@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@400;600&family=Playfair+Display:ital,wght@0,400;0,700&family=Roboto+Mono:wght@400;500&display=swap');
body {
font-family: 'Poppins', sans-serif;
background: #1a1a2e;
background-image:
radial-gradient(circle at 50% 50%, rgba(76, 201, 240, 0.05) 0%, transparent 70%),
url('https://www.transparenttextures.com/patterns/cubes.png');
color: #e0e0e0;
margin: 0;
padding: 20px;
line-height: 1.6;
}
.container {
max-width: 900px;
margin: 0 auto;
background: rgba(26, 32, 44, 0.95);
border-radius: 8px;
padding: 40px;
box-shadow: 0 4px 30px rgba(0, 0, 0, 0.5), 0 0 0 1px #2a3b55;
border: 1px solid #2a3b55;
position: relative;
overflow: hidden;
backdrop-filter: blur(5px);
}
.header {
text-align: center;
margin-bottom: 30px;
position: relative;
z-index: 1;
border-bottom: 1px solid #2a3b55;
padding-bottom: 15px;
}
.model-name {
background: linear-gradient(45deg, #4cc9f0, #7209b7, #4cc9f0);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
font-family: 'Playfair Display', serif;
font-size: 2.5em;
font-weight: 700;
margin: 0;
letter-spacing: 1px;
display: flex;
justify-content: center;
align-items: center;
gap: 15px;
flex-wrap: wrap;
text-transform: uppercase;
filter: drop-shadow(0 0 5px rgba(76, 201, 240, 0.3));
}
.model-name span {
font-size: 0.6em;
filter: drop-shadow(0 0 5px rgba(114, 9, 183, 0.5));
color: #7209b7;
-webkit-text-fill-color: #7209b7;
}
.subtitle {
color: #4cc9f0;
font-size: 1.2em;
margin-top: 10px;
font-weight: 400;
text-align: center;
letter-spacing: 1px;
font-family: 'Roboto Mono', monospace;
font-style: italic;
}
/ CONTENT WARNING BANNER /
.nsfw-banner {
background: rgba(233, 69, 96, 0.15);
border: 1px solid #e94560;
color: #ff9aa2;
padding: 15px;
border-radius: 6px;
text-align: center;
font-weight: 600;
font-size: 1em;
margin: 20px 0;
letter-spacing: 0.5px;
box-shadow: 0 0 10px rgba(233, 69, 96, 0.2);
position: relative;
z-index: 1;
font-family: 'Poppins', sans-serif;
}
.waifu-container {
margin: 20px -20px;
width: calc(100% + 40px);
overflow: hidden;
border-radius: 0;
border: 1px solid #2a3b55;
box-shadow: 0 4px 10px rgba(0,0,0,0.3);
position: relative;
z-index: 1;
background: #0f151f;
margin-bottom: 30px;
border-top: 2px solid #4cc9f0;
border-bottom: 2px solid #4cc9f0;
}
.waifu-container::after {
content: 'GEMMA-4 BASED';
position: absolute;
top: 10px;
right: 10px;
background: #4cc9f0;
color: #1a1a2e;
font-family: 'Poppins', sans-serif;
font-weight: 600;
padding: 5px 10px;
font-size: 0.8em;
border-radius: 4px;
z-index: 2;
border: 1px solid #fff;
}
.waifu-img {
width: 100%;
height: auto;
display: block;
transition: transform 0.5s ease;
filter: contrast(1.05) brightness(0.9);
}
.waifu-img:hover {
transform: scale(1.01);
filter: contrast(1) brightness(1);
}
.section {
margin: 25px 0;
padding: 25px;
background: rgba(42, 59, 85, 0.3);
border-radius: 8px;
border: 1px solid #2a3b55;
box-shadow: 0 2px 5px rgba(0,0,0,0.3);
transition: all 0.3s ease;
position: relative;
z-index: 1;
border-left: 4px solid #4cc9f0;
}
.section:hover {
transform: translateY(-2px);
box-shadow: 0 4px 15px rgba(76, 201, 240, 0.15);
background: rgba(42, 59, 85, 0.5);
}
.section-title {
color: #4cc9f0;
font-family: 'Playfair Display', serif;
font-size: 1.8em;
margin-top: 0;
font-weight: 700;
display: flex;
align-items: center;
gap: 10px;
letter-spacing: 0.5px;
text-shadow: 0 0 5px rgba(76, 201, 240, 0.2);
}
.section-title::after {
content: '';
position: absolute;
bottom: -10px;
left: 25px;
width: 60px;
height: 2px;
background: linear-gradient(90deg, #4cc9f0, #7209b7);
border-radius: 2px;
}
/ ARCHITECTURE SECTION /
.engine-section {
background: linear-gradient(135deg, rgba(42, 59, 85, 0.4) 0%, rgba(15, 21, 31, 0.6) 100%);
color: #e0e0e0 !important;
border: 1px solid #4cc9f0;
box-shadow: 0 0 20px rgba(76, 201, 240, 0.1);
position: relative;
overflow: hidden;
border-left: 4px solid #4cc9f0;
}
.engine-section .section-title {
color: #4cc9f0 !important;
text-shadow: 0 0 5px rgba(76, 201, 240, 0.4);
}
.engine-section p, .engine-section li {
color: #e0e0e0 !important;
font-weight: 400;
font-size: 1em;
line-height: 1.6;
}
.engine-section strong {
color: #7209b7 !important;
font-weight: 600;
}
.engine-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 20px;
margin-top: 20px;
}
.engine-card {
background: rgba(15, 21, 31, 0.5);
padding: 20px;
border-radius: 6px;
border: 1px solid #2a3b55;
box-shadow: 0 2px 5px rgba(0,0,0,0.3);
}
.engine-card h4 {
margin: 0 0 10px 0;
color: #4cc9f0;
font-family: 'Poppins', sans-serif;
font-weight: 600;
text-transform: uppercase;
font-size: 1.1em;
letter-spacing: 0.5px;
}
.engine-card p {
color: #e0e0e0 !important;
font-weight: 400;
font-size: 0.95em;
}
/ LINK CARDS & SETTINGS /
.quant-links {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 15px;
margin: 20px 0;
}
.link-card {
padding: 20px;
background: linear-gradient(135deg, rgba(42, 59, 85, 0.4) 0%, rgba(15, 21, 31, 0.6) 100%);
border-radius: 6px;
border: 1px solid #2a3b55;
transition: all 0.3s ease;
box-shadow: 0 2px 5px rgba(0,0,0,0.3);
text-align: center;
font-weight: 500;
color: #e0e0e0;
display: flex;
flex-direction: column;
justify-content: center;
}
.link-card h3 {
color: #7209b7 !important;
font-family: 'Poppins', sans-serif;
font-weight: 600;
font-size: 1.2em;
margin-top: 0;
margin-bottom: 15px;
text-transform: uppercase;
letter-spacing: 0.5px;
}
.link-card p {
color: #e0e0e0 !important;
font-weight: 500;
font-size: 1em;
margin: 10px 0;
line-height: 1.5;
}
.link-card:hover {
transform: translateY(-3px);
box-shadow: 0 0 15px rgba(76, 201, 240, 0.2);
border-color: #4cc9f0;
}
.link-button {
display: inline-flex;
align-items: center;
justify-content: center;
background: #4cc9f0;
color: #1a1a2e !important;
padding: 10px 20px;
border-radius: 4px;
text-decoration: none;
border: 1px solid #7209b7;
margin: 10px 0 0 0;
transition: all 0.3s ease;
font-weight: 600;
box-shadow: 0 0 10px rgba(76, 201, 240, 0.3);
width: 100%;
box-sizing: border-box;
text-transform: uppercase;
letter-spacing: 1px;
font-family: 'Poppins', sans-serif;
}
.link-button:hover {
transform: scale(1.02);
box-shadow: 0 0 20px rgba(114, 9, 183, 0.4);
background: #7209b7;
color: #fff !important;
border-color: #4cc9f0;
}
/ LISTS & DISCLAIMER /
.section ul {
padding-left: 20px;
}
.section li {
margin-bottom: 10px;
color: #e0e0e0 !important;
font-weight: 400;
line-height: 1.5;
}
.section strong {
color: #4cc9f0;
font-weight: 600;
}
.disclaimer {
color: #ff9aa2;
border-left: 5px solid #e94560;
padding-left: 20px;
margin: 20px 0;
background: rgba(233, 69, 96, 0.1);
padding: 20px;
border-radius: 0 6px 6px 0;
font-weight: 500;
box-shadow: inset 5px 0 10px rgba(233, 69, 96, 0.1);
border: 1px solid #e94560;
font-family: 'Poppins', sans-serif;
}
.badge {
display: inline-block;
padding: 6px 12px;
border-radius: 4px;
background: #2a3b55;
color: #4cc9f0;
border: 1px solid #4cc9f0;
margin: 5px;
font-size: 0.8em;
font-weight: 600;
box-shadow: 0 0 5px rgba(0,0,0,0.3);
text-transform: uppercase;
font-family: 'Roboto Mono', monospace;
letter-spacing: 0.5px;
}
.badge:nth-child(2) { background: #7209b7; color: #fff; border-color: #7209b7; }
.badge:nth-child(3) { background: #1a1a2e; color: #ff9aa2; border-color: #e94560; }
.badge:nth-child(4) { background: #2a3b55; color: #ff9aa2; border-color: #e94560; }
/ CREDITS SECTION /
.credit-list {
list-style-type: none;
padding: 0;
margin: 0;
}
.credit-list li {
display: flex;
align-items: center;
margin-bottom: 10px;
padding: 15px;
background-color: rgba(42, 59, 85, 0.3);
border: 1px solid #2a3b55;
border-radius: 6px;
transition: all 0.3s ease;
box-shadow: 0 2px 5px rgba(0,0,0,0.3);
font-weight: 500;
color: #e0e0e0 !important;
font-family: 'Poppins', sans-serif;
}
.credit-list li:hover {
background-color: rgba(76, 201, 240, 0.1);
border-color: #4cc9f0;
transform: translateX(5px);
box-shadow: 0 0 10px rgba(76, 201, 240, 0.1);
}
.avatar {
width: 40px;
height: 40px;
border-radius: 50%;
margin-right: 15px;
object-fit: cover;
flex-shrink: 0;
border: 2px solid #4cc9f0;
box-shadow: 0 0 5px rgba(76, 201, 240, 0.3);
filter: grayscale(0.2);
}
@keyframes pulseIcon {
0%, 100% { opacity: 0.7; text-shadow: 0 0 5px rgba(76, 201, 240, 0.2); }
50% { opacity: 1; text-shadow: 0 0 15px rgba(76, 201, 240, 0.5); }
}
.rune-icon {
display: inline-block;
animation: pulseIcon 3s ease-in-out infinite;
margin: 0 5px;
font-size: 1.2em;
color: #4cc9f0;
}
✦ Melody1437 v1.1 ✦
31B PARAMETERS
✨ It's a fabulous day! ✨
Thinking should be fixed
CONTENT ADVISORY: MATURE THEMES / ADULT INTERACTIONS
This model is designed for mature audiences. Viewer discretion is advised.
Your browser does not support the video tag.
🧬 Synthetic Life Engine
The dataset was generated using our advanced Character Engine and Emotional Engine
within the synthetic dataset generator, breathing genuine life into every interaction.
🎭 Character Engine
Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. No more broken personas.
💓 Emotional Engine
Injects dynamic emotional states into responses, creating depth, empathy, and realistic reactions beyond simple pattern matching.
✨ Quality Refinement
Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn.
💬 Dialogue Integrity
Advanced quote normalization ensures perfectly balanced dialogue markers, preventing formatting errors in roleplay.
🔮 Training Process
The model weights were subjected to iterative refinement during data creation.
Each conversation underwent multiple checks to ensure stability and alignment with the desired interaction style.
🔄 Multi-Turn Generation: Conversations were built turn-by-turn, allowing context to flow naturally.
🛡️ Refusal Filtering: Automated systems detected and removed unwanted refusals during dataset creation.
🧹 Slop Cleaning: Undesirable phrases were identified and rewritten by dedicated assistant models.
📚 Dataset Overview
The model's knowledge base was imprinted upon a Explicit Adult ERP dataset,
weaving a vast tapestry of knowledge into its weights during the initial training. This ensures a
rich foundation for all future interactions.
🔞 Content Rating: Strictly 18+ (Adults Only)
🎭 Focus: Erotic Roleplay, Mature Themes, Uncensored Dialogue
🌈 Diversity: Generated using variable system prompts and emotional states for varied responses.
📜 Version Notes
⚠️ Content Warning: This model is capable of generating NSFW content. Use responsibly.
🧹 Clean Output: Reasoning tags and excessive markdown have been stripped for cleaner roleplay.
🎭 Usage Guidelines
To unlock the full potential of this model, a structured roleplay system prompt is required.
This model is optimized for immersive character interaction rather than standard instructional queries.
📝 Initialization: Begin sessions with a clear character definition and scenario context.
🎭 Format: Use asterisks for actions like this and quotes for dialogue "like this".
⚠️ Limitation: Standard query-based prompting may result in refusals.
💡 Tip: The model expects balanced quotes. Ensure your input dialogue is properly formatted.
⚠️ Technical Note
Only text layers were trained on.
⚙️ Configuration
🎛️ Sampling Config
top_p: 0.95
temp: 0.8
min_p: 0.03
📦 Quantized Files
GGUF Quants Below
View Repository
💖 Credits
Darkhn – Fixing Thinking
GECFDO – Data Generation & iMatrix Quants
Sleep Deprived – Dataset Generator
FrenzyBiscuit – Fine-Tuning & Dataset Creation
🔖 License & Usage
⚠️ USAGE AGREEMENT:
📜 This model is built upon the Apache 2.0 license.
🛡️ You accept full responsibility for all outputs generated.
🔞 You confirm you are at least 18 years old.
🌍 The creators bear no responsibility for how the model is used.
🏡 To the extent legally allowed under the original decree this model is for personal use only (non-profit/non-commercial).
Apache 2.0
Personal Use
18+ Content
NSFW