved readability, pacing stability, and conversational continuity.
+
+---
+
+# Model Details
+
+| Attribute              | Value                                    |
+| ---------------------- | ---------------------------------------- |
+| Model Name             | Dirty Maid Alice 3.2 1B                  |
+| Architecture           | Llama 3.2 1B                             |
+| Merge Method           | SLERP                                    |
+| Precision              | BF16                                     |
+| Base Model             | Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B |
+| Structural Contributor | MaidEllaA-1B                             |
+| Primary Domain         | Roleplay / Creative Writing              |
+| Parameters             | 1B                                       |
+| Layer Merge Range      | 4 → 22                                   |
+| Embedding Tying        | Enabled                                  |
+
+---
+
+# Design Philosophy
+
+Dirty Maid Alice 3.2 1B was engineered around a different merge philosophy than traditional RP stabilization merges.
+
+Instead of using the calmer assistant model as the latent foundation, this build keeps **Dirty Alice as the dominant behavioral backbone** while selectively injecting MaidEllaA traits into the model’s internal representational space.
+
+The design goal is to preserve:
+
+* emotional volatility
+* improvisational escalation
+* stylized conversational bias
+* aggressive scene continuation
+* high-entropy dialogue behavior
+
+while reducing:
+
+* formatting collapse
+* repetition spirals
+* conversational derailment
+* unstable pacing
+
+This creates a model that remains emotionally intense and highly expressive without fully sacrificing conversational structure.
+
+---
+
+# Source Model Contributions
+
+## Dirty Alice (Primary Base Model)
+
+Primary contribution areas:
+
+* uncensored roleplay behavior
+* emotionally charged dialogue
+* improvisational narrative escalation
+* strong character persistence
+* high-energy conversational flow
+
+Observed traits:
+
+* highly expressive outputs
+* strong personality reinforcement
+* elevated narrative momentum
+* chaotic but creative continuation behavior
+
+Because Dirty Alice is the **base model anchor**, most latent behavioral geometry originates from this checkpoint.
+
+---
+
+## MaidEllaA (Structural Stabilizer)
+
+Primary contribution areas:
+
+* formatting regularization
+* improved readability
+* contextual grounding
+* pacing consistency
+* response organization
+
+Observed traits:
+
+* calmer dialogue cadence
+* cleaner completion formatting
+* reduced degeneration frequency
+* stronger contextual retention
+
+Rather than overriding Dirty Alice behavior, MaidEllaA acts as a corrective stabilizer injected into selective mid-transformer layers.
+
+---
+
+# Why SLERP?
+
+**Spherical Linear Interpolation (SLERP)** was selected over naive linear interpolation because it better preserves:
+
+* latent directional continuity
+* stylistic identity
+* behavioral geometry
+* expressive weight-space relationships
+
+For highly stylized RP checkpoints, standard linear merges often dilute personality characteristics or flatten conversational intensity.
+
+SLERP allows Dirty Alice behavioral traits to remain dominant while integrating MaidEllaA stabilization signals more naturally.
+
+Interpolation coefficient:
+
+```yaml id="a5v3oz"
+t: 0.45
+```
+
+This value introduces moderate stabilization while still strongly preserving Dirty Alice’s original expressive behavior.
+
+---
+
+# Layer Merge Strategy
+
+Only transformer layers **4 → 22** were merged.
+
+Rationale:
+
+* early layers preserve tokenizer and linguistic fundamentals
+* middle layers encode behavioral and stylistic traits
+* final layers preserve output identity and response shaping
+
+Selective layer blending reduces:
+
+* semantic drift
+* personality collapse
+* token instability
+* catastrophic behavioral flattening
+
+while maintaining the original RP intensity profile of the base model.
+
+---
+
+# Intended Use
+
+Dirty Maid Alice 3.2 1B is intended for:
+
+* roleplay
+* character simulation
+* interactive fiction
+* emotionally driven dialogue generation
+* narrative experimentation
+* creative sandbox environments
+
+Recommended deployment environments:
+
+* SillyTavern
+* TavernAI
+* KoboldCpp
+* local inference workflows
+* lightweight GPU systems
+* low-VRAM RP setups
+
+---
+
+# Prompting Recommendations
+
+The model performs best with:
+
+* explicit character definitions
+* immersive scene framing
+* emotionally charged prompts
+* dialogue-first interactions
+* persistent formatting patterns
+
+Example system prompt:
+
+```text id="m9yyzv"
+You are a persistent character inside an ongoing scene.
+Remain fully committed to the role at all times.
+Prioritize emotional continuity, sensory detail, and immersive dialogue.
+Avoid summarizing events unless explicitly requested.
+```
+
+---
+
+# Inference Recommendations
+
+| Parameter          | Recommended               |
+| ------------------ | ------------------------- |
+| Temperature        | 1.0 – 1.5                 |
+| Top-p              | 0.85 – 0.95               |
+| Min-p              | 0.05                      |
+| Repetition Penalty | 1.05 – 1.15               |
+| Context Length     | 4K recommended            |
+| Sampler            | DRY / Mirostat compatible |
+
+For maximum expressive behavior:
+
+* increase temperature
+* allow longer generations
+* reduce repetition penalty slightly
+
+For more stable interactions:
+
+* lower temperature toward 0.9
+* enable repetition controls
+* maintain structured dialogue formatting
+
+---
+
+# Strengths
+
+* Strong character persistence
+* High emotional intensity
+* Improved coherence versus raw Dirty Alice
+* Better pacing stability
+* Fast inference speed
+* Lightweight deployment footprint
+* Strong narrative momentum
+* Preserves uncensored RP expressiveness without excessive flattening
+
+---
+
+# Limitations
+
+As a 1B parameter model, limitations include:
+
+* factual unreliability
+* long-context degradation
+* hallucinated information
+* occasional narrative looping
+* unstable adherence under extreme sampling
+* emotional over-amplification
+
+This model is optimized for **creative interaction**, not factual reasoning or production assistant tasks.
+
+---
+
+# Hardware Recommendations
+
+Recommended minimum:
+
+* 4–6 GB VRAM (quantized)
+* 8 GB+ VRAM for comfortable BF16 inference
+
+Compatible with:
+
+* llama.cpp
+* KoboldCpp
+* Ollama
+* vLLM
+* Text Generation WebUI
+* GGUF quantization workflows
+
+---
+
+# Credits
+
+Base components:
+
+* [Hereticness on Hugging Face](https://huggingface.co/hereticness?utm_source=chatgpt.com)
+* [N-Bot-Int on Hugging Face](https://huggingface.co/N-Bot-Int?utm_source=chatgpt.com)
+
+Merge methodology:
+
+* SLERP interpolation
+* selective transformer-layer blending
+* latent-space stabilization techniques
+
+---
+
+# Disclaimer
+
+This model may generate:
+
+* fictional violence
+* offensive language
+* emotionally intense dialogue
+* unstable roleplay behavior
+* hallucinated information
+
+Outputs should be treated as synthetic creative text generation rather than factual or authoritative information.
+
+---
+
+# Merge Configuration
+
+```yaml id="o2i6pq"
+models:
+  - model: hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B
+  - model: N-Bot-Int/MaidEllaA-1B
+
+merge_method: slerp
+
+base_model: hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B
+
+dtype: bfloat16
+
+parameters:
+  t: 0.45
+  normalize: false
+  rescale: true
+  rescale_factor: 1.12
+  low_cpu_mem_usage: true
+
+layer_range:
+  - value: [4, 22]
+
+tie_word_embeddings: true
+tie_output_embeddings: true
+```
+
+---
+
+# Usage Example (Transformers)
+
+```python id="v6mb4p"
+from transformers import pipeline
+
+pipe = pipeline(
+    "text-generation",
+    model="NovaCorp/Dirty_Maid_Alice-3.2-1B"
+)
+
+messages = [
+    {"role": "user", "content": "Describe a dramatic confrontation scene."}
+]
+
+response = pipe(messages)
+print(response)
+```
+
+---
+
+# vLLM Example
+
+```bash id="uvx6fu"
+pip install vllm
+
+vllm serve "NovaCorp/Dirty_Maid_Alice-3.2-1B"
+```
+
+OpenAI-compatible request:
+
+```bash id="r3czjk"
+curl -X POST "http://localhost:8000/v1/chat/completions" \
+-H "Content-Type: application/json" \
+--data '{
+  "model": "NovaCorp/Dirty_Maid_Alice-3.2-1B",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Write an immersive dialogue scene."
+    }
+  ]
+}'
+```
+
+---
+### 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:
+* [N-Bot-Int/MaidEllaA-1B](https://huggingface.co/N-Bot-Int/MaidEllaA-1B)
+* [hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B](https://huggingface.co/hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+
+# Author: Dr. Novaciano
+# Objective: Fusion RP Unethic 3.2 AI Model
+# PROJECT: Dirty Maid Alice 3.2 1B
+
+models:
+  - model: hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B  # Experimental viral strain neural imprint
+  - model: N-Bot-Int/MaidEllaA-1B      # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-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
+
+```

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "bfloat16",
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pad_token_id": 128004,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_theta": 500000.0,
+    "rope_type": "llama3"
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "unsloth_version": "2025.3.19",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+
+
+# Author: Dr. Novaciano
+# Objective: Fusion RP Unethic 3.2 AI Model
+# PROJECT: Dirty Maid Alice 3.2 1B
+
+models:
+  - model: hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-3.2-1B  # Experimental viral strain neural imprint
+  - model: N-Bot-Int/MaidEllaA-1B      # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: hereticness/Heretic-Dirty-Alice-RP-NSFW-llama-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

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special_tokens_map.json

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+    "content": "<|begin_of_text|>",
+    "lstrip": false,
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+    "rstrip": false,
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+    "rstrip": false,
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+  }
+}

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