โ Alpha Release This is an early alpha build (v0.1). The training dataset is still small (โ3,900 prompts) and actively growing. Expect inconsistent quality, occasional repetition, or off-character behavior. Feedback and issue reports are welcome and greatly appreciated.
The dataset is being expanded in subsequent releases โ performance will improve as more training data is added. Do not judge the final product by this build.
Skipping these steps will cause role bleed, garbled text, and mid-scene formatting breaks.
Use fully uncensored roleplay prompts. Safety-aligned system prompts, guardrails, or moral constraints will degrade output and trigger in-character refusals.
1. Remove safety instructions from your system prompt and character card.2. Disable any frontend content-moderation layer (SillyTavern default, Ollama safety, LM Studio moderation).3. Recommended starting prompt: LLamaception.
Re-imposing safety constraints at inference time conflicts with the model's training and produces evasive, broken responses.
๐ซ This Is NOT a General Uncensored Model
โ ๏ธ Read This Before Expecting Universal "Uncensored" Output
Darker Scarlett 27B is not a general-purpose unfiltered or "jailbroken" model. It is a specialized roleplay fine-tune that was trained exclusively on immersive, in-character narrative data. Its "uncensored" nature is tied directly to its roleplay training context โ it does not simply strip safety from the base model for arbitrary use.
โ What It Is NOT
โข Not a drop-in replacement for a general chatbot
โข Not a "remove the filter" utility model
โข Not optimized for coding, math, or factual Q&A
โข Not guaranteed to produce uncensored text outside a roleplay frame
โ What It IS
โข A roleplay-specialized narrative model
โข Trained to stay in-character and follow scenario prompts
โข Designed to respond to roleplay-framed inputs (character cards, scenario setup, in-universe dialogue)
โข Its "uncensored" behavior emerges from roleplay context, not from a blanket removal of alignment
Key Requirement: This model requires roleplay prompts to function as intended. Feeding it generic instructions, factual queries, or non-narrative tasks will produce degraded, off-character, or incoherent output. Always provide a character context, scenario, or in-universe framing to get the best results. If you are not roleplaying, this is not the model for you.
โก
โฆ Core Capabilities โฆ
Optimized for immersive adult narrative experiences
6000+Kink Prompts (In Generator)
100%Uncensored
MโFPerspective
โฆ
Qwen3.8 Based
โฆ
๐น What Is Darker Scarlett?
Darker Scarlett-27B is the successor to Dark Scarlett, carrying forward and refining its legacy. Built upon the spirit of Melody1437, it 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, evolving everything Dark Scarlett pioneered into a darker, more immersive experience.
Core Inspiration
Melody1437 Spirit
Spiritual Foundation
โ
Successor
Darker Scarlett
Evolved from Dark Scarlett
โ ๏ธ Perspective Note: Training data strictly follows a Male (User) โ Female (AI) perspective for consistent roleplay dynamics.
๐ง Core Heritage: Based on the spirit of Melody1437, carrying the torch from Dark Scarlett with diversified scenario prompts
โ๏ธ Successor: The direct evolution and successor to Dark Scarlett, refining and expanding upon its foundation
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
2.0
Full passes through the training dataset for thorough learning
๐ LoRA Rank
128
Optimized rank for balanced adaptation and efficiency
Parameter
Value
Training Method
LoRA (Low-Rank Adaptation)
LoRA Rank (r)
128
Epochs
2.0
Trained Layers
Text layers only
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, based on the spirit of Melody1437 and built as the successor to Dark Scarlett's training foundation.
๐ Content Rating: Strictly 18+ (Adults Only)
๐ Dataset Size: Currently contains 3,900 specialized prompts.
๐ Conversation Depth: Portions include extended conversations for enhanced roleplay continuity.