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--- |
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base_model: |
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- zerofata/L3.3-GeneticLemonade-Unleashed-70B |
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library_name: transformers |
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license: llama3 |
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datasets: |
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- zerofata/Roleplay-Anime-Characters |
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--- |
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<!DOCTYPE html> |
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<style> |
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/* Base styling for cyberpunk theme */ |
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body {font-family: sans-serif; background-color: #080c14; color: #e1e9f0; line-height: 1.6; margin: 0; padding: 0;} |
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.lemonade-text { |
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color: #33ff99; |
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position: relative; /* Keep relative positioning */ |
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z-index: 2; |
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margin-left: 0.2em; |
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text-shadow: 0 0 10px #33ff99; /* Add static glow */ |
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} |
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/* Section styling */ |
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.section-container {background-color: rgba(8, 12, 20, 0.7); margin-bottom: 30px; position: relative; overflow: hidden; border-bottom: 1px solid #33ff99;} |
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.section-header {display: flex; align-items: center; background-color: rgba(0, 195, 255, 0.1); padding: 10px 20px;} |
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.section-indicator {width: 8px; height: 20px; background-color: #33ff99; margin-right: 15px;} |
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.section-title {font-family: 'Orbitron', sans-serif; color: #e1e9f0; font-size: 1.3rem; margin: 0; letter-spacing: 2px; text-transform: uppercase; font-weight: 500;} |
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.section-content {padding: 20px; font-family: sans-serif; color: #e1e9f0; line-height: 1.6;} |
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/* Title styling */ |
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.title-container { |
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background-color: #080c14; |
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position: relative; |
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overflow: hidden; |
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margin-bottom: 40px; |
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border-left: 3px solid #33ff99; |
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} |
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.title-wrapper { |
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position: relative; |
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z-index: 2; |
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padding: 25px 20px 30px 30px; |
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font-family: 'Orbitron', sans-serif; |
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} |
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.title-main { |
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color: #e1e9f0; |
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font-size: 2.5rem; /* Reduced font size */ |
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font-weight: 700; |
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margin: 0; |
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letter-spacing: 2px; |
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display: inline-block; |
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position: relative; |
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text-transform: uppercase; |
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} |
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.title-prefix { |
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position: relative; |
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z-index: 2; |
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} |
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.title-subtitle { |
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padding-left: 15px; |
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margin-top: 5px; |
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margin-left: 5px; |
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} |
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.subtitle-text { |
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color: #00c3ff; |
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font-size: 1.2rem; /* Reduced font size */ |
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font-family: 'Orbitron', sans-serif; |
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font-weight: 300; |
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letter-spacing: 3px; |
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text-transform: uppercase; |
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display: inline-block; |
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} |
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.glitchy-overlay { |
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position: absolute; |
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top: 0; |
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left: 0; |
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width: 100%; |
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height: 100%; |
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background-image: repeating-linear-gradient(0deg, rgba(0,0,0,0) 0, rgba(0,0,0,0.1) 1px, rgba(0,0,0,0) 2px); |
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z-index: 1; |
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} |
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/* Data box styling */ |
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.data-box {background-color: rgba(0, 0, 0, 0.2); padding: 15px; border-left: 2px solid #33ff99; margin-bottom: 20px;} |
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.data-row {display: flex; margin-bottom: 8px;} |
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.data-arrow {color: #33ff99; width: 20px; display: inline-block;} |
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.data-label {color: #00c3ff; width: 80px; display: inline-block;} |
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/* Subheading styling */ |
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.subheading {color: #00c3ff; font-size: 1.1rem; margin-top: 20px; margin-bottom: 15px; font-weight: 400; border-bottom: 1px dashed rgba(0, 195, 255, 0.3); display: inline-block; text-transform: uppercase; letter-spacing: 1px; font-family: 'Orbitron', sans-serif;} |
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/* Links */ |
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a {color: #00c3ff; text-decoration: none;} |
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a:hover {text-decoration: underline;} |
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/* Container */ |
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.container {max-width: 1200px; margin: 0 auto; padding: 40px 20px;} |
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/* Cyberpunk grid background */ |
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.cyber-grid-bg {position: fixed; top: 0; left: 0; right: 0; bottom: 0; background-color: #05071b; background-image: linear-gradient(rgba(0, 194, 255, 0.03) 1px, transparent 1px), linear-gradient(90deg, rgba(0, 194, 255, 0.03) 1px, transparent 1px); background-size: 20px 20px; z-index: -1;} |
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</style> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<title>GENETIC LEMONADE UNLEASHED v3</title> |
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<link href="https://fonts.googleapis.com/css2?family=Orbitron:wght@400;500;600;700&family=JetBrains+Mono:wght@100;300;400;700&display=swap" rel="stylesheet"> |
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</head> |
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<body> |
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<div class="cyber-grid-bg"></div> |
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<div class="container"> |
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<div class="title-container"> |
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<!-- Glitchy overlay --> |
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<div class="glitchy-overlay"></div> |
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<!-- Main title --> |
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<div class="title-wrapper"> |
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<h1 class="title-main"> |
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<span class="title-prefix">GENETIC</span> |
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<span class="lemonade-text">LEMONADE</span> <!-- Static text with glow --> |
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</h1> |
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<div class="title-subtitle"> |
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<span class="subtitle-text">UNLEASHED v3</span> |
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</div> |
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</div> |
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</div> |
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<div class="section-container"> |
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<div class="section-header"> |
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<div class="section-indicator"></div> |
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<h2 class="section-title">01 // OVERVIEW</h2> |
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</div> |
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<div class="section-content"> |
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<p>An experimental release.</p> |
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<p><a href="https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-70B">zerofata/GeneticLemonade-Unleashed</a> SFT+DPO QLora finetune.</p> |
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<p>This is a creative model intended to excel at character driven RP / ERP. It has not been tested or trained on adventure stories or any large amounts of creative writing.</p> |
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<p>This model is designed to provide longer, narrative heavy responses where characters are portrayed accurately and proactively.</p> |
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</div> |
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</div> |
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<div class="section-container"> |
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<div class="section-header"> |
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<div class="section-indicator"></div> |
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<h2 class="section-title">02 // SILLYTAVERN SETTINGS</h2> |
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</div> |
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<div class="section-content"> |
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<p>Play with these, they are not the 'best' settings just a stable baseline. Something interesting to note is this model supports higher temps than would normally be recommended for other L3 models.</p> |
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<h3 class="subheading">Recommended Samplers</h3> |
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<div class="data-box"> |
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<div class="data-row"> |
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<span class="data-arrow">></span> |
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<span class="data-label">Temp:</span> |
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<span>0.9 - 1.2</span> |
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</div> |
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<div class="data-row"> |
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<span class="data-arrow">></span> |
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<span class="data-label">MinP:</span> |
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<span>0.03 - 0.04</span> |
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</div> |
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<div class="data-row"> |
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<span class="data-arrow">></span> |
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<span class="data-label">TopP:</span> |
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<span>0.9 - 1.0</span> |
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</div> |
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<div class="data-row"> |
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<span class="data-arrow">></span> |
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<span class="data-label">Dry:</span> |
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<span>0.8, 1.75, 4</span> |
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</div> |
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</div> |
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<h3 class="subheading">Instruct</h3> |
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<div class="data-box"> |
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<p style="margin: 0;">Llama-3-Instruct-Names but you will need to uncheck "System same as user".</p> |
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</div> |
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</div> |
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</div> |
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<div class="section-container"> |
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<div class="section-header"> |
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<div class="section-indicator"></div> |
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<h2 class="section-title">03 // QUANTIZATIONS</h2> |
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</div> |
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<div class="section-content"> |
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<div style="margin-bottom: 20px;"> |
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<h3 class="subheading">GGUF</h3> |
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<div style="margin-left: 20px;"> |
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<span style="color: #33ff99; display: inline-block; margin-right: 10px;">> </span><a href="https://huggingface.co/mradermacher/L3.3-GeneticLemonade-Unleashed-v3-70B-i1-GGUF">iMatrix (Mradermacher)</a><br> |
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</div> |
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</div> |
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<div> |
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<h3 class="subheading">EXL2</h3> |
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<div style="margin-left: 20px;"> |
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<span style="color: #33ff99; display: inline-block; margin-right: 10px;">> </span><a href="https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B_4bpw-hb6-exl2">4bpw</a><br> |
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<span style="color: #33ff99; display: inline-block; margin-right: 10px;">> </span><a href="https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B_4.5bpw-hb6-exl2">4.5bpw</a><br> |
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<span style="color: #33ff99; display: inline-block; margin-right: 10px;">> </span><a href="https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B_6bpw-hb8-exl2">6bpw</a> |
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</div> |
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</div> |
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</div> |
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</div> |
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<div class="section-container"> |
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<div class="section-header"> |
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<div class="section-indicator"></div> |
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<h2 class="section-title">04 // TRAINING PROCESS</h2> |
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</div> |
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<div class="section-content"> |
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<p>The model first went through SFT with a small synthetic dataset of 2.9 million tokens, approximately 750 conversations. Primarily RP data with small amounts of random instruct / assistant data and creative writing.</p> |
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<p>The model then went through DPO training using approx 1100 chosen examples from the SFT dataset that were of exceptional quality or showed verifiable instruction following. Rejected samples were generated using another Llama 3.3 finetune that is known for poor instruction following.</p> |
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</div> |
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</div> |
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</div> |
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<h3 class="subheading">Axolotl configs</h3> |
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<p>Neither are optimized for cost / performance efficiency, YMMV.</p> |
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<h3>SFT 1*H200</h3> |
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```yml |
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# ==================== |
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# MODEL CONFIGURATION |
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# ==================== |
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base_model: zerofata/L3.3-GeneticLemonade-Unleashed-70B |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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special_tokens: |
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pad_token: "<|finetune_right_pad_id|>" |
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chat_template: llama3 |
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# ==================== |
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# DATASET CONFIGURATION |
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# ==================== |
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datasets: |
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- path: ./dataset.jsonl |
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type: chat_template |
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split: train |
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chat_template_strategy: tokenizer |
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field_messages: messages |
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message_property_mappings: |
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role: role |
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content: content |
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roles: |
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user: ["user"] |
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assistant: ["assistant"] |
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system: ["system"] |
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test_datasets: |
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- path: ./validate_dataset.jsonl |
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type: chat_template |
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split: train |
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chat_template_strategy: tokenizer |
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field_messages: messages |
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message_property_mappings: |
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role: role |
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content: content |
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roles: |
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user: ["user"] |
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assistant: ["assistant"] |
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system: ["system"] |
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dataset_prepared_path: |
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train_on_inputs: false # Only train on assistant responses |
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# ==================== |
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# QLORA CONFIGURATION |
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# ==================== |
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adapter: qlora |
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load_in_4bit: true |
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lora_r: 64 |
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lora_alpha: 128 |
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lora_dropout: 0.1 |
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lora_target_linear: true |
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# lora_modules_to_save: # Uncomment only if you added NEW tokens |
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# ==================== |
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# TRAINING PARAMETERS |
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# ==================== |
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num_epochs: 2 |
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micro_batch_size: 4 |
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gradient_accumulation_steps: 2 |
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learning_rate: 1.5e-5 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: rex |
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warmup_ratio: 0.05 |
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weight_decay: 0.01 |
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max_grad_norm: 1.0 |
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# ==================== |
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# SEQUENCE & PACKING |
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# ==================== |
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sequence_len: 8192 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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# ==================== |
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# HARDWARE OPTIMIZATIONS |
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# ==================== |
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bf16: auto |
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flash_attention: true |
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gradient_checkpointing: true |
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# ==================== |
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# EVALUATION & CHECKPOINTING |
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# ==================== |
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evaluation_strategy: steps |
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eval_steps: 5 |
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save_strategy: steps |
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save_steps: 5 |
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save_total_limit: 5 # Keep best + last few checkpoints |
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load_best_model_at_end: true |
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metric_for_best_model: eval_loss |
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greater_is_better: false |
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early_stopping_patience: 5 |
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# ==================== |
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# LOGGING & OUTPUT |
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# ==================== |
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output_dir: ./output_model |
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logging_steps: 2 |
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save_safetensors: true |
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# ==================== |
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# WANDB TRACKING |
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# ==================== |
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wandb_project: project_name |
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# wandb_entity: your_entity |
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# wandb_name: your_run_name |
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``` |
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<h3>DPO 2*H200</h3> |
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```yml |
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# ==================== |
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# MODEL CONFIGURATION |
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# ==================== |
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base_model: ApocalypseParty/unleashed-fulldata30 |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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special_tokens: {} |
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chat_template: tokenizer_default |
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# ==================== |
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# RL/DPO CONFIGURATION |
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# ==================== |
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rl: dpo |
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rl_beta: 0.07 |
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# ==================== |
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# DATASET CONFIGURATION |
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# ==================== |
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datasets: |
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- path: ./dpo_cleaned-v3_deduplicated.jsonl |
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type: chat_template.default |
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field_messages: conversation |
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field_chosen: chosen |
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field_rejected: rejected |
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message_property_mappings: |
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role: role |
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content: content |
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roles: |
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system: ["system"] |
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user: ["user"] |
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assistant: ["assistant"] |
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dataset_prepared_path: |
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train_on_inputs: false # Only train on assistant responses |
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# ==================== |
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# QLORA CONFIGURATION |
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# ==================== |
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adapter: qlora |
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load_in_4bit: true |
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lora_r: 32 |
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lora_alpha: 64 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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# lora_modules_to_save: # Uncomment only if you added NEW tokens |
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# ==================== |
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# TRAINING PARAMETERS |
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# ==================== |
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num_epochs: 1 |
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micro_batch_size: 4 |
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gradient_accumulation_steps: 2 |
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learning_rate: 2e-6 |
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optimizer: adamw_8bit |
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lr_scheduler: cosine |
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warmup_steps: 5 |
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weight_decay: 0.01 |
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max_grad_norm: 1.0 |
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# ==================== |
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# SEQUENCE CONFIGURATION |
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# ==================== |
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sequence_len: 4096 |
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pad_to_sequence_len: true |
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# ==================== |
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# HARDWARE OPTIMIZATIONS |
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# ==================== |
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bf16: auto |
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tf32: false |
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flash_attention: true |
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gradient_checkpointing: offload |
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deepspeed: deepspeed_configs/zero1.json |
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# ==================== |
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# CHECKPOINTING |
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# ==================== |
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save_steps: 10 |
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save_total_limit: 10 |
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load_best_model_at_end: true |
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metric_for_best_model: eval_loss |
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greater_is_better: false |
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# ==================== |
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# LOGGING & OUTPUT |
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# ==================== |
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output_dir: ./dpo_model |
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logging_steps: 2 |
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save_safetensors: true |
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# ==================== |
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# WANDB TRACKING |
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# ==================== |
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wandb_project: project_name |
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# wandb_entity: your_entity |
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# wandb_name: your_run_name |
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``` |
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</body> |
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</html> |
