Dark-Scarlett-v2.0-31B

<style> @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 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.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}} </style> <div class="mc-wrap"> <div class="mc-hdr"> <div class="mc-corner-decor tl"></div> <div class="mc-corner-decor tr"></div> <div class="mc-corner-decor bl"></div> <div class="mc-corner-decor br"></div> <h1 class="mc-name">Dark Scarlett 31B</h1> <div class="mc-badge">⚡ v2.0</div> <p class="mc-sub">Passion ignited. Boundaries dissolved.</p> <div style="background:linear-gradient(135deg,rgba(255,42,109,0.06),rgba(200,114,138,0.04));border:1px solid rgba(255,42,109,.2);padding:14px;border-radius:10px;margin-top:20px;font-size:.85em;color:#c7728a"> <strong>Thinking did not survive</strong> </div> </div> <div class="mc-ornament"><span>✦</span></div> <!-- NOTICE: Same as v1.0 but on Gemma4-Gutenberg-31B --> <div class="mc-notice"> <div class="mc-corner-decor tl"></div> <div class="mc-corner-decor tr"></div> <div class="mc-corner-decor bl"></div> <div class="mc-corner-decor br"></div> 🔔 <strong>Version Notice:</strong> This model is the <strong>same training data and configuration as v1.0</strong>, now applied to the <strong>Gemma4-Gutenberg-31B</strong> base model. If you liked Dark Scarlett v1.0, this offers the same experience on an improved literary base. </div> <!-- FLASHY TAG CLOUD --> <div class="mc-tag-container"> <span class="mc-tag t-nsfw">🔞 NSFW</span> <span class="mc-tag t1">ERP</span> <span class="mc-tag t2">Uncensored</span> <span class="mc-tag t1">Roleplay</span> <span class="mc-tag t3">Gemma-4</span> <span class="mc-tag t4">Adult</span> <span class="mc-tag t2">Unaligned</span> </div> <div class="mc-warn"> ✦ Content Advisory: Mature Themes / Adult Interactions — Intended for mature audiences only. ✦ </div> <!-- KINK HIGHLIGHT SECTION --> <div class="kink-highlight"> <div class="mc-corner-decor tl"></div> <div class="mc-corner-decor tr"></div> <div class="mc-corner-decor bl"></div> <div class="mc-corner-decor br"></div> <h3 style="margin:0 0 12px 0;color:#ff2a6d;font-family:'Cinzel',serif;text-align:center;text-transform:uppercase;letter-spacing:.14em;font-size:1.1em">✦ Core Capabilities ✦</h3> <p style="text-align:center;color:#8a7f90;font-size:.88em;margin:0;font-family:'Raleway',sans-serif">Optimized for immersive adult narrative experiences</p> <div class="kink-stat-grid"> <div class="kink-stat"> <span class="kink-stat-val">6000+</span> <span class="kink-stat-label">Kink Prompts (In Generator)</span> </div> <div class="kink-stat"> <span class="kink-stat-val">100%</span> <span class="kink-stat-label">Uncensored</span> </div> <div class="kink-stat"> <span class="kink-stat-val">M→F</span> <span class="kink-stat-label">Perspective</span> </div> </div> </div> <div class="mc-ornament"><span>⟡</span></div> <div class="mc-video-wrap"> <span class="mc-video-badge">Gemma 4 Based</span> <video autoplay loop muted playsinline controls style="width:100%;display:block;border-radius:16px"> <source src="https://huggingface.co/spaces/ReadyArt/README/resolve/main/Dark-Scarlett.mp4" type="video/mp4"> </video> </div> <div class="mc-ornament"><span>✦</span></div> <details> <summary>🌹 What Is Dark Scarlett?</summary> <div class="mc-sec"> <p>Inspired by the <strong>spirit of Melody1437</strong>, though trained on a distinct dataset, <strong>Dark Scarlett-31B</strong> 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.</p> <div style="display:flex;align-items:center;justify-content:center;gap:20px;margin:24px 0;flex-wrap:wrap"> <div style="text-align:center;padding:22px 34px;background:linear-gradient(145deg,#0f0c14,#0c0a10);border-radius:14px;border:1px solid rgba(255,42,109,.15);min-width:150px"> <div style="font-family:'JetBrains Mono',monospace;font-size:.68em;text-transform:uppercase;letter-spacing:.14em;color:#8a7f90;margin-bottom:10px">Core Inspiration</div> <div style="font-family:'Cinzel',serif;font-size:1.2em;font-weight:700;color:#ff2a6d">Melody1437 Spirit</div> <div style="font-family:'JetBrains Mono',monospace;font-size:.65em;color:#d90429;margin-top:6px">Distinct Dataset</div> </div> <div style="font-size:1.8em;color:#d90429;text-shadow:0 0 15px rgba(217,4,41,0.4)">⟡</div> <div style="text-align:center;padding:22px 34px;background:linear-gradient(145deg,rgba(255,42,109,.06),rgba(200,114,138,.04));border-radius:14px;border:1px solid rgba(255,42,109,.3);min-width:150px;box-shadow:0 0 25px rgba(255,42,109,.08)"> <div style="font-family:'JetBrains Mono',monospace;font-size:.68em;text-transform:uppercase;letter-spacing:.14em;color:#ff2a6d;margin-bottom:10px">Result</div> <div style="font-family:'Cinzel',serif;font-size:1.4em;font-weight:900;background:linear-gradient(135deg,#ff2a6d,#d90429,#c7728a);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text">Dark Scarlett</div> </div> </div> <div class="mc-warn" style="background:linear-gradient(135deg,rgba(200,114,138,.06),rgba(255,153,170,.04));border-color:rgba(200,114,138,.3);color:#ddb8c8"> ⚠️ <strong>Perspective Note:</strong> Training data strictly follows a Male (User) → Female (AI) perspective for consistent roleplay dynamics. </div> <ul> <li>🧠 <strong>Core Heritage:</strong> Captures the spirit of Melody1437 with diversified scenario prompts</li> <li>🎭 <strong>Group Chat Support:</strong> Includes some training for dynamic group chat interactions</li> <li>🎯 <strong>Perspective:</strong> Optimized for Male User → Female AI interactions</li> <li>📖 <strong>Narrative Flow:</strong> Improved context retention with longer conversation threads in select scenarios</li> </ul> </div> </details> <details> <summary>🧬 Synthetic Life Engine</summary> <div class="mc-sec"> <p>Dataset generated using our advanced <strong>Character Engine</strong> and <strong>Emotional Engine</strong>, creating genuine life and emotional resonance in every interaction.</p> <div class="mc-grid"> <div class="mc-card"> <h4>🎭 Character Engine</h4> <p>Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. Characters remain true to themselves throughout.</p> </div> <div class="mc-card"> <h4>💓 Emotional Engine</h4> <p>Injects dynamic emotional states into responses, creating depth and realistic reactions that breathe life into every exchange.</p> </div> <div class="mc-card"> <h4>✨ Quality Refinement</h4> <p>Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn.</p> </div> <div class="mc-card"> <h4>💬 Dialogue Integrity</h4> <p>Advanced quote normalization ensures balanced dialogue markers, preventing formatting errors and maintaining immersion.</p> </div> </div> </div> </details> <details> <summary>🧠 Training Details & Parameters</summary> <div class="mc-sec"> <p>Fine-tuned using <strong>LoRA (Low-Rank Adaptation)</strong> for efficient and targeted weight adjustment, preserving the base model's capabilities while imprinting new behavioral patterns.</p> <div class="mc-grid"> <div class="mc-card" style="text-align:center"> <h4>🔢 Epochs</h4> <div class="mc-val">1</div> <p class="mc-lbl">Full passes through the training dataset for thorough learning</p> </div> <div class="mc-card" style="text-align:center"> <h4>📐 LoRA Rank</h4> <div class="mc-val">32</div> <p class="mc-lbl">Optimized rank for balanced adaptation and efficiency</p> </div> </div> <table class="mc-tbl"> <thead><tr><th>Parameter</th><th>Value</th></tr></thead> <tbody> <tr><td>Training Method</td><td><strong>LoRA (Low-Rank Adaptation)</strong></td></tr> <tr><td>LoRA Rank (r)</td><td><strong>32</strong></td></tr> <tr><td>Epochs</td><td><strong>1</strong></td></tr> <tr><td>Trained Layers</td><td><strong>Text layers only</strong></td></tr> <tr><td>Feature</td><td><strong>Group Chat Support</strong></td></tr> </tbody> </table> <ul style="margin-top:18px"> <li>🎯 <strong>Method:</strong> LoRA fine-tuning for parameter-efficient adaptation, preserving base knowledge while imprinting new behaviors</li> <li>⚡ <strong>Efficiency:</strong> Only a fraction of parameters updated, keeping the model lean and responsive</li> <li>🎭 <strong>Result:</strong> Maintains coherence while exhibiting the desired personality traits and interaction style</li> </ul> </div> </details> <details> <summary>🔮 Training Process</summary> <div class="mc-sec"> <p>Model weights subjected to <strong>iterative refinement</strong> during data creation. Each conversation underwent multiple checks for stability and alignment.</p> <ul> <li>🔄 <strong>Multi-Turn Generation:</strong> Conversations built turn-by-turn for natural context flow</li> <li>🛡️ <strong>Refusal Filtering:</strong> Automated systems detected and removed unwanted refusals</li> <li>🧹 <strong>Slop Cleaning:</strong> Undesirable phrases identified and rewritten by dedicated assistant models</li> <li>🎪 <strong>Group Chat Training:</strong> Includes some training data focused on multi-user group dynamics</li> </ul> </div> </details> <details> <summary>📚 Dataset Overview</summary> <div class="mc-sec"> <p>Model trained on a <strong>specialized adult-oriented roleplay dataset</strong> with diverse scenarios and emotional contexts, inspired by the spirit of Melody1437, though distinct in composition.</p> <ul> <li>🔞 <strong>Content Rating:</strong> Strictly 18+ (Adults Only)</li> <li>📊 <strong>Dataset Size:</strong> Currently contains 12,211 specialized prompts.</li> <li>📝 <strong>Conversation Depth:</strong> Portions include extended conversations for enhanced roleplay continuity.</li> <li>🎭 <strong>Focus:</strong> Mature themes, immersive roleplay, uncensored dialogue</li> <li>👥 <strong>Perspective:</strong> Male (User) → Female (AI)</li> <li>🧹 <strong>Formatting:</strong> Removed Em dashes, asterisks, and markdown formatting from the dataset for cleaner output.</li> </ul> </div> </details> <details> <summary>📜 Version Notes</summary> <div class="mc-sec"> <ul> <li>⚠️ <strong>Content Warning:</strong> This model can generate mature content. Use responsibly.</li> <li>📉 <strong>Data Limitations:</strong> Trained on a curated dataset (12,211 prompts); performance may vary.</li> <li>🧹 <strong>Clean Output:</strong> Reasoning tags, Em dashes, asterisks, and markdown formatting stripped for cleaner roleplay</li> <li>🔀 <strong>Core Identity:</strong> Trained on the spirit of Melody1437, but utilizes a unique dataset</li> <li>🎪 <strong>Feature:</strong> Includes some training for group chat scenarios</li> <li>🔄 <strong>v2.0 Change:</strong> Same training data and configuration as v1.0, now applied to <strong>Gemma4-Gutenberg-31B</strong> as the base model for enhanced literary quality</li> </ul> </div> </details> <details> <summary>⚙️ Configuration</summary> <div class="mc-sec"> <div class="mc-qlinks"> <!-- Sampler Settings Box --> <div class="mc-card"> <h4>🎛️ Sampler Settings</h4> <p style="margin-bottom:12px;font-size:.78em;color:#8a7f90">Recommended parameters for optimal output</p> <div class="sampler-grid"> <div class="param-box"> <span class="param-val">0.92</span> <span class="param-label">Top-P</span> </div> <div class="param-box"> <span class="param-val">1.0</span> <span class="param-label">Temperature</span> </div> <div class="param-box"> <span class="param-val">0</span> <span class="param-label">Freq Pen</span> </div> <div class="param-box"> <span class="param-val">0</span> <span class="param-label">Presence Pen</span> </div> </div> </div> <!-- GGUF Download Box --> <div class="mc-card"> <h4>📦 GGUF Quantizations</h4> <p style="font-size:.78em;color:#8a7f90">Available formats for local inference</p> <ul class="quant-list"> <li class="quant-item"><span>Q4_K_M</span><span>Decent Quality</span></li> <li class="quant-item"><span>Q5_K_M</span><span>Recommended</span></li> <li class="quant-item"><span>Q6_K</span><span>High Quality</span></li> <li class="quant-item"><span>Q8_0</span><span>Near Lossless</span></li> </ul> <a href="https://huggingface.co/ReadyArt/Dark-Scarlett-v2.0-31B-GGUF" class="mc-btn mc-btn-glow"> <span class="download-icon">⬇</span> View Repository </a> </div> </div> </div> </details> <details> <summary>💖 Credits</summary> <div class="mc-sec"> <ul> <li style="display:flex;align-items:center;margin-bottom:14px;padding:18px 22px;background:linear-gradient(145deg,#0f0c14,#0c0a10);border:1px solid rgba(255,42,109,.12);border-radius:14px;transition:all 0.3s"> <img src="https://huggingface.co/avatars/55f24699e05af4295a9d16ddecd81f8a.svg" alt="GECFDO" class="mc-ava"> <span><strong>GECFDO</strong> — Dataset Generation</span> </li> <li style="display:flex;align-items:center;margin-bottom:14px;padding:18px 22px;background:linear-gradient(145deg,#0f0c14,#0c0a10);border:1px solid rgba(255,42,109,.12);border-radius:14px;transition:all 0.3s"> <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/6759e155bc947d6070775cb9/FW3jKJ-t8iH9MPGeWzyX5.png" alt="FrenzyBiscuit" class="mc-ava"> <span><strong>FrenzyBiscuit</strong> — Fine-Tuning & Dataset Creation</span> </li> </ul> </div> </details> <div class="mc-ornament"><span>⟡</span></div> <div class="mc-sec"> <h2 class="mc-sec-title">🔖 License & Usage</h2> <div class="mc-disclaimer"> <strong>⚠️ Usage Agreement:</strong> By using this model, you accept all terms and conditions. </div> <ul> <li>🛡️ You accept <strong>full responsibility</strong> for all outputs generated</li> <li>🔞 You confirm you are at least <strong>18 years old</strong></li> <li>🌍 Creators bear <strong>no responsibility</strong> for how the model is used</li> <li>🏡 For <strong>personal use only</strong> (non-profit/non-commercial) to the extent legally allowed</li> <li>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).</li> </ul> <div class="mc-tag-container" style="justify-content:flex-start;margin-top:22px"> <span class="mc-tag t1">Apache 2.0</span> <span class="mc-tag t2">Personal Use</span> <span class="mc-tag t-nsfw">18+ Content</span> <span class="mc-tag t4">NSFW</span> </div> </div> </div>