.mc-wrap{background:#0d1117;color:#c9d1d9;font-family:'Inter',sans-serif;max-width:920px;margin:0 auto;padding:24px;border-radius:16px;box-sizing:border-box}
.mc-wrap *{box-sizing:border-box}
.mc-wrap h1,.mc-wrap h2,.mc-wrap h3,.mc-wrap h4{color:#e6edf3;border:none}
.mc-wrap p{color:#c9d1d9}
.mc-wrap strong{color:#7ee8d0}
.mc-wrap a{color:#7ee8d0;text-decoration:none}
.mc-wrap ul{list-style:none;padding-left:0;margin:0}
.mc-wrap li{color:#c9d1d9;margin-bottom:8px;padding-left:4px}
.mc-wrap code{background:#161b22;color:#7ee8d0;padding:2px 8px;border-radius:4px;font-family:'JetBrains Mono',monospace;font-size:.88em;border:1px solid rgba(126,232,208,.15)}
.mc-hdr{text-align:center;padding:40px 32px;background:#0d1117;border:1px solid #21262d;border-radius:24px;margin-bottom:20px;position:relative;overflow:hidden}
.mc-hdr::before{content:'';position:absolute;top:0;left:0;right:0;height:3px;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd)}
.mc-name{font-family:'Space Grotesk',sans-serif;font-size:2.8em;font-weight:800;margin:0;letter-spacing:-.02em;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text;line-height:1.2}
.mc-badge{display:inline-flex;align-items:center;gap:6px;background:rgba(126,232,208,.12);border:1px solid rgba(126,232,208,.3);padding:6px 16px;border-radius:100px;font-family:'JetBrains Mono',monospace;font-size:.85em;font-weight:600;color:#7ee8d0;margin-top:16px}
.mc-sub{color:#8b949e;font-size:1.05em;margin-top:12px;font-weight:400;font-style:italic}
.mc-warn{padding:14px 24px;border-radius:12px;margin:16px 0;font-weight:500;font-size:.88em;line-height:1.6;background:rgba(167,139,250,.08);border:1px solid rgba(167,139,250,.3);color:#d2b4fc;text-align:center}
.mc-sec{margin:16px 0;padding:24px 28px;background:#0d1117;border:1px solid #21262d;border-radius:16px;position:relative;overflow:hidden}
.mc-sec::before{content:'';position:absolute;top:0;left:0;width:4px;height:100%;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);opacity:.8}
.mc-sec-title{font-family:'Space Grotesk',sans-serif;font-size:1.4em;font-weight:700;margin:0 0 16px 0;color:#e6edf3;display:flex;align-items:center;gap:10px}
.mc-grid{display:grid;grid-template-columns:1fr 1fr;gap:16px;margin-top:16px}
.mc-card{background:#161b22;padding:20px;border-radius:12px;border:1px solid #21262d}
.mc-card h4{margin:0 0 10px 0;color:#7ee8d0;font-family:'Space Grotesk',sans-serif;font-weight:600;font-size:1em}
.mc-card p{color:#c9d1d9;font-size:.88em;margin:0;line-height:1.6}
.mc-val{font-family:'Space Grotesk',sans-serif;font-size:2.8em;font-weight:800;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text;margin:8px 0;line-height:1}
.mc-lbl{color:#8b949e;font-size:.85em;line-height:1.5;margin:0}
.mc-tbl{width:100%;border-collapse:separate;border-spacing:0;margin-top:16px;font-family:'JetBrains Mono',monospace;border-radius:12px;border:1px solid #21262d;overflow:hidden}
.mc-tbl th{background:rgba(126,232,208,.08);color:#7ee8d0;padding:12px 20px;text-align:left;font-weight:600;font-size:.75em;text-transform:uppercase;letter-spacing:.08em;border-bottom:1px solid #21262d}
.mc-tbl td{padding:12px 20px;border-bottom:1px solid #21262d;color:#c9d1d9;font-size:.88em;background:#161b22}
.mc-tbl tr:last-child td{border-bottom:none}
.mc-tbl td strong{color:#a78bfa}
.mc-qlinks{display:grid;grid-template-columns:repeat(auto-fit,minmax(220px,1fr));gap:16px;margin:16px 0}
.mc-btn{display:inline-flex;align-items:center;justify-content:center;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);color:#0d1117;padding:10px 24px;border-radius:8px;text-decoration:none;border:none;margin:12px 0 0 0;font-weight:600;font-size:.85em;letter-spacing:.04em;text-transform:uppercase;font-family:'Inter',sans-serif;box-shadow:0 4px 12px rgba(126,232,208,.25)}
.mc-ava{width:44px;height:44px;border-radius:50%;margin-right:16px;object-fit:cover;border:2px solid #7ee8d0}
.mc-disclaimer{border-left:3px solid #f0883e;padding:14px 20px;background:rgba(240,136,62,.06);border-radius:0 12px 12px 0;color:#f0883e;font-size:.9em;margin:16px 0}
.mc-tag{display:inline-flex;align-items:center;padding:5px 12px;border-radius:100px;font-size:.72em;font-weight:600;letter-spacing:.06em;text-transform:uppercase;font-family:'JetBrains Mono',monospace;margin:4px}
.t1{background:rgba(126,232,208,.12);color:#7ee8d0;border:1px solid rgba(126,232,208,.3)}
.t2{background:rgba(167,139,250,.12);color:#a78bfa;border:1px solid rgba(167,139,250,.3)}
.t3{background:rgba(196,181,253,.12);color:#c4b5fd;border:1px solid rgba(196,181,253,.3)}
.t4{background:rgba(240,136,62,.12);color:#f0883e;border:1px solid rgba(240,136,62,.3)}
details summary{cursor:pointer;font-family:'Space Grotesk',sans-serif;font-size:1.4em;font-weight:700;color:#e6edf3;padding:24px 28px;background:#161b22;border:1px solid #21262d;border-radius:16px;position:relative;list-style:none;display:flex;align-items:center;gap:10px}
details summary::-webkit-details-marker{display:none}
details summary::before{content:'▶';font-size:.7em;transition:transform .2s}
details[open] summary::before{transform:rotate(90deg)}
details summary::after{content:'';position:absolute;top:0;left:0;width:4px;height:100%;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);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}
.mc-video-wrap{position:relative;margin:16px 0;border-radius:16px;overflow:hidden;border:2px solid #7ee8d0}
.mc-video-badge{position:absolute;top:10px;right:10px;background:#7ee8d0;color:#0d1117;font-family:'Inter',sans-serif;font-weight:600;padding:5px 10px;font-size:.8em;border-radius:4px;z-index:2;border:1px solid #161b22}
/ New Fancy Styles /
.sampler-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 12px; margin-top: 15px; }
.param-box { background: rgba(126, 232, 208, 0.05); border: 1px solid rgba(126, 232, 208, 0.2); padding: 12px; border-radius: 8px; text-align: center; transition: all 0.2s ease; }
.param-box:hover { background: rgba(126, 232, 208, 0.1); border-color: rgba(126, 232, 208, 0.4); }
.param-val { font-family: 'JetBrains Mono', monospace; font-size: 1.5em; font-weight: 700; color: #7ee8d0; display: block; margin-bottom: 4px; }
.param-label { font-size: 0.7em; color: #8b949e; text-transform: uppercase; letter-spacing: 0.05em; }
.quant-list { list-style: none; padding: 0; margin: 15px 0; }
.quant-item { display: flex; justify-content: space-between; padding: 8px 0; border-bottom: 1px solid #21262d; font-size: 0.85em; color: #c9d1d9; }
.quant-item:last-child { border-bottom: none; }
.quant-item span:first-child { font-family: 'JetBrains Mono', monospace; color: #a78bfa; }
.mc-btn-glow { box-shadow: 0 0 15px rgba(126, 232, 208, 0.4); transition: all 0.3s ease; width: 100%; }
.mc-btn-glow:hover { box-shadow: 0 0 25px rgba(126, 232, 208, 0.6); transform: translateY(-2px); }
.download-icon { margin-right: 8px; }
@media(max-width:640px){.mc-wrap{padding:12px}.mc-name{font-size:2em}.mc-grid{grid-template-columns:1fr}.mc-qlinks{grid-template-columns:1fr}}
Serenity-31B
⚡ v1.1
Balance achieved. Control surrendered.
Note for thinking to work, you must use "chat_template_kwargs": {"enable_thinking": true, "reasoning_effort": "medium"} in SillyTavern's Chat Completion / Additional Parameters.
IQ4_XS has broken thinking. Q4_K_M seems to work with the above settings.
Content Advisory: Mature Themes / Adult Interactions — Intended for mature audiences only.
GEMMA-4 BASED
🌊 What Is Serenity?
Born from the convergence of two lineages, Serenity-31B harmonizes the best of both worlds — the expressive depth of Melody and the immersive presence of Darkside — into a single, balanced model.
Lineage A
Melody1437
Male → Female Perspective
✦
Lineage B
Darkside
Female → Male Perspective
→
Hybrid
Serenity
⚠️ Perspective Note: Due to the merger of opposing perspective lineages, this tune may occasionally exhibit perspective confusion.
🧠 Dual Heritage: Combines Melody's male → female perspective with Darkside's female → male perspective
⚖️ Balanced Tone: Refined personality that flows naturally without overwhelming the narrative
🎭 Enhanced Depth: LoRA 80 captures nuanced behavioral patterns from both parent approaches
🧬 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
2
Full passes through the training dataset for thorough learning
📐 LoRA Rank
80
Higher rank for richer adaptation and nuanced expression
ParameterValue
Training MethodLoRA (Low-Rank Adaptation)
LoRA Rank (r)80
Epochs2
Trained LayersText layers only
🎯 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
📚 Dataset Overview
Model trained on a specialized adult-oriented roleplay dataset with diverse scenarios and emotional contexts, drawing from the strengths of both parent lineages.
🔞 Content Rating: Strictly 18+ (Adults Only)
🎭 Focus: Mature themes, immersive roleplay, uncensored dialogue
📜 Version Notes
⚠️ Content Warning: This model can generate mature content. Use responsibly.
🧹 Clean Output: Reasoning tags and excessive markdown stripped for cleaner roleplay
🔀 Hybrid Lineage: Combines the male → female perspective of Melody1437 with the female → male perspective of Darkside into a unified, balanced model
⚙️ 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 — Data Generation & iMatrix Quants
Sleep Deprived — Dataset Generator
FrenzyBiscuit — Fine-Tuning & Dataset Creation
🔖 License & Usage
⚠️ Usage Agreement: By using this model, you accept all terms and conditions.
📜 Built upon the Apache 2.0 license
🛡️ 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
Personal Use
18+ Content
NSFW