Model card
From the Hugging Face model README
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<h1 class="mc-name">Melody1437-31B</h1>
<div class="mc-badge">⚡ v2.0</div>
<p class="mc-sub">It's a fabulous day!</p>
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Content Advisory: Mature Themes / Adult Interactions — Intended for mature audiences only.
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<video autoplay loop muted playsinline controls style="width:100%;border-radius:16px;border:1px solid #2a2a3d;margin:16px 0">
<source src="https://huggingface.co/spaces/ReadyArt/README/resolve/main/Melody-v0.5.mp4" type="video/mp4">
</video>
<details>
<summary>🔄 What Changed?</summary>
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<p>Retrained from <strong>Melody1437-31B</strong> using the <strong>identical dataset</strong> with an upgraded LoRA configuration for richer, more expressive outputs.</p>
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<div style="text-align:center;padding:20px 32px;background:#141422;border-radius:12px;border:1px solid #2a2a3d;min-width:140px">
<div style="font-family:'JetBrains Mono',monospace;font-size:.7em;text-transform:uppercase;letter-spacing:.12em;color:#6b7280;margin-bottom:8px">Original</div>
<div style="font-family:'Space Grotesk',sans-serif;font-size:1.6em;font-weight:700;color:#f1f1f6">LoRA 24</div>
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<div style="font-size:1.3em;color:#a855f7">→</div>
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<div style="font-family:'JetBrains Mono',monospace;font-size:.7em;text-transform:uppercase;letter-spacing:.12em;color:#6366f1;margin-bottom:8px">Evolved</div>
<div style="font-family:'Space Grotesk',sans-serif;font-size:1.6em;font-weight:700;background:linear-gradient(135deg,#6366f1,#a855f7,#ec4899);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text">LoRA 64</div>
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<ul>
<li>🧠 <strong>Same Dataset:</strong> Identical training data to Melody1437-31B</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>
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</details>
<details>
<summary>🧬 Synthetic Life Engine</summary>
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<p>Dataset generated using our advanced <strong>Character Engine</strong> and <strong>Emotional Engine</strong>, creating genuine life in every interaction.</p>
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<h4>🎭 Character Engine</h4>
<p>Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts.</p>
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<h4>💓 Emotional Engine</h4>
<p>Injects dynamic emotional states into responses, creating depth and realistic reactions.</p>
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<h4>✨ Quality Refinement</h4>
<p>Automated detection and rewriting of repetitive phrases for fresh, high-quality dialogue.</p>
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<h4>💬 Dialogue Integrity</h4>
<p>Advanced quote normalization ensures balanced dialogue markers, preventing formatting errors.</p>
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<summary>🧠 Training Details & Parameters</summary>
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<p>Fine-tuned using <strong>LoRA (Low-Rank Adaptation)</strong> for efficient and targeted weight adjustment.</p>
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<h4>Epochs</h4>
<div class="mc-val">2</div>
<p class="mc-lbl">Full passes through the training dataset</p>
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<h4>LoRA Rank</h4>
<div class="mc-val">64</div>
<p class="mc-lbl">Higher rank for richer adaptation</p>
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<table class="mc-tbl">
<thead><tr><th>Parameter</th><th>Value</th></tr></thead>
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<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>2</strong></td></tr>
<tr><td>Trained Layers</td><td><strong>Text layers only</strong></td></tr>
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<ul style="margin-top:16px">
<li>🎯 <strong>Method:</strong> LoRA fine-tuning for parameter-efficient adaptation, preserving base knowledge</li>
<li>⚡ <strong>Efficiency:</strong> Only a fraction of parameters updated, keeping the model lean</li>
<li>🎭 <strong>Result:</strong> Maintains coherence while exhibiting desired personality traits</li>
</ul>
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<summary>🔮 Training Process</summary>
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<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>
</ul>
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</details>
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<summary>📚 Dataset Overview</summary>
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<p>Model trained on a <strong>specialized adult-oriented roleplay dataset</strong> with diverse scenarios and emotional contexts.</p>
<ul>
<li>🔞 <strong>Content Rating:</strong> Strictly 18+ (Adults Only)</li>
<li>🎭 <strong>Focus:</strong> Mature themes, immersive roleplay, uncensored dialogue</li>
<li>🌈 <strong>Diversity:</strong> Generated using variable system prompts and emotional states</li>
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</details>
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<summary>📜 Version Notes</summary>
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<ul>
<li>⚠️ <strong>Content Warning:</strong> This model can generate mature content. Use responsibly.</li>
<li>🧹 <strong>Clean Output:</strong> Reasoning tags and excessive markdown stripped for cleaner roleplay</li>
<li>⬆️ <strong>Evolution:</strong> Same dataset as Melody1437-31B, retrained at LoRA 64 for enhanced performance</li>
</ul>
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<summary>🎭 Usage Guidelines</summary>
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<p><strong>A structured roleplay system prompt is required</strong> for optimal performance. Optimized for immersive character interaction rather than standard instructional queries.</p>
<ul>
<li>📝 <strong>Initialization:</strong> Begin 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> Model expects balanced quotes — ensure input dialogue is properly formatted</li>
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<summary>⚙️ Configuration</summary>
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<h4>🎛️ Sampling Config</h4>
<p>top_p: <strong>0.92</strong><br>temp: <strong>1.0</strong><br>rep pen: <strong>0</strong><br>presence pen: <strong>0</strong></p>
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<h4>📦 Quantized Files</h4>
<p>GGUF Quants Available</p>
<a href="https://huggingface.co/ReadyArt/Melody1437-31B-v2.0-GGUF" class="mc-btn">View Repository</a>
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<summary>💖 Credits</summary>
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<ul>
<li style="display:flex;align-items:center;margin-bottom:12px;padding:16px 20px;background:#0f0f1a;border:1px solid #2a2a3d;border-radius:12px">
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/673fa5ccbf2e9c35b2ec841a/rPHaMrqyYTfSJ89NN8KgY.jpeg" alt="Darkhn" class="mc-ava">
<span><strong>Darkhn</strong> — Fixing Thinking</span>
</li>
<li style="display:flex;align-items:center;margin-bottom:12px;padding:16px 20px;background:#0f0f1a;border:1px solid #2a2a3d;border-radius:12px">
<img src="https://huggingface.co/avatars/55f24699e05af4295a9d16ddecd81f8a.svg" alt="GECFDO" class="mc-ava">
<span><strong>GECFDO</strong> — Data Generation & iMatrix Quants</span>
</li>
<li style="display:flex;align-items:center;margin-bottom:12px;padding:16px 20px;background:#0f0f1a;border:1px solid #2a2a3d;border-radius:12px">
<img src="https://huggingface.co/avatars/75a3eb8d24efb96b7b7e69340845028f.svg" alt="Sleep Deprived" class="mc-ava">
<span><strong>Sleep Deprived</strong> — Dataset Generator</span>
</li>
<li style="display:flex;align-items:center;margin-bottom:12px;padding:16px 20px;background:#0f0f1a;border:1px solid #2a2a3d;border-radius:12px">
<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>
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<h2 class="mc-sec-title">🔖 License & Usage</h2>
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<strong>⚠️ Usage Agreement:</strong> By using this model, you accept all terms and conditions.
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<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 style="margin-top:16px">
<span class="mc-tag t1">Apache 2.0</span>
<span class="mc-tag t2">Personal Use</span>
<span class="mc-tag t3">18+ Content</span>
<span class="mc-tag t4">NSFW</span>
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