⚠️ Development Warning: This is a TEST MODEL based on a work in progress dataset. It is NOT the final version. If you have recommendations, let us know before v1.0!.
Core Capabilities
Optimized for immersive adult narrative experiences
6000+Kink prompts (In Generator)
100%Uncensored (Goal of v1.0)
M→FPerspective
MAGISTRAL BASED
🌹 What Is Dark Scarlett?
Inspired by the spirit of Melody1437, though trained on a distinct dataset, Dark Scarlett 2509 24B 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
→
Result
Dark Scarlett A4B
⚠️ Perspective Note: Training data strictly follows a Male (User) → Female (AI) perspective for consistent roleplay dynamics.
🧠 Core Heritage: Captures the spirit of Melody1437 with diversified scenario prompts
🎭 Group Chat Support: Includes some training for dynamic group chat interactions
🎯 Perspective: Optimized for Male User → Female AI interactions
📖 Narrative Flow: Improved context retention with longer conversation threads in select scenarios
🧬 Synthetic Life Engine
Dataset generated using our advanced Character Engine and Emotional Engine, creating genuine life and emotional resonance in every interaction.
🎭 Character Engine
Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. Characters remain true to themselves throughout.
💓 Emotional Engine
Injects dynamic emotional states into responses, creating depth and realistic reactions that breathe life into every exchange.
✨ 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.
🔢 Epochs
2
Full passes through the training dataset for thorough learning
📐 LoRA Rank
32
Optimized rank for balanced adaptation and efficiency
Parameter
Value
Training Method
LoRA (Low-Rank Adaptation)
LoRA Rank (r)
32
Epochs
2
Trained Layers
Text layers only
Experimental Feature
Group Chat Support
🎯 Method: LoRA fine-tuning for parameter-efficient adaptation, preserving base knowledge while imprinting new behaviors
⚡ Efficiency: Only a fraction of parameters updated, keeping the model lean and responsive
🎭 Result: Maintains coherence while exhibiting the desired personality traits and interaction style
🔮 Training Process
Model weights subjected to iterative refinement during data creation. Each conversation underwent multiple checks for stability and alignment.
🔄 Multi-Turn Generation: Conversations built turn-by-turn for natural context flow
🛡️ Refusal Filtering: Automated systems detected and removed unwanted refusals
🧹 Slop Cleaning: Undesirable phrases identified and rewritten by dedicated assistant models
🎪 Group Chat Training: Includes some training data focused on multi-user group dynamics
📚 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.
⚠️ Dataset Limitation: The training dataset is relatively small. This may impact generalization and consistency compared to larger models.
🔞 Content Rating: Strictly 18+ (Adults Only)
📊 Dataset Size: Currently contains 9,450 specialized prompts.
📝 Conversation Depth: Portions include extended conversations for enhanced roleplay continuity.
