musafa901/Melody1437-26B-A4B-v2.0-GGUF overview
<style @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…
Runs locally from ~54.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Melody1437-26B-A4B-v2.0-HB16-Q4_K_M.gguf | GGUF | Q4_K_M | 16.45 GB | Download |
| Melody1437-26B-A4B-v2.0-HB16-Q5_K_M.gguf | GGUF | Q5_K_M | 18.63 GB | Download |
| Melody1437-26B-A4B-v2.0-HB16-Q6_K.gguf | GGUF | Q6_K | 21.89 GB | Download |
| Melody1437-26B-A4B-v2.0-HB16-Q8_0.gguf | GGUF | Q8_0 | 25.66 GB | Download |
| Melody1437-26B-A4B-v2.0-Q4_K_M.gguf | GGUF | Q4_K_M | 15.64 GB | Download |
| Melody1437-26B-A4B-v2.0-Q5_K_M.gguf | GGUF | Q5_K_M | 17.82 GB | Download |
| Melody1437-26B-A4B-v2.0-Q6_K.gguf | GGUF | Q6_K | 21.08 GB | Download |
| Melody1437-26B-A4B-v2.0-Q8_0.gguf | GGUF | Q8_0 | 25.02 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-IQ2_XS_hb16.gguf | GGUF | IQ2_XS_HB16 | 10.04 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-IQ3_XS_hb16.gguf | GGUF | IQ3_XS_HB16 | 11.65 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-IQ4_NL_hb16.gguf | GGUF | IQ4_NL_HB16 | 14.26 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-IQ4_XS_hb16.gguf | GGUF | IQ4_XS_HB16 | 13.77 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-Q3_K_M_hb16.gguf | GGUF | Q3_K_M_HB16 | 13.19 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-Q4_K_M_hb16.gguf | GGUF | Q4_K_M_HB16 | 16.45 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-Q4_K_S_hb16.gguf | GGUF | Q4_K_S_HB16 | 15.21 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-Q5_K_M_hb16.gguf | GGUF | Q5_K_M_HB16 | 18.63 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-Q5_K_S_hb16.gguf | GGUF | Q5_K_S_HB16 | 17.56 GB | Download |
| Melody1437-26B-A4B-v2.0.i1-Q6_K_hb16.gguf | GGUF | Q6_K_HB16 | 21.89 GB | Download |
| imatrix.gguf | GGUF | GGUF | 54.3 MB | Download |
Model Details
Model README
---
base_model:
- ReadyArt/Melody1437-26B-A4B-v2.0
base_model_relation: quantized
tags:
- gemma-4
- roleplay
- conversational
- instruct
- apache-2.0
- nsfw
- explicit
- erp
- adult-content
- mature
- unaligned
license: apache-2.0
---
<style>
@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;
}
/ EVOLUTION NOTICE /
.evolution-banner {
background: linear-gradient(135deg, rgba(114, 9, 183, 0.15) 0%, rgba(76, 201, 240, 0.15) 100%);
border: 1px solid #7209b7;
color: #e0e0e0;
padding: 20px;
border-radius: 6px;
text-align: center;
font-weight: 500;
font-size: 1em;
margin: 20px 0;
position: relative;
z-index: 1;
font-family: 'Poppins', sans-serif;
}
.evolution-banner strong {
color: #4cc9f0;
}
.evolution-banner .highlight {
color: #7209b7;
font-weight: 700;
font-size: 1.1em;
}
/ 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;
}
/ COMPARISON BOX /
.comparison-box {
display: flex;
align-items: center;
justify-content: center;
gap: 25px;
margin: 20px 0;
padding: 20px;
background: rgba(15, 21, 31, 0.5);
border-radius: 6px;
border: 1px solid #2a3b55;
flex-wrap: wrap;
}
.comparison-item {
text-align: center;
padding: 15px 30px;
background: rgba(42, 59, 85, 0.3);
border-radius: 6px;
border: 1px solid #2a3b55;
}
.comparison-item.upgraded {
border-color: #4cc9f0;
box-shadow: 0 0 15px rgba(76, 201, 240, 0.15);
}
.comparison-label {
font-family: 'Roboto Mono', monospace;
font-size: 0.75em;
text-transform: uppercase;
letter-spacing: 1px;
color: #888;
margin-bottom: 5px;
}
.comparison-item.upgraded .comparison-label {
color: #4cc9f0;
}
.comparison-value {
font-family: 'Roboto Mono', monospace;
font-size: 1.4em;
font-weight: 700;
color: #e0e0e0;
}
.comparison-item.upgraded .comparison-value {
color: #4cc9f0;
}
.comparison-arrow {
font-size: 1.5em;
color: #7209b7;
}
/ 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;
}
/ TRAINING PARAMS TABLE /
.params-table {
width: 100%;
border-collapse: collapse;
margin-top: 15px;
font-family: 'Roboto Mono', monospace;
}
.params-table th {
background: rgba(76, 201, 240, 0.15);
color: #4cc9f0;
padding: 12px 15px;
text-align: left;
font-weight: 600;
font-size: 0.9em;
text-transform: uppercase;
letter-spacing: 0.5px;
border-bottom: 2px solid #4cc9f0;
}
.params-table td {
padding: 12px 15px;
border-bottom: 1px solid #2a3b55;
color: #e0e0e0;
font-size: 0.95em;
}
.params-table tr:hover td {
background: rgba(76, 201, 240, 0.05);
color: #fff;
}
.params-table td strong {
color: #7209b7 !important;
}
</style>
<div class="container">
<div class="header">
<h1 class="model-name">
<span class="rune-icon">✦</span> Melody1437-26B-A4B <span class="rune-icon">✦</span>
</h1>
<h2 style="font-size:1.5em; margin:10px 0; color:#4cc9f0; font-weight:500; font-family: 'Roboto Mono', monospace;">v2.0</h2>
<p class="subtitle">✨ It's a fabulous day! ✨</p>
</div>
<!-- EVOLUTION NOTICE -->
<div class="evolution-banner">
<strong>⚡ Evolutionary Upgrade:</strong> This is the <strong>same dataset</strong> as <span class="highlight">Melody1437-26B-A4B</span>,
retrained at a <span class="highlight">higher LoRA rank (64)</span> for enhanced expressiveness and capability.
</div>
<!-- CONTENT WARNING BANNER -->
<div class="nsfw-banner">
CONTENT ADVISORY: MATURE THEMES / ADULT INTERACTIONS<br>
<span style="font-size: 0.8em; font-weight: 400; text-transform: none;">This model is designed for mature audiences. Viewer discretion is advised.</span>
</div>
<div class="waifu-container">
<video class="waifu-img" autoplay loop muted playsinline controls>
<source src="https://huggingface.co/spaces/ReadyArt/README/resolve/main/Melody-v0.5.mp4" type="video/mp4">
Your browser does not support the video tag.
</video>
</div>
<div class="section" style="border-left: 4px solid #7209b7;">
<h2 class="section-title" style="color: #7209b7;">🔄 What Changed?</h2>
<p style="font-size: 1.1em; line-height: 1.6; margin-bottom: 15px;">
This model builds upon the foundation of <strong>Melody1437-26B-A4B</strong>, using the <strong>identical dataset</strong>
but with an upgraded LoRA configuration. The higher rank allows the model to capture more nuanced patterns
and deliver richer, more expressive outputs.
</p>
<div class="comparison-box">
<div class="comparison-item">
<div class="comparison-label">Original</div>
<div class="comparison-value">LoRA 24</div>
</div>
<div class="comparison-arrow">➡️</div>
<div class="comparison-item upgraded">
<div class="comparison-label">Evolved</div>
<div class="comparison-value">LoRA 64</div>
</div>
</div>
<ul>
<li>🧠 <strong>Same Dataset:</strong> Identical training data to Melody1437-26B-A4B</li>
<li>⚡ <strong>Higher LoRA Rank:</strong> 64 (vs original 24) for greater expressiveness</li>
<li>🎭 <strong>Enhanced Nuance:</strong> Captures subtleties the lower rank couldn't fully express</li>
</ul>
</div>
<div class="section engine-section">
<h2 class="section-title">🧬 Synthetic Life Engine</h2>
<p style="font-size: 1.2em; margin-bottom: 20px;">
The dataset was generated using our advanced <strong>Character Engine</strong> and <strong>Emotional Engine</strong>
within the synthetic dataset generator, breathing genuine life into every interaction.
</p>
<div class="engine-grid">
<div class="engine-card">
<h4>🎭 Character Engine</h4>
<p style="margin:0;">Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. No more broken personas.</p>
</div>
<div class="engine-card">
<h4>💓 Emotional Engine</h4>
<p style="margin:0;">Injects dynamic emotional states into responses, creating depth, empathy, and realistic reactions beyond simple pattern matching.</p>
</div>
<div class="engine-card">
<h4>✨ Quality Refinement</h4>
<p style="margin:0;">Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn.</p>
</div>
<div class="engine-card">
<h4>💬 Dialogue Integrity</h4>
<p style="margin:0;">Advanced quote normalization ensures perfectly balanced dialogue markers, preventing formatting errors in roleplay.</p>
</div>
</div>
</div>
<div class="section">
<h2 class="section-title">🔮 Training Process</h2>
<p style="font-size: 1.1em; line-height: 1.6;">
The model weights were subjected to <strong>iterative refinement</strong> during data creation.
Each conversation underwent multiple checks to ensure stability and alignment with the desired interaction style.
</p>
<ul>
<li>🔄 <strong>Multi-Turn Generation:</strong> Conversations were built turn-by-turn, allowing context to flow naturally.</li>
<li>🛡️ <strong>Refusal Filtering:</strong> Automated systems detected and removed unwanted refusals during dataset creation.</li>
<li>🧹 <strong>Slop Cleaning:</strong> Undesirable phrases were identified and rewritten by dedicated assistant models.</li>
</ul>
</div>
<div class="section engine-section">
<h2 class="section-title">🛠️ Training Parameters</h2>
<p style="font-size: 1.1em; line-height: 1.6; margin-bottom: 15px;">
This model was fine-tuned using <strong>LoRA (Low-Rank Adaptation)</strong> with the following configuration:
</p>
<table class="params-table">
<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>64</strong></td>
</tr>
<tr>
<td>Epochs</td>
<td><strong>3</strong></td>
</tr>
</tbody>
</table>
</div>
<div class="section">
<h2 class="section-title">📚 Dataset Overview</h2>
<p style="font-size: 1.1em; line-height: 1.6;">
The model's knowledge base was imprinted upon a <strong>Explicit Adult ERP dataset</strong>,
weaving a vast tapestry of knowledge into its weights during the initial training. This ensures a
rich foundation for all future interactions.
</p>
<ul>
<li>🔞 <strong>Content Rating:</strong> Strictly 18+ (Adults Only)</li>
<li>🎭 <strong>Focus:</strong> Erotic Roleplay, Mature Themes, Uncensored Dialogue</li>
<li>🌈 <strong>Diversity:</strong> Generated using variable system prompts and emotional states for varied responses.</li>
</ul>
</div>
<div class="section">
<h2 class="section-title">📜 Version Notes</h2>
<ul>
<li>⚠️ <strong>Content Warning:</strong> This model is capable of generating NSFW content. Use responsibly.</li>
<li>🧹 <strong>Clean Output:</strong> Reasoning tags and excessive markdown have been stripped for cleaner roleplay.</li>
<li>⬆️ <strong>Evolution:</strong> Same dataset as Melody1437-26B-A4B, retrained at LoRA 64 for enhanced performance.</li>
</ul>
</div>
<div class="section">
<h2 class="section-title">🎭 Usage Guidelines</h2>
<p style="font-size: 1.1em; line-height: 1.6;">
To unlock the full potential of this model, <strong>a structured roleplay system prompt is required</strong>.
This model is optimized for immersive character interaction rather than standard instructional queries.
</p>
<ul>
<li>📝 <strong>Initialization:</strong> Begin sessions with a clear character definition and scenario context.</li>
<li>🎭 <strong>Format:</strong> Use asterisks for actions <code>like this</code> and quotes for dialogue <code>"like this"</code>.</li>
<li>⚠️ <strong>Limitation:</strong> Standard query-based prompting may result in refusals.</li>
<li>💡 <strong>Tip:</strong> The model expects balanced quotes. Ensure your input dialogue is properly formatted.</li>
</ul>
</div>
<div class="section" style="border: 3px solid #e94560; background: rgba(233, 69, 96, 0.1); box-shadow: 0 0 20px rgba(233, 69, 96, 0.1);">
<h2 class="section-title" style="color: #ff9aa2;">⚠️ Technical Note</h2>
<p style="color: #ff9aa2; font-weight: 600; font-size: 1.2em; text-align: center; margin: 20px 0; text-transform: none; letter-spacing: 0.5px;">
Only text layers were trained on.
</p>
</div>
<div class="section">
<h2 class="section-title">⚙️ Configuration</h2>
<div class="quant-links">
<div class="link-card">
<h3>🎛️ Sampling Config</h3>
<p>top_p: <strong>0.95</strong> <br> temp: <strong>0.8</strong> <br> min_p: <strong>0.03</strong></p>
</div>
<div class="link-card">
<h3>📦 Quantized Files</h3>
<p>GGUF Quants Below</p>
<a href="https://huggingface.co/ReadyArt/Melody1437-26B-A4B-v2.0-GGUF" class="link-button">View Repository</a>
</div>
</div>
</div>
<div class="section">
<h2 class="section-title">💖 Credits</h2>
<ul class="credit-list">
<li>
<img src="https://huggingface.co/avatars/55f24699e05af4295a9d16ddecd81f8a.svg" alt="GECFDO Avatar" class="avatar">
<span><strong>GECFDO</strong> – Data Generation & iMatrix Quants</span>
</li>
<li>
<img src="https://huggingface.co/avatars/75a3eb8d24efb96b7b7e69340845028f.svg" alt="Sleep Deprived Avatar" class="avatar">
<span><strong>Sleep Deprived</strong> – Dataset Generator</span>
</li>
<li>
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/6759e155bc947d6070775cb9/FW3jKJ-t8iH9MPGeWzyX5.png" alt="FrenzyBiscuit Avatar" class="avatar">
<span><strong>FrenzyBiscuit</strong> – Fine-Tuning & Dataset Creation</span>
</li>
</ul>
</div>
<div class="section">
<h2 class="section-title">🔖 License & Usage</h2>
<div class="disclaimer">
<p style="margin:0;">⚠️ <strong>USAGE AGREEMENT:</strong></p>
</div>
<ul>
<li>📜 This model is 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>🌍 The creators bear <strong>no responsibility</strong> for how the model is used.</li>
<li>🏡 To the extent legally allowed under the original decree this model is for <strong>personal use only</strong> (non-profit/non-commercial).</li>
</ul>
<div style="margin-top:20px;">
<span class="badge">Apache 2.0</span>
<span class="badge">Personal Use</span>
<span class="badge">18+ Content</span>
<span class="badge">NSFW</span>
</div>
</div>
</div>
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Source: Hugging Face · Compare models