musafa901/Dark-Scarlett-v1.0-26B-A4B-GGUF overview
<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&dis…
Runs locally from ~13.45 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Dark-Scarlett-v1.0-26B-A4B-Q4_0.gguf | GGUF | Q4_0 | 13.45 GB | Download |
| Dark-Scarlett-v1.0-26B-A4B-Q4_K_M.gguf | GGUF | Q4_K_M | 15.64 GB | Download |
| Dark-Scarlett-v1.0-26B-A4B-Q5_K_M.gguf | GGUF | Q5_K_M | 17.82 GB | Download |
| Dark-Scarlett-v1.0-26B-A4B-Q6_K.gguf | GGUF | Q6_K | 21.08 GB | Download |
| Dark-Scarlett-v1.0-26B-A4B-Q8_0.gguf | GGUF | Q8_0 | 25.02 GB | Download |
Model Details
Model README
---
base_model:
- ReadyArt/Dark-Scarlett-v1.0-26B-A4B
base_model_relation: quantized
tags:
- gemma-4
- roleplay
- conversational
- instruct
- apache-2.0
- nsfw
- adult-content
- unaligned
- mature
- explicit
- erp
license: apache-2.0
---
<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 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}
/ 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 26B A4B</h1>
<div class="mc-badge">⚡ v1.0</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 Enable:</strong> Use <code>chat_template_kwargs: {"enable_thinking": true, "reasoning_effort": "medium"}</code> in SillyTavern.
</div>
</div>
<div class="mc-ornament"><span>✦</span></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>
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<div class="kink-stat">
<span class="kink-stat-val">100%</span>
<span class="kink-stat-label">Uncensored</span>
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<div class="kink-stat">
<span class="kink-stat-val">M→F</span>
<span class="kink-stat-label">Perspective</span>
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<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-26B</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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<h4>💬 Dialogue Integrity</h4>
<p>Advanced quote normalization ensures balanced dialogue markers, preventing formatting errors and maintaining immersion.</p>
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</div>
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</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>
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<div class="mc-card" style="text-align:center">
<h4>🔢 Epochs</h4>
<div class="mc-val">2</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>2</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>
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</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>
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</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>
</ul>
</div>
</details>
<details>
<summary>⚙️ Configuration</summary>
<div class="mc-sec">
<div class="mc-qlinks">
<!-- Sampler Settings Box -->
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<h4>🎛️ Sampler Settings</h4>
<p style="margin-bottom:12px;font-size:.78em;color:#8a7f90">Recommended parameters for optimal output</p>
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<span class="param-val">0.92</span>
<span class="param-label">Top-P</span>
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<div class="param-box">
<span class="param-val">1.0</span>
<span class="param-label">Temperature</span>
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<div class="param-box">
<span class="param-val">0</span>
<span class="param-label">Freq Pen</span>
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<div class="param-box">
<span class="param-val">0</span>
<span class="param-label">Presence Pen</span>
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<!-- GGUF Download Box -->
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<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-v1.0-26B-A4B-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>📜 Built upon the <strong>Apache 2.0</strong> license</li>
<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>
</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>
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Source: Hugging Face · Compare models