โ ๏ธ Development Warning: This is a TEST MODEL based on a small dataset. It is NOT the final version.
Core Capabilities
Optimized for immersive adult narrative experiences
6000+Kink prompts (In Generator)
100%Uncensored (Goal of v1.0)
MโFPerspective
Gemma 4 BASED
๐น What Is Dark Scarlett?
Inspired by the spirit of Melody1437, though trained on a distinct dataset, Dark Scarlett-31B refines the core architecture with specialized scenario prompts to enhance depth and responsiveness. This model focuses on delivering a cohesive narrative experience with a distinct perspective.
Core Inspiration
Melody1437 Spirit
Distinct Dataset
โ
Result
Dark Scarlett
โ ๏ธ Perspective Note: Training data strictly follows a Male (User) โ Female (AI) perspective for consistent roleplay dynamics.
๐ง Core Heritage: Captures the spirit of Melody1437 with diversified scenario prompts
๐ญ Group Chat Support: Includes some training for dynamic group chat interactions
๐ฏ Perspective: Optimized for Male User โ Female AI interactions
๐ Narrative Flow: Improved context retention with longer conversation threads in select scenarios
๐งฌ Synthetic Life Engine
Dataset generated using our advanced Character Engine and Emotional Engine, creating genuine life and emotional resonance in every interaction.
๐ญ Character Engine
Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. Characters remain true to themselves throughout.
๐ Emotional Engine
Injects dynamic emotional states into responses, creating depth and realistic reactions that breathe life into every exchange.
โจ Quality Refinement
Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn.
Fine-tuned using LoRA (Low-Rank Adaptation) for efficient and targeted weight adjustment, preserving the base model's capabilities while imprinting new behavioral patterns.
๐ข Epochs
1
Full passes through the training dataset for thorough learning
๐ LoRA Rank
32
Optimized rank for balanced adaptation and efficiency
Parameter
Value
Training Method
LoRA (Low-Rank Adaptation)
LoRA Rank (r)
32
Epochs
1
Trained Layers
Text layers only
Experimental Feature
Group Chat Support
๐ฏ Method: LoRA fine-tuning for parameter-efficient adaptation, preserving base knowledge while imprinting new behaviors
โก Efficiency: Only a fraction of parameters updated, keeping the model lean and responsive
๐ญ Result: Maintains coherence while exhibiting the desired personality traits and interaction style
๐ฎ Training Process
Model weights subjected to iterative refinement during data creation. Each conversation underwent multiple checks for stability and alignment.
๐ Multi-Turn Generation: Conversations built turn-by-turn for natural context flow
๐ก๏ธ Refusal Filtering: Automated systems detected and removed unwanted refusals
๐งน Slop Cleaning: Undesirable phrases identified and rewritten by dedicated assistant models
๐ช Group Chat Training: Includes some training data focused on multi-user group dynamics
๐ Dataset Overview
Model trained on a specialized adult-oriented roleplay dataset with diverse scenarios and emotional contexts, inspired by the spirit of Melody1437, though distinct in composition.
โ ๏ธ Dataset Limitation: The training dataset is relatively small. This may impact generalization and consistency compared to larger models.
๐ Content Rating: Strictly 18+ (Adults Only)
๐ Dataset Size: Currently contains 8,130 specialized prompts.
๐ Conversation Depth: Portions include extended conversations for enhanced roleplay continuity.