ReadyArt_Dark-Scarlett-v0.3-26B-A4B-GGUF--q8_0

Inspired by the spirit of Melody1437, though trained on a distinct dataset, Dark Scarlett-27B 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 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

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.

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

• 🎯 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

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

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.

• 🔞 Content Rating: Strictly 18+ (Adults Only)
• 📊 Dataset Size: Currently contains 7,500 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.

• ⚠️ Content Warning: This model can generate mature content. Use responsibly.
• 🧪 Test Build: This is an experimental release (v0.3) and not the final version.
• 📉 Data Limitations: Trained on a curated dataset (7,500 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

🎛️ Sampler Settings

Recommended parameters for optimal output

📦 GGUF Quantizations

Available formats for local inference

• Q4_K_MDecent Quality
• Q5_K_MRecommended
• Q6_KHigh Quality
• Q8_0Near Lossless

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