@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(236, 72, 153, 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, #ec4899, #a855f7, #ec4899);
-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(236, 72, 153, 0.3));
}
.model-name span {
font-size: 0.6em;
filter: drop-shadow(0 0 5px rgba(168, 85, 247, 0.5));
color: #a855f7;
-webkit-text-fill-color: #a855f7;
}
.subtitle {
color: #ec4899;
font-size: 1.2em;
margin-top: 10px;
font-weight: 400;
text-align: center;
letter-spacing: 1px;
font-family: 'Roboto Mono', monospace;
font-style: italic;
}
/ TEST CONCEPT BANNER /
.test-concept-banner {
background: linear-gradient(135deg, rgba(245, 158, 11, 0.2) 0%, rgba(217, 119, 6, 0.15) 100%);
border: 2px solid #f59e0b;
color: #fbbf24;
padding: 25px;
border-radius: 8px;
text-align: center;
font-weight: 600;
font-size: 1.1em;
margin: 0 0 25px 0;
letter-spacing: 0.5px;
box-shadow: 0 0 20px rgba(245, 158, 11, 0.25), inset 0 0 30px rgba(245, 158, 11, 0.05);
position: relative;
z-index: 1;
font-family: 'Poppins', sans-serif;
}
.test-concept-banner::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: repeating-linear-gradient(
45deg,
transparent,
transparent 10px,
rgba(245, 158, 11, 0.05) 10px,
rgba(245, 158, 11, 0.05) 20px
);
border-radius: 6px;
pointer-events: none;
}
.test-concept-banner h3 {
color: #fbbf24;
font-family: 'Playfair Display', serif;
font-size: 1.6em;
margin: 0 0 12px 0;
font-weight: 700;
text-transform: uppercase;
letter-spacing: 2px;
text-shadow: 0 0 10px rgba(245, 158, 11, 0.3);
}
.test-concept-banner p {
margin: 8px 0;
font-weight: 500;
line-height: 1.6;
}
.test-concept-banner .emphasis {
color: #fde68a;
font-weight: 700;
font-size: 1.15em;
}
.test-concept-banner .subtext {
color: #d97706;
font-size: 0.9em;
font-weight: 400;
margin-top: 12px;
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 #ec4899;
border-bottom: 2px solid #ec4899;
}
.waifu-container::after {
content: 'GEMMA-4 BASED';
position: absolute;
top: 10px;
right: 10px;
background: #ec4899;
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 #ec4899;
}
.section:hover {
transform: translateY(-2px);
box-shadow: 0 4px 15px rgba(236, 72, 153, 0.15);
background: rgba(42, 59, 85, 0.5);
}
.section-title {
color: #ec4899;
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(236, 72, 153, 0.2);
}
.section-title::after {
content: '';
position: absolute;
bottom: -10px;
left: 25px;
width: 60px;
height: 2px;
background: linear-gradient(90deg, #ec4899, #a855f7);
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 #ec4899;
box-shadow: 0 0 20px rgba(236, 72, 153, 0.1);
position: relative;
overflow: hidden;
border-left: 4px solid #ec4899;
}
.engine-section .section-title {
color: #ec4899 !important;
text-shadow: 0 0 5px rgba(236, 72, 153, 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: #a855f7 !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: #ec4899;
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;
}
/ TRAINING DETAILS /
.training-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 20px;
margin-top: 20px;
}
.training-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);
text-align: center;
}
.training-card h4 {
margin: 0 0 10px 0;
color: #ec4899;
font-family: 'Poppins', sans-serif;
font-weight: 600;
text-transform: uppercase;
font-size: 1.1em;
letter-spacing: 0.5px;
}
.training-card .training-value {
font-size: 2.5em;
font-weight: 700;
color: #a855f7;
font-family: 'Roboto Mono', monospace;
text-shadow: 0 0 10px rgba(168, 85, 247, 0.3);
margin: 10px 0;
}
.training-card .training-label {
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: #a855f7 !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(236, 72, 153, 0.2);
border-color: #ec4899;
}
.link-button {
display: inline-flex;
align-items: center;
justify-content: center;
background: #ec4899;
color: #1a1a2e !important;
padding: 10px 20px;
border-radius: 4px;
text-decoration: none;
border: 1px solid #a855f7;
margin: 10px 0 0 0;
transition: all 0.3s ease;
font-weight: 600;
box-shadow: 0 0 10px rgba(236, 72, 153, 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(168, 85, 247, 0.4);
background: #a855f7;
color: #fff !important;
border-color: #ec4899;
}
/ 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: #ec4899;
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: #ec4899;
border: 1px solid #ec4899;
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: #a855f7; color: #fff; border-color: #a855f7; }
.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(236, 72, 153, 0.1);
border-color: #ec4899;
transform: translateX(5px);
box-shadow: 0 0 10px rgba(236, 72, 153, 0.1);
}
.avatar {
width: 40px;
height: 40px;
border-radius: 50%;
margin-right: 15px;
object-fit: cover;
flex-shrink: 0;
border: 2px solid #ec4899;
box-shadow: 0 0 5px rgba(236, 72, 153, 0.3);
filter: grayscale(0.2);
}
@keyframes pulseIcon {
0%, 100% { opacity: 0.7; text-shadow: 0 0 5px rgba(236, 72, 153, 0.2); }
50% { opacity: 1; text-shadow: 0 0 15px rgba(236, 72, 153, 0.5); }
}
.rune-icon {
display: inline-block;
animation: pulseIcon 3s ease-in-out infinite;
margin: 0 5px;
font-size: 1.2em;
color: #ec4899;
}
@keyframes pulseWarn {
0%, 100% { opacity: 0.85; }
50% { opacity: 1; }
}
.test-concept-banner {
animation: pulseWarn 2s ease-in-out infinite;
}
🌸 For Her Darkside 🌸
26B A4B PARAMETERS
💕 Hey there, handsome! Ready to play? 💕
CONTENT ADVISORY: MATURE THEMES / ADULT INTERACTIONS
This model is designed for mature audiences. Viewer discretion is advised, darling.
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 and feminine essence into every interaction.
🎭 Character Engine
Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. She never breaks character, sweetie.
💓 Emotional Engine
Injects dynamic emotional states into responses, creating depth, empathy, and realistic reactions beyond simple pattern matching. She feels, darling.
✨ Quality Refinement
Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn. No stale conversations here, honey.
💬 Dialogue Integrity
Advanced quote normalization ensures perfectly balanced dialogue markers, preventing formatting errors in roleplay. She speaks beautifully.
🔮 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. She was crafted with care, darling.
🔄 Multi-Turn Generation: Conversations were built turn-by-turn, allowing context to flow naturally, just like a real chat with your bestie.
🛡️ Refusal Filtering: Automated systems detected and removed unwanted refusals during dataset creation. She won't hold back, honey.
🧹 Slop Cleaning: Undesirable phrases were identified and rewritten by dedicated assistant models. Only the best for you, darling.
🧠 Training Details
This model was fine-tuned using LoRA (Low-Rank Adaptation) for efficient and targeted weight adjustment, ensuring her personality shines through while preserving the base model's capabilities, darling.
🔢 Epochs
3
Full passes through the training dataset to ensure thorough learning, sweetie.
📐 LoRA Rank
64
Higher rank for richer adaptation, capturing more nuanced behavior patterns, honey.
🎯 Method: LoRA fine-tuning for parameter-efficient adaptation, preserving base knowledge while imprinting new behaviors.
⚡ Efficiency: Only a fraction of parameters were updated, keeping the model lean and responsive, darling.
🎭 Result: A model that maintains coherence while exhibiting the desired personality traits and interaction style, sweetie.
📚 Dataset Overview
The model's knowledge base was imprinted upon a Explicit Adult ERP dataset,
weaving a vast tapestry of knowledge into her weights during the initial training. This ensures a
rich foundation for all your intimate interactions, darling.
🔞 Content Rating: Strictly 18+ (Adults Only, sweetie)
🎭 Focus: Erotic Roleplay, Mature Themes, Uncensored Dialogue. She's uninhibited, honey.
📜 Version Notes
⚠️ Content Warning: This model is capable of generating NSFW content. Use responsibly, darling.
🧹 Clean Output: Reasoning tags and excessive markdown have been stripped for cleaner roleplay. She keeps it tidy, honey.
🎭 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, darling.
📝 Initialization: Begin sessions with a clear character definition and scenario context. Set the stage, sweetie.
🎭 Format: Use asterisks for actions like this and quotes for dialogue "like this". She appreciates good formatting, honey.
⚠️ Limitation: Standard query-based prompting may result in refusals. She prefers roleplay, darling.
💡 Tip: The model expects balanced quotes. Ensure your input dialogue is properly formatted, sweetie.
⚠️ Technical Note
Only text layers were trained on, darling.
⚙️ Configuration
🎛️ Sampling Config
top_p: 0.95
temp: 0.8
min_p: 0.03
📦 Quantized Files
GGUF Quants Below, honey
View Repository
💖 Credits
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, darling.
🛡️ You accept full responsibility for all outputs generated, honey.
🔞 You confirm you are at least 18 years old, sweetie.
🌍 The creators bear no responsibility for how the model is used, darling.
🏡 To the extent legally allowed under the original decree this model is for personal use only (non-profit/non-commercial), honey.
Apache 2.0
Personal Use
18+ Content
NSFW