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

→

Result

Dark Scarlett

⚠️ 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.

💬 Dialogue Integrity

Advanced quote normalization ensures balanced dialogue markers, preventing formatting errors and maintaining immersion.

🧠 Training Details & Parameters

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

Full passes through the training dataset for thorough learning

📐 LoRA Rank

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

🎯 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 8,130 specialized prompts.
📝 Conversation Depth: Portions include extended conversations for enhanced roleplay continuity.
🎭 Focus: Mature themes, immersive roleplay, uncensored dialogue
👥 Perspective: Male (User) → Female (AI)
🧹 Formatting: Removed Em dashes, asterisks, and markdown formatting from the dataset for cleaner output.

📜 Version Notes

⚠️ Content Warning: This model can generate mature content. Use responsibly.
🧪 Test Build: This is an experimental release (v0.35) and not the final version.
📉 Data Limitations: Trained on a curated dataset (8,130 prompts); performance may vary.
🧹 Clean Output: Reasoning tags, Em dashes, asterisks, and markdown formatting stripped for cleaner roleplay
🔀 Core Identity: Trained on the spirit of Melody1437, but utilizes a unique dataset
🎪 Experimental: Includes some training for group chat scenarios

⚙️ Configuration

🎛️ Sampler Settings

Recommended parameters for optimal output

0.92 Top-P

1.0 Temperature

0 Freq Pen

0 Presence Pen

📦 GGUF Quantizations

Available formats for local inference

Q4_K_MDecent Quality
Q5_K_MRecommended
Q6_KHigh Quality
Q8_0Near Lossless

⬇ View Repository

💖 Credits

GECFDO
GECFDO — Dataset Generation
FrenzyBiscuit
FrenzyBiscuit — Fine-Tuning & Dataset Creation

🔖 License & Usage

⚠️ Usage Agreement: By using this model, you accept all terms and conditions.

📜 Built upon the Apache 2.0 license
🛡️ You accept full responsibility for all outputs generated
🔞 You confirm you are at least 18 years old
🌍 Creators bear no responsibility for how the model is used
🏡 For personal use only (non-profit/non-commercial) to the extent legally allowed

Apache 2.0 Personal Use 18+ Content NSFW BETA

ReadyArt/Dark-Scarlett-v0.35-31B-GGUF

Dark Scarlett 31B

Core Capabilities