@import url('https://fonts.googleapis.com/css2?family=Cinzel:wght@400;700;900&family=Raleway:wght@300;400;600;700&family=JetBrains+Mono:wght@400;700&display=swap');
/ Base Reset & Layout /
.mc-wrap{background:#08060b;color:#e0dce4;font-family:'Raleway',sans-serif;max-width:920px;margin:0 auto;padding:24px;border-radius:16px;box-sizing:border-box;position:relative;overflow:hidden;
background-image:
radial-gradient(ellipse at 20% 50%, rgba(120,20,50,0.08) 0%, transparent 50%),
radial-gradient(ellipse at 80% 20%, rgba(80,10,60,0.06) 0%, transparent 50%),
radial-gradient(ellipse at 50% 80%, rgba(140,30,70,0.05) 0%, transparent 50%)}
.mc-wrap::before{content:'';position:absolute;top:0;left:0;right:0;bottom:0;background:url("data:image/svg+xml,%3Csvg width='60' height='60' viewBox='0 0 60 60' xmlns='http://www.w3.org/2000/svg'%3E%3Cg fill='none' fill-rule='evenodd'%3E%3Cg fill='%23ff2a6d' fill-opacity='0.03'%3E%3Cpath d='M36 34v-4h-2v4h-4v2h4v4h2v-4h4v-2h-4zm0-30V0h-2v4h-4v2h4v4h2V6h4V4h-4zM6 34v-4H4v4H0v2h4v4h2v-4h4v-2H6zM6 4V0H4v4H0v2h4v4h2V6h4V4H6z'/%3E%3C/g%3E%3C/g%3E%3C/svg%3E") repeat;pointer-events:none;z-index:0;opacity:0.5}
.mc-wrap *{box-sizing:border-box;position:relative;z-index:1}
.mc-wrap h1,.mc-wrap h2,.mc-wrap h3,.mc-wrap h4{color:#ffffff;border:none;font-family:'Cinzel',serif}
.mc-wrap p{color:#c8c0cc;font-family:'Raleway',sans-serif;line-height:1.7}
.mc-wrap strong{color:#ff2a6d;font-weight:600}
.mc-wrap a{color:#ff6b9d;text-decoration:none;transition:all 0.3s;border-bottom:1px solid transparent}
.mc-wrap a:hover{color:#ff2a6d;border-bottom-color:#ff2a6d}
.mc-wrap ul{list-style:none;padding-left:0;margin:0}
.mc-wrap li{color:#c8c0cc;margin-bottom:10px;padding-left:0;line-height:1.7}
/ Code Blocks /
.mc-wrap code{background:rgba(255,42,109,0.08);color:#ff6b9d;padding:3px 10px;border-radius:4px;font-family:'JetBrains Mono',monospace;font-size:.85em;border:1px solid rgba(255,42,109,.2)}
/ Ornamental Dividers /
.mc-ornament{text-align:center;margin:28px 0;position:relative;z-index:1}
.mc-ornament::before{content:'';position:absolute;top:50%;left:10%;right:10%;height:1px;background:linear-gradient(90deg,transparent,rgba(255,42,109,0.3),rgba(200,150,180,0.4),rgba(255,42,109,0.3),transparent)}
.mc-ornament span{background:#08060b;padding:0 20px;color:#ff2a6d;font-size:1.2em;position:relative;z-index:2}
/ Header Section /
.mc-hdr{text-align:center;padding:50px 40px;background:linear-gradient(180deg,#0d0a10 0%,#12090f 50%,#0d0a10 100%);border:1px solid rgba(255,42,109,.25);border-radius:24px;margin-bottom:24px;position:relative;overflow:hidden;box-shadow:0 0 40px rgba(255,42,109,0.08),inset 0 0 60px rgba(0,0,0,0.3)}
.mc-hdr::before{content:'';position:absolute;top:0;left:0;right:0;height:3px;background:linear-gradient(90deg,transparent,#ff2a6d,#d90429,#c7728a,#d90429,#ff2a6d,transparent);animation:shimmer 4s ease infinite}
.mc-hdr::after{content:'';position:absolute;bottom:0;left:0;right:0;height:3px;background:linear-gradient(90deg,transparent,#8d0801,#d90429,#ff2a6d,#d90429,#8d0801,transparent);animation:shimmer 4s ease infinite reverse}
.mc-name{font-family:'Cinzel',serif;font-size:2.8em;font-weight:900;margin:0;letter-spacing:.08em;background:linear-gradient(135deg,#ff2a6d 0%,#ff6b9d 25%,#c7728a 50%,#ff2a6d 75%,#d90429 100%);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text;line-height:1.3;text-shadow:0 0 30px rgba(255,42,109,0.4);background-size:200% 200%;animation:text-shimmer 6s ease infinite}
.mc-badge{display:inline-flex;align-items:center;gap:8px;background:linear-gradient(135deg,rgba(255,42,109,.12),rgba(140,8,1,.15));border:1px solid rgba(255,42,109,.45);padding:10px 24px;border-radius:100px;font-family:'JetBrains Mono',monospace;font-size:.85em;font-weight:700;color:#ff2a6d;margin-top:22px;box-shadow:0 0 20px rgba(255,42,109,0.15);animation:pulse-badge 3s infinite;letter-spacing:.05em}
.mc-sub{color:#9a8fa0;font-size:1.15em;margin-top:18px;font-weight:300;font-style:italic;font-family:'Raleway',sans-serif;letter-spacing:.04em}
/ Warnings & Alerts /
.mc-warn{padding:18px 28px;border-radius:12px;margin:24px 0;font-weight:600;font-size:.88em;line-height:1.7;background:linear-gradient(135deg,rgba(217,4,41,.08),rgba(140,8,1,.06));border:1px solid rgba(217,4,41,.35);color:#ff4d6d;text-align:center;box-shadow:0 0 20px rgba(217,4,41,0.06);position:relative;overflow:hidden}
.mc-warn::before{content:'';position:absolute;top:0;left:0;right:0;height:2px;background:linear-gradient(90deg,transparent,#d90429,#ff4d6d,#d90429,transparent)}
/ Sections /
.mc-sec{margin:20px 0;padding:28px 32px;background:linear-gradient(180deg,#0c0a0f,#0a0810);border:1px solid rgba(255,42,109,.15);border-radius:16px;position:relative;overflow:hidden;transition:all 0.4s ease}
.mc-sec:hover{border-color:rgba(255,42,109,.4);box-shadow:0 0 30px rgba(255,42,109,0.06)}
.mc-sec::before{content:'';position:absolute;top:0;left:0;width:3px;height:100%;background:linear-gradient(180deg,#ff2a6d,#d90429,#c7728a,#8d0801);opacity:.9}
.mc-sec::after{content:'';position:absolute;top:0;right:0;bottom:0;width:60px;background:linear-gradient(90deg,transparent,rgba(255,42,109,0.02));pointer-events:none}
.mc-sec-title{font-family:'Cinzel',serif;font-size:1.4em;font-weight:700;margin:0 0 18px 0;color:#ffffff;display:flex;align-items:center;gap:12px;letter-spacing:.04em}
/ Grids & Cards /
.mc-grid{display:grid;grid-template-columns:1fr 1fr;gap:16px;margin-top:18px}
.mc-card{background:linear-gradient(145deg,#0f0c14,#0c0a10);padding:22px;border-radius:14px;border:1px solid rgba(255,42,109,.12);transition:all 0.4s ease;position:relative;overflow:hidden}
.mc-card::before{content:'';position:absolute;top:0;left:0;right:0;height:2px;background:linear-gradient(90deg,transparent,rgba(255,42,109,0.3),transparent);opacity:0;transition:opacity 0.4s}
.mc-card:hover{border-color:rgba(255,42,109,.4);box-shadow:0 0 25px rgba(255,42,109,0.08);transform:translateY(-3px)}
.mc-card:hover::before{opacity:1}
.mc-card h4{margin:0 0 12px 0;color:#ff2a6d;font-family:'Cinzel',serif;font-weight:700;font-size:1em;letter-spacing:.03em}
.mc-card p{color:#b8b0c0;font-size:.88em;margin:0;line-height:1.7}
.mc-val{font-family:'Cinzel',serif;font-size:2.6em;font-weight:900;background:linear-gradient(135deg,#ff2a6d,#d90429,#c7728a);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text;margin:10px 0;line-height:1}
.mc-lbl{color:#8a7f90;font-size:.82em;line-height:1.6;margin:0}
/ Tables /
.mc-tbl{width:100%;border-collapse:separate;border-spacing:0;margin-top:18px;font-family:'Raleway',sans-serif;border-radius:14px;border:1px solid rgba(255,42,109,.15);overflow:hidden}
.mc-tbl th{background:linear-gradient(135deg,rgba(255,42,109,.1),rgba(140,8,1,.08));color:#ff2a6d;padding:14px 22px;text-align:left;font-weight:700;font-size:.72em;text-transform:uppercase;letter-spacing:.12em;border-bottom:1px solid rgba(255,42,109,.2);font-family:'Cinzel',serif}
.mc-tbl td{padding:14px 22px;border-bottom:1px solid rgba(255,42,109,.08);color:#c8c0cc;font-size:.86em;background:#0c0a10;font-family:'Raleway',sans-serif}
.mc-tbl tr:last-child td{border-bottom:none}
.mc-tbl tr:hover td{background:rgba(255,42,109,0.03)}
.mc-tbl td strong{color:#d90429}
/ Buttons & Links /
.mc-qlinks{display:grid;grid-template-columns:repeat(auto-fit,minmax(220px,1fr));gap:16px;margin:18px 0}
.mc-btn{display:inline-flex;align-items:center;justify-content:center;background:linear-gradient(135deg,#ff2a6d,#d90429);color:#0a0a0a;padding:14px 28px;border-radius:10px;text-decoration:none;border:none;margin:14px 0 0 0;font-weight:700;font-size:.88em;letter-spacing:.06em;text-transform:uppercase;font-family:'Cinzel',serif;box-shadow:0 4px 20px rgba(255,42,109,.3);transition:all 0.4s ease;position:relative;overflow:hidden}
.mc-btn::before{content:'';position:absolute;top:0;left:-100%;width:100%;height:100%;background:linear-gradient(90deg,transparent,rgba(255,255,255,0.2),transparent);transition:0.6s}
.mc-btn:hover::before{left:100%}
.mc-btn:hover{box-shadow:0 0 35px rgba(255,42,109,0.5);transform:translateY(-3px);filter:brightness(1.1)}
.mc-ava{width:48px;height:48px;border-radius:50%;margin-right:16px;object-fit:cover;border:2px solid rgba(255,42,109,.6);box-shadow:0 0 15px rgba(255,42,109,0.2);transition:all 0.3s}
.mc-ava:hover{border-color:#ff2a6d;box-shadow:0 0 25px rgba(255,42,109,0.4)}
.mc-disclaimer{border-left:3px solid #c7728a;padding:16px 24px;background:linear-gradient(135deg,rgba(200,114,138,.06),rgba(255,153,170,.04));border-radius:0 14px 14px 0;color:#ddb8c8;font-size:.88em;margin:18px 0;line-height:1.7}
/ FLASHY TAGS & KINKS SECTION /
.mc-tag-container{display:flex;flex-wrap:wrap;gap:10px;margin:22px 0;justify-content:center}
.mc-tag{display:inline-flex;align-items:center;padding:8px 18px;border-radius:100px;font-size:.75em;font-weight:700;letter-spacing:.1em;text-transform:uppercase;font-family:'JetBrains Mono',monospace;border:1px solid;transition:all 0.4s ease;position:relative;overflow:hidden;backdrop-filter:blur(4px)}
.mc-tag::before{content:'';position:absolute;top:0;left:0;width:100%;height:100%;background:linear-gradient(45deg,transparent,rgba(255,255,255,0.12),transparent);transform:translateX(-100%);transition:0.6s}
.mc-tag:hover::before{transform:translateX(100%)}
.mc-tag:hover{transform:scale(1.08);box-shadow:0 0 20px currentColor}
.t1{background:rgba(255,42,109,.12);color:#ff2a6d;border-color:rgba(255,42,109,.5);box-shadow:0 0 12px rgba(255,42,109,0.15)}
.t2{background:rgba(217,4,41,.12);color:#d90429;border-color:rgba(217,4,41,.5);box-shadow:0 0 12px rgba(217,4,41,0.15)}
.t3{background:rgba(141,8,1,.12);color:#c75050;border-color:rgba(141,8,1,.5);box-shadow:0 0 12px rgba(141,8,1,0.15)}
.t4{background:rgba(200,114,138,.12);color:#c7728a;border-color:rgba(200,114,138,.5);box-shadow:0 0 12px rgba(200,114,138,0.15)}
.t-nsfw{background:rgba(255,0,85,.15);color:#ff0055;border-color:rgba(255,0,85,.6);box-shadow:0 0 18px rgba(255,0,85,0.3);animation:pulse-red 2.5s infinite}
/ Special Kink Highlight Box /
.kink-highlight{background:linear-gradient(145deg, #12081a, #0a0610, #0f0a14);border:1px solid rgba(255,42,109,.3);border-radius:20px;padding:30px;margin:24px 0;position:relative;overflow:hidden}
.kink-highlight::before{content:'';position:absolute;top:-1px;left:-1px;right:-1px;bottom:-1px;border-radius:20px;background:linear-gradient(135deg,rgba(255,42,109,0.2),transparent 40%,transparent 60%,rgba(200,114,138,0.15));z-index:0;pointer-events:none}
.kink-highlight::after{content:'';position:absolute;top:-50%;right:-30%;width:80%;height:100%;background:radial-gradient(circle,rgba(255,42,109,0.08) 0%,transparent 70%);pointer-events:none;z-index:0}
.kink-stat-grid{display:grid;grid-template-columns:repeat(auto-fit,minmax(150px,1fr));gap:16px;margin-top:22px}
.kink-stat{background:linear-gradient(145deg,rgba(255,42,109,0.04),rgba(200,114,138,0.02));border:1px solid rgba(255,42,109,.15);padding:20px;border-radius:14px;text-align:center;transition:all 0.4s ease;position:relative;overflow:hidden}
.kink-stat::before{content:'';position:absolute;top:0;left:0;right:0;height:2px;background:linear-gradient(90deg,transparent,rgba(255,42,109,0.4),transparent);opacity:0;transition:opacity 0.4s}
.kink-stat:hover{background:linear-gradient(145deg,rgba(255,42,109,0.08),rgba(200,114,138,0.04));border-color:rgba(255,42,109,.4);box-shadow:0 0 25px rgba(255,42,109,0.1);transform:translateY(-3px)}
.kink-stat:hover::before{opacity:1}
.kink-stat-val{font-family:'Cinzel',serif;font-size:1.8em;font-weight:900;color:#ff2a6d;display:block;margin-bottom:6px;text-shadow:0 0 20px rgba(255,42,109,0.3)}
.kink-stat-label{font-size:0.72em;color:#8a7f90;text-transform:uppercase;letter-spacing:.12em;font-family:'JetBrains Mono',monospace}
/ Video /
.mc-video-wrap{position:relative;margin:24px 0;border-radius:18px;overflow:hidden;border:2px solid rgba(255,42,109,.4);box-shadow:0 0 40px rgba(255,42,109,0.12)}
.mc-video-badge{position:absolute;top:12px;right:12px;background:linear-gradient(135deg,#ff2a6d,#d90429);color:#0a0a0a;font-family:'Cinzel',serif;font-weight:900;padding:6px 16px;font-size:.72em;border-radius:6px;z-index:2;border:1px solid rgba(255,42,109,.5);box-shadow:0 0 15px rgba(0,0,0,0.6);letter-spacing:.08em;text-transform:uppercase}
/ Details/Summary /
details summary{cursor:pointer;font-family:'Cinzel',serif;font-size:1.3em;font-weight:700;color:#ffffff;padding:22px 32px;background:linear-gradient(135deg,#110d16,#0c0a10);border:1px solid rgba(255,42,109,.15);border-radius:16px;position:relative;list-style:none;display:flex;align-items:center;gap:12px;transition:all 0.4s ease;letter-spacing:.03em}
details summary:hover{background:linear-gradient(135deg,#16101c,#0e0b14);border-color:rgba(255,42,109,.35);box-shadow:0 0 25px rgba(255,42,109,0.06)}
details summary::-webkit-details-marker{display:none}
details summary::before{content:'✦';font-size:.7em;transition:all .3s;color:#ff2a6d;margin-right:4px}
details[open] summary::before{content:'✦';transform:rotate(180deg);filter:drop-shadow(0 0 6px rgba(255,42,109,0.6))}
details summary::after{content:'';position:absolute;top:0;left:0;width:3px;height:100%;background:linear-gradient(180deg,#ff2a6d,#d90429,#c7728a);opacity:.8;border-radius:16px 0 0 16px}
details .mc-sec{margin-top:0;border-top-left-radius:0;border-top-right-radius:0;border-top:none}
/ Sampler & Config /
.sampler-grid{display:grid;grid-template-columns:1fr 1fr;gap:12px;margin-top:16px}
.param-box{background:linear-gradient(145deg,rgba(255,42,109,0.04),rgba(200,114,138,0.02));border:1px solid rgba(255,42,109,.15);padding:16px;border-radius:10px;text-align:center;transition:all 0.3s ease;position:relative;overflow:hidden}
.param-box::before{content:'';position:absolute;top:0;left:0;right:0;height:2px;background:linear-gradient(90deg,transparent,rgba(255,42,109,0.3),transparent);opacity:0;transition:opacity 0.3s}
.param-box:hover{background:linear-gradient(145deg,rgba(255,42,109,0.1),rgba(200,114,138,0.05));border-color:rgba(255,42,109,.4);box-shadow:0 0 20px rgba(255,42,109,0.12)}
.param-box:hover::before{opacity:1}
.param-val{font-family:'Cinzel',serif;font-size:1.6em;font-weight:900;color:#ff2a6d;display:block;margin-bottom:4px;text-shadow:0 0 15px rgba(255,42,109,0.3)}
.param-label{font-size:0.68em;color:#8a7f90;text-transform:uppercase;letter-spacing:.1em;font-family:'JetBrains Mono',monospace}
.quant-list{list-style:none;padding:0;margin:16px 0}
.quant-item{display:flex;justify-content:space-between;padding:10px 0;border-bottom:1px solid rgba(255,42,109,.1);font-size:.85em;color:#c8c0cc;transition:all 0.2s}
.quant-item:hover{padding-left:8px;border-bottom-color:rgba(255,42,109,.25)}
.quant-item:last-child{border-bottom:none}
.quant-item span:first-child{font-family:'JetBrains Mono',monospace;color:#d90429;font-weight:700}
.mc-btn-glow{box-shadow:0 0 20px rgba(255,42,109,0.3);transition:all 0.4s ease;width:100%}
.mc-btn-glow:hover{box-shadow:0 0 40px rgba(255,42,109,0.5);transform:translateY(-3px)}
.download-icon{margin-right:10px}
/ Art Corner Decorations /
.mc-corner-decor{position:absolute;width:30px;height:30px;opacity:.4;pointer-events:none}
.mc-corner-decor.tl{top:8px;left:8px;border-top:2px solid #ff2a6d;border-left:2px solid #ff2a6d}
.mc-corner-decor.tr{top:8px;right:8px;border-top:2px solid #ff2a6d;border-right:2px solid #ff2a6d}
.mc-corner-decor.bl{bottom:8px;left:8px;border-bottom:2px solid #ff2a6d;border-left:2px solid #ff2a6d}
.mc-corner-decor.br{bottom:8px;right:8px;border-bottom:2px solid #ff2a6d;border-right:2px solid #ff2a6d}
/ Notice Box /
.mc-notice{padding:22px 28px;border-radius:14px;margin:24px 0;font-size:.92em;line-height:1.7;background:linear-gradient(135deg,rgba(255,180,50,.06),rgba(200,150,50,.04));border:1px solid rgba(255,180,50,.35);color:#e8d4a0;text-align:center;box-shadow:0 0 20px rgba(255,180,50,0.06);position:relative;overflow:hidden}
.mc-notice::before{content:'';position:absolute;top:0;left:0;right:0;height:2px;background:linear-gradient(90deg,transparent,#ffb432,#ffd700,#ffb432,transparent)}
.mc-notice strong{color:#ffd700;font-weight:700}
.mc-notice code{background:rgba(255,180,50,0.12);color:#ffd700;border-color:rgba(255,180,50,.25)}
/ Animations /
@keyframes shimmer{0%{background-position:-200% 0}100%{background-position:200% 0}}
@keyframes text-shimmer{0%{background-position:0% 50%}50%{background-position:100% 50%}100%{background-position:0% 50%}}
@keyframes pulse-badge{0%{box-shadow:0 0 0 0 rgba(255,42,109,0.4)}70%{box-shadow:0 0 0 12px rgba(255,42,109,0)}100%{box-shadow:0 0 0 0 rgba(255,42,109,0)}}
@keyframes pulse-red{0%{box-shadow:0 0 0 0 rgba(255,0,85,0.4)}70%{box-shadow:0 0 0 12px rgba(255,0,85,0)}100%{box-shadow:0 0 0 0 rgba(255,0,85,0)}}
@keyframes float{0%{transform:translateY(0)}50%{transform:translateY(-5px)}100%{transform:translateY(0)}}
/ Responsive /
@media(max-width:640px){.mc-wrap{padding:12px}.mc-name{font-size:1.8em}.mc-grid{grid-template-columns:1fr}.mc-qlinks{grid-template-columns:1fr}.kink-stat-grid{grid-template-columns:1fr 1fr}.mc-hdr{padding:30px 20px}}
Dark Scarlett 31B
⚡ v2.0
Passion ignited. Boundaries dissolved.
Thinking did not survive
✦
🔔 Version Notice: This model is the same training data and configuration as v1.0, now applied to the Gemma4-Gutenberg-31B base model. If you liked Dark Scarlett v1.0, this offers the same experience on an improved literary base.
🔞 NSFW
ERP
Uncensored
Roleplay
Gemma-4
Adult
Unaligned
✦ Content Advisory: Mature Themes / Adult Interactions — Intended for mature audiences only. ✦
✦ Core Capabilities ✦
Optimized for immersive adult narrative experiences
6000+
Kink Prompts (In Generator)
100%
Uncensored
M→F
Perspective
⟡
Gemma 4 Based
✦
🌹 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
⟡
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
1
Full passes through the training dataset for thorough learning
📐 LoRA Rank
32
Optimized rank for balanced adaptation and efficiency
ParameterValue
Training MethodLoRA (Low-Rank Adaptation)
LoRA Rank (r)32
Epochs1
Trained LayersText layers only
FeatureGroup 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.
🔞 Content Rating: Strictly 18+ (Adults Only)
📊 Dataset Size: Currently contains 12,211 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.
📉 Data Limitations: Trained on a curated dataset (12,211 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
🎪 Feature: Includes some training for group chat scenarios
🔄 v2.0 Change: Same training data and configuration as v1.0, now applied to Gemma4-Gutenberg-31B as the base model for enhanced literary quality
⚙️ 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 — Dataset Generation
FrenzyBiscuit — Fine-Tuning & Dataset Creation
⟡
🔖 License & Usage
⚠️ Usage Agreement: By using this model, you accept all terms and conditions.
🛡️ 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 (matching the Gemma 4 base). Constituent training datasets carry their own licenses (see the Athanorlite-DPO card on the nbeerbower/Gemma4-Gutenberg-31 model).
Apache 2.0
Personal Use
18+ Content
NSFW