1153 lines
30 KiB
Markdown
1153 lines
30 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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datasets:
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- zerofata/Roleplay-Anime-Characters
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- zerofata/Instruct-Anime-CreativeWriting
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- zerofata/Summaries-Anime-FandomPages
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- zerofata/Instruct-Anime
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- zerofata/Stories-Anime
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- zerofata/Anime-AMA-Prose
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- Nitral-AI/Reddit-NSFW-Writing_Prompts_ShareGPT
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base_model:
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- mistralai/Magistral-Small-2509
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---
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<style>
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body {
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margin: 0;
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padding: 0;
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background:
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radial-gradient(ellipse at 20% 30%, rgba(255, 126, 179, 0.08) 0%, transparent 50%),
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radial-gradient(ellipse at 80% 70%, rgba(192, 132, 252, 0.05) 0%, transparent 50%),
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radial-gradient(ellipse at 50% 90%, rgba(255, 138, 128, 0.06) 0%, transparent 60%),
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#0d1520;
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min-height: 100vh;
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overflow-x: hidden;
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}
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.container {
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--primary-accent: #ff7eb3;
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--secondary-accent: #ffa4d1;
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--tertiary-accent: #c084fc;
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--coral-bright: #ff8a80;
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--twilight-blue: #1a3d5c;
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--sakura-mist: rgba(255, 126, 179, 0.12);
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--night-sky: #0a1628;
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--glow-primary: rgba(255, 126, 179, 0.5);
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--glow-secondary: rgba(255, 164, 209, 0.6);
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--sunset-glow: rgba(255, 138, 128, 0.5);
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--bg-main: #0d1722;
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--bg-container: #0f1a26;
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--bg-card: rgba(13, 23, 34, 0.95);
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--bg-elevated: #14202f;
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--text-main: #f5e6ff;
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--text-muted: #d4b5e8;
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--text-bright: #ffe4f7;
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--white: #FFFFFF;
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--border-color: #2d1f3a;
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--border-accent: #ff7eb3;
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--font-title: 'Inter', sans-serif;
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--font-body: 'Source Sans Pro', sans-serif;
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--font-code: 'JetBrains Mono', monospace;
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font-family: var(--font-body);
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color: var(--text-main);
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line-height: 1.6;
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font-weight: 400;
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max-width: 1100px;
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margin: 20px auto;
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padding: 60px;
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background:
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radial-gradient(ellipse at 30% 20%, rgba(255, 126, 179, 0.08) 0%, transparent 40%),
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radial-gradient(ellipse at 70% 80%, rgba(192, 132, 252, 0.06) 0%, transparent 45%),
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radial-gradient(circle at 50% 50%, var(--deep-water) 0%, var(--bg-main) 100%);
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min-height: calc(100vh - 40px);
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position: relative;
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border-radius: 20px;
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border: 2px solid transparent;
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background-clip: padding-box;
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box-shadow:
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0 0 0 1px rgba(255, 126, 179, 0.4),
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0 0 40px rgba(255, 126, 179, 0.2),
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0 20px 60px rgba(10, 13, 16, 0.8),
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inset 0 0 120px rgba(255, 126, 179, 0.05),
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inset 0 1px 0 rgba(255, 164, 209, 0.15);
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}
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.container::before {
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content: '';
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position: absolute;
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top: -2px;
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left: -2px;
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right: -2px;
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bottom: -2px;
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background: linear-gradient(135deg, var(--primary-accent), var(--secondary-accent), var(--cyan-bright), var(--secondary-accent), var(--primary-accent));
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border-radius: 20px;
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z-index: -1;
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opacity: 0.5;
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}
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.container::after {
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content: '✦';
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position: absolute;
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top: 80px;
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right: 100px;
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font-size: 1rem;
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color: var(--sunset-glow);
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opacity: 0.4;
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text-shadow: 0 0 20px rgba(255, 138, 128, 0.8);
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pointer-events: none;
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}
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.container .title-container {
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background:
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radial-gradient(ellipse at 50% 0%, rgba(255, 126, 179, 0.10) 0%, transparent 50%),
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radial-gradient(ellipse at 50% 100%, rgba(192, 132, 252, 0.08) 0%, transparent 50%),
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linear-gradient(135deg, var(--bg-elevated), var(--bg-card));
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margin-bottom: 50px;
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border: none;
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padding: 60px 50px;
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text-align: center;
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position: relative;
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border-radius: 30px 30px 8px 8px;
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box-shadow:
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0 0 0 1px rgba(255, 126, 179, 0.5),
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0 8px 32px rgba(255, 126, 179, 0.3),
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0 16px 48px rgba(10, 13, 16, 0.6),
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inset 0 1px 0 rgba(255, 164, 209, 0.3),
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inset 0 0 80px rgba(255, 126, 179, 0.08);
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overflow: visible;
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}
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.container .title-container::before {
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content: '';
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position: absolute;
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top: -1px;
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left: 20%;
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right: 20%;
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height: 2px;
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background: radial-gradient(ellipse at center, var(--primary-accent) 0%, transparent 70%);
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box-shadow:
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0 0 20px rgba(255, 126, 179, 0.9),
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0 0 40px rgba(255, 164, 209, 0.6);
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filter: blur(1px);
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}
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.container .title-container::after {
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content: '✧';
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position: absolute;
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bottom: 20px;
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left: 30px;
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font-size: 1.2rem;
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color: #ff8a80;
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opacity: 0.3;
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text-shadow: 0 0 25px rgba(255, 138, 128, 0.8);
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transform: rotate(-15deg);
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}
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.container .title-container .title-wrapper {
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position: relative;
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z-index: 2;
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}
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.container .title-container .title-wrapper::before {
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content: '〰';
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position: absolute;
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top: -25px;
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left: 50%;
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transform: translateX(-50%);
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font-size: 2rem;
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color: var(--primary-accent);
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opacity: 0.4;
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letter-spacing: -8px;
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text-shadow: 0 0 25px rgba(255, 126, 179, 0.8);
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}
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.container .title-container .title-wrapper::after {
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content: '✦ ✧ ✦';
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position: absolute;
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bottom: -30px;
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left: 50%;
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transform: translateX(-50%);
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font-size: 0.8rem;
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color: var(--primary-accent);
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opacity: 0.5;
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letter-spacing: 10px;
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text-shadow:
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0 0 20px rgba(255, 126, 179, 0.8),
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15px 0 15px rgba(77, 208, 225, 0.5),
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-15px 0 15px rgba(77, 208, 225, 0.5);
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}
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.container .title-main {
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color: var(--text-bright);
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font-size: 3rem;
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font-weight: 900;
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margin: 0;
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letter-spacing: 4px;
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display: block;
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text-transform: uppercase;
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background: linear-gradient(90deg, var(--primary-accent), var(--text-bright), var(--primary-accent));
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background-clip: text;
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-family: var(--font-title);
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text-shadow:
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0 0 30px var(--primary-accent),
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0 0 60px rgba(255, 164, 209, 0.5),
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0 4px 8px rgba(255, 126, 179, 0.6);
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position: relative;
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}
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.container .lemonade-text {
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background: linear-gradient(135deg, var(--secondary-accent), var(--cyan-bright));
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background-clip: text;
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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}
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.container .version-indicator {
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color: var(--text-muted);
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font-size: 0.85rem;
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font-weight: 600;
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letter-spacing: 3px;
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margin-top: 15px;
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text-transform: uppercase;
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font-family: var(--font-title);
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opacity: 0.7;
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}
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.container .title-subtitle {
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padding: 20px;
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margin-top: 25px;
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border: none;
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border-radius: 8px;
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background:
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radial-gradient(ellipse at center, rgba(255, 126, 179, 0.1) 0%, transparent 70%);
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box-shadow:
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0 0 0 1px rgba(255, 126, 179, 0.3),
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0 0 20px rgba(255, 126, 179, 0.2),
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inset 0 0 20px rgba(255, 126, 179, 0.08);
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position: relative;
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}
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.container .subtitle-text {
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color: var(--text-muted);
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font-size: 1.3rem;
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font-family: var(--font-body);
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font-style: italic;
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font-weight: 400;
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letter-spacing: 3px;
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text-transform: uppercase;
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}
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.container img {
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max-width: 100%;
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border: none;
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margin-bottom: 40px;
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border-radius: 16px;
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box-shadow:
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0 0 0 1px rgba(255, 126, 179, 0.5),
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0 0 0 8px rgba(15, 30, 53, 0.8),
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0 0 0 9px rgba(255, 126, 179, 0.3),
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0 16px 48px rgba(255, 126, 179, 0.25),
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0 8px 24px rgba(10, 22, 40, 0.6),
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inset 0 0 60px rgba(255, 126, 179, 0.1);
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position: relative;
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filter: drop-shadow(0 0 30px rgba(255, 126, 179, 0.3));
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}
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.container .section-container {
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margin-bottom: 40px;
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padding: 45px;
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background:
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radial-gradient(ellipse at 0% 50%, rgba(255, 126, 179, 0.08) 0%, transparent 50%),
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radial-gradient(ellipse at 100% 50%, rgba(192, 132, 252, 0.06) 0%, transparent 50%),
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linear-gradient(135deg, var(--bg-card), var(--bg-elevated));
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border: none;
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border-radius: 8px 24px 8px 24px;
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position: relative;
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box-shadow:
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0 0 0 1px rgba(255, 126, 179, 0.3),
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0 8px 32px rgba(255, 126, 179, 0.2),
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0 12px 40px rgba(10, 22, 40, 0.5),
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inset 0 1px 0 rgba(255, 164, 209, 0.2),
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inset 0 0 60px rgba(255, 126, 179, 0.08);
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}
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.container .section-container:last-of-type {
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margin-bottom: 0;
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}
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.container .section-container::before {
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content: '✧';
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position: absolute;
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top: 15px;
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right: 25px;
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font-size: 1.5rem;
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color: var(--cyan-bright);
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opacity: 0.15;
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text-shadow: 0 0 25px rgba(255, 126, 179, 0.8);
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pointer-events: none;
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}
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.container .section-container::after {
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content: '';
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position: absolute;
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bottom: 0;
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left: 10%;
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right: 10%;
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height: 1px;
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background: radial-gradient(ellipse at center, rgba(255, 126, 179, 0.4) 0%, transparent 70%);
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box-shadow: 0 0 15px rgba(255, 126, 179, 0.3);
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}
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.container .section-header {
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display: flex;
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align-items: center;
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padding: 0 0 20px 0;
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border: none;
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border-bottom: 2px solid transparent;
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margin-bottom: 30px;
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background: radial-gradient(ellipse at center, rgba(255, 126, 179, 0.06) 0%, transparent 70%);
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position: relative;
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}
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.container .section-header::before {
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content: '';
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position: absolute;
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bottom: -2px;
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left: 5%;
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right: 5%;
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height: 2px;
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background: radial-gradient(ellipse at center, var(--primary-accent) 0%, rgba(255, 126, 179, 0.6) 40%, transparent 80%);
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box-shadow: 0 0 20px rgba(255, 126, 179, 0.4);
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filter: blur(0.5px);
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}
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.container .section-header::after {
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content: '❋';
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position: absolute;
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bottom: -10px;
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left: 50%;
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transform: translateX(-50%);
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font-size: 1rem;
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color: var(--primary-accent);
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opacity: 0.5;
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text-shadow: 0 0 15px rgba(255, 126, 179, 0.7);
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}
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.container .section-title {
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font-family: var(--font-title);
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background: linear-gradient(90deg, var(--primary-accent), var(--text-bright), var(--primary-accent));
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background-clip: text;
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-size: 1.8rem;
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margin: 0 !important;
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padding: 0 !important;
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letter-spacing: 4px;
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font-weight: 800;
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text-transform: uppercase;
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border: none !important;
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display: inline-block;
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text-shadow: 0 0 20px var(--primary-accent);
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}
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.container .section-content {
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padding: 0;
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}
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.container .subheading {
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color: var(--text-bright);
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font-size: 1.4rem;
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margin-top: 30px;
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margin-bottom: 25px;
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font-weight: 700;
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display: block;
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text-transform: uppercase;
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letter-spacing: 3px;
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font-family: var(--font-title);
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border-bottom: none;
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padding-bottom: 15px;
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text-shadow: 0 0 15px var(--primary-accent);
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position: relative;
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}
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|
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.container .subheading::before {
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content: '';
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position: absolute;
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bottom: 0;
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left: 0;
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right: 0;
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|
height: 2px;
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background: linear-gradient(90deg, transparent 0%, var(--primary-accent) 30%, var(--primary-accent) 70%, transparent 100%);
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box-shadow: 0 0 10px rgba(255, 126, 179, 0.6);
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}
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|
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.container .data-box {
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background:
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radial-gradient(ellipse at 0% 0%, rgba(255, 126, 179, 0.1) 0%, transparent 50%),
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linear-gradient(135deg, rgba(22, 40, 64, 0.6), rgba(15, 30, 53, 0.8));
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padding: 28px;
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|
border: none;
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border-left: 3px solid transparent;
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|
border-image: linear-gradient(180deg, transparent, var(--primary-accent), transparent) 1;
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|
margin-bottom: 25px;
|
|
border-radius: 4px 12px 4px 12px;
|
|
position: relative;
|
|
box-shadow:
|
|
0 0 0 1px rgba(255, 126, 179, 0.2),
|
|
0 4px 20px rgba(255, 126, 179, 0.15),
|
|
inset 0 1px 0 rgba(255, 164, 209, 0.15),
|
|
inset 0 0 30px rgba(255, 126, 179, 0.08);
|
|
font-size: 1rem;
|
|
}
|
|
|
|
.container .data-box::before {
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content: '·';
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|
position: absolute;
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|
top: 10px;
|
|
left: 10px;
|
|
font-size: 2rem;
|
|
color: var(--cyan-bright);
|
|
opacity: 0.2;
|
|
line-height: 0;
|
|
}
|
|
|
|
.container .data-row {
|
|
display: flex;
|
|
align-items: center;
|
|
margin-bottom: 12px;
|
|
padding: 10px 0;
|
|
border-bottom: 1px solid rgba(255, 164, 209, 0.2);
|
|
}
|
|
|
|
.container .data-row:last-child {
|
|
margin-bottom: 0;
|
|
}
|
|
|
|
.container .data-arrow {
|
|
color: var(--cyan-bright);
|
|
font-weight: bold;
|
|
margin-right: 15px;
|
|
font-family: var(--font-code);
|
|
font-size: 1.2rem;
|
|
text-shadow: 0 0 10px var(--cyan-bright);
|
|
}
|
|
|
|
.container .data-label {
|
|
color: var(--text-muted);
|
|
font-weight: 700;
|
|
font-family: var(--font-body);
|
|
margin-right: 15px;
|
|
min-width: 120px;
|
|
text-transform: uppercase;
|
|
letter-spacing: 1px;
|
|
}
|
|
|
|
.container a {
|
|
color: var(--text-bright);
|
|
text-decoration: none;
|
|
font-weight: 600;
|
|
transition: all .2s;
|
|
}
|
|
|
|
.container .data-row a {
|
|
border-bottom: 1px dotted var(--cyan-bright);
|
|
}
|
|
|
|
.container a:hover {
|
|
color: var(--cyan-bright);
|
|
text-shadow: 0 0 10px var(--cyan-bright);
|
|
}
|
|
|
|
.container .data-row a:hover {
|
|
border-bottom-style: solid;
|
|
}
|
|
|
|
.container .dropdown-container {
|
|
margin-top: 30px;
|
|
}
|
|
|
|
.container .dropdown-summary {
|
|
cursor: pointer;
|
|
padding: 18px 25px;
|
|
color: var(--text-muted);
|
|
font-size: 1.2rem;
|
|
font-weight: 700;
|
|
text-transform: uppercase;
|
|
font-family: var(--font-title);
|
|
letter-spacing: 2px;
|
|
list-style: none;
|
|
transition: all 0.3s ease;
|
|
border: none;
|
|
border-radius: 8px;
|
|
background:
|
|
radial-gradient(circle at 0% 50%, rgba(255, 126, 179, 0.12) 0%, transparent 60%),
|
|
linear-gradient(135deg, rgba(43, 79, 118, 0.25), rgba(22, 40, 64, 0.4));
|
|
box-shadow:
|
|
0 0 0 1px rgba(255, 126, 179, 0.3),
|
|
0 4px 15px rgba(255, 126, 179, 0.15),
|
|
inset 0 1px 0 rgba(255, 164, 209, 0.15);
|
|
position: relative;
|
|
}
|
|
|
|
.container .dropdown-summary::before {
|
|
content: '✧';
|
|
position: absolute;
|
|
right: 25px;
|
|
top: 50%;
|
|
transform: translateY(-50%);
|
|
opacity: 0.3;
|
|
color: var(--cyan-bright);
|
|
text-shadow: 0 0 15px rgba(255, 126, 179, 0.8);
|
|
transition: opacity 0.3s ease;
|
|
}
|
|
|
|
.container .dropdown-summary:hover {
|
|
color: var(--cyan-bright);
|
|
background:
|
|
radial-gradient(circle at 0% 50%, rgba(255, 126, 179, 0.2) 0%, transparent 60%),
|
|
linear-gradient(135deg, rgba(43, 79, 118, 0.35), rgba(22, 40, 64, 0.5));
|
|
box-shadow:
|
|
0 0 0 1px rgba(255, 126, 179, 0.5),
|
|
0 6px 25px rgba(255, 126, 179, 0.3),
|
|
inset 0 1px 0 rgba(255, 164, 209, 0.25);
|
|
}
|
|
|
|
.container .dropdown-summary:hover::before {
|
|
opacity: 0.6;
|
|
}
|
|
|
|
.container .dropdown-summary::-webkit-details-marker {
|
|
display: none;
|
|
}
|
|
|
|
.container .dropdown-arrow {
|
|
color: var(--cyan-bright);
|
|
margin-right: 15px;
|
|
transition: transform 0.2s ease;
|
|
text-shadow: 0 0 10px var(--cyan-bright);
|
|
}
|
|
|
|
.container details[open] .dropdown-arrow {
|
|
transform: rotate(90deg);
|
|
}
|
|
|
|
.container .dropdown-content {
|
|
margin-top: 20px;
|
|
padding: 25px 20px;
|
|
background:
|
|
radial-gradient(ellipse at 100% 0%, rgba(255, 126, 179, 0.08) 0%, transparent 50%),
|
|
linear-gradient(135deg, rgba(15, 30, 53, 0.9), rgba(22, 40, 64, 0.8));
|
|
border: none;
|
|
border-radius: 0 0 8px 8px;
|
|
border-top: 2px solid transparent;
|
|
border-image: linear-gradient(90deg, transparent, rgba(255, 126, 179, 0.4), transparent) 1;
|
|
border-image-slice: 1 0 0 0;
|
|
box-shadow:
|
|
0 0 0 1px rgba(255, 126, 179, 0.2),
|
|
0 8px 24px rgba(255, 126, 179, 0.2),
|
|
inset 0 0 40px rgba(255, 126, 179, 0.08);
|
|
position: relative;
|
|
}
|
|
|
|
.container .dropdown-content::before {
|
|
content: '';
|
|
position: absolute;
|
|
top: 0;
|
|
left: 50%;
|
|
transform: translateX(-50%);
|
|
width: 40%;
|
|
height: 1px;
|
|
background: radial-gradient(ellipse at center, var(--cyan-bright) 0%, transparent 70%);
|
|
box-shadow: 0 0 10px rgba(255, 126, 179, 0.6);
|
|
}
|
|
|
|
.container .config-title {
|
|
color: var(--text-bright);
|
|
font-size: 1.1rem;
|
|
margin-bottom: 10px;
|
|
font-family: var(--font-body);
|
|
text-transform: uppercase;
|
|
letter-spacing: 2px;
|
|
font-weight: 700;
|
|
text-shadow: 0 0 10px var(--cyan-bright);
|
|
}
|
|
|
|
.container pre {
|
|
background:
|
|
radial-gradient(ellipse at 100% 100%, rgba(255, 126, 179, 0.06) 0%, transparent 50%),
|
|
#050a14;
|
|
padding: 20px;
|
|
margin: 0;
|
|
border: none;
|
|
border-radius: 6px;
|
|
white-space: pre;
|
|
overflow-x: auto;
|
|
color: var(--text-main);
|
|
box-shadow:
|
|
0 0 0 1px rgba(255, 126, 179, 0.3),
|
|
0 4px 20px rgba(255, 126, 179, 0.15),
|
|
inset 0 0 30px rgba(255, 126, 179, 0.1),
|
|
inset 0 1px 0 rgba(255, 164, 209, 0.1);
|
|
position: relative;
|
|
}
|
|
|
|
.container pre::before {
|
|
content: '◇';
|
|
position: absolute;
|
|
top: 8px;
|
|
right: 12px;
|
|
font-size: 0.8rem;
|
|
color: var(--cyan-bright);
|
|
opacity: 0.2;
|
|
}
|
|
|
|
.container pre code {
|
|
background: none;
|
|
color: inherit;
|
|
padding: 0;
|
|
margin: 0;
|
|
display: block;
|
|
border: none;
|
|
outline: none;
|
|
}
|
|
|
|
.container code {
|
|
font-family: var(--font-code);
|
|
color: var(--primary-accent);
|
|
background: rgba(255, 164, 209, 0.15);
|
|
padding: 4px 8px;
|
|
border-radius: 3px;
|
|
border: 1px solid rgba(255, 126, 179, 0.25);
|
|
box-shadow:
|
|
0 0 10px rgba(255, 126, 179, 0.1),
|
|
inset 0 0 8px rgba(255, 126, 179, 0.08);
|
|
}
|
|
|
|
/* Floating atmospheric particles */
|
|
body::before {
|
|
content: '✦';
|
|
position: fixed;
|
|
top: 15%;
|
|
left: 8%;
|
|
font-size: 0.8rem;
|
|
color: #ff8a80;
|
|
opacity: 0.2;
|
|
text-shadow: 0 0 20px rgba(255, 138, 128, 0.9);
|
|
pointer-events: none;
|
|
z-index: 1;
|
|
}
|
|
|
|
body::after {
|
|
content: '✧';
|
|
position: fixed;
|
|
top: 60%;
|
|
right: 12%;
|
|
font-size: 1.2rem;
|
|
color: var(--cyan-bright);
|
|
opacity: 0.15;
|
|
text-shadow: 0 0 25px rgba(77, 208, 225, 0.8);
|
|
pointer-events: none;
|
|
z-index: 1;
|
|
}
|
|
|
|
/* Light ray effect */
|
|
.container .title-main::before {
|
|
content: '';
|
|
position: absolute;
|
|
top: -40px;
|
|
left: 50%;
|
|
transform: translateX(-50%);
|
|
width: 2px;
|
|
height: 40px;
|
|
background: linear-gradient(180deg, transparent, rgba(255, 126, 179, 0.5));
|
|
box-shadow:
|
|
0 0 20px rgba(255, 126, 179, 0.7),
|
|
0 0 40px rgba(255, 164, 209, 0.4);
|
|
filter: blur(2px);
|
|
}
|
|
|
|
/* Reflection effect on subheading */
|
|
.container .subheading::after {
|
|
content: '';
|
|
position: absolute;
|
|
bottom: -8px;
|
|
left: 0;
|
|
right: 0;
|
|
height: 4px;
|
|
background: linear-gradient(90deg, transparent, rgba(255, 126, 179, 0.1), transparent);
|
|
filter: blur(2px);
|
|
}
|
|
|
|
/* Additional floating particles for mystical atmosphere */
|
|
.container > *:nth-child(3)::before {
|
|
content: '·';
|
|
position: absolute;
|
|
top: -20px;
|
|
left: 15%;
|
|
font-size: 1.5rem;
|
|
color: #ff8a80;
|
|
opacity: 0.25;
|
|
text-shadow: 0 0 15px rgba(255, 138, 128, 0.9);
|
|
}
|
|
|
|
.container > *:nth-child(4)::after {
|
|
content: '✧';
|
|
position: absolute;
|
|
bottom: -15px;
|
|
right: 20%;
|
|
font-size: 0.9rem;
|
|
color: var(--cyan-bright);
|
|
opacity: 0.2;
|
|
text-shadow: 0 0 20px rgba(77, 208, 225, 0.8);
|
|
}
|
|
|
|
/* Organic mist overlay on version indicator */
|
|
.container .version-indicator {
|
|
position: relative;
|
|
}
|
|
|
|
.container .version-indicator::before {
|
|
content: '';
|
|
position: absolute;
|
|
top: -5px;
|
|
left: -10px;
|
|
right: -10px;
|
|
bottom: -5px;
|
|
background: radial-gradient(ellipse at center, rgba(255, 126, 179, 0.08) 0%, transparent 70%);
|
|
border-radius: 20px;
|
|
z-index: -1;
|
|
}
|
|
|
|
/* Additional depth to title subtitle */
|
|
.container .title-subtitle::before {
|
|
content: '◈';
|
|
position: absolute;
|
|
left: -30px;
|
|
top: 50%;
|
|
transform: translateY(-50%);
|
|
font-size: 0.8rem;
|
|
color: #ff8a80;
|
|
opacity: 0.35;
|
|
text-shadow: 0 0 15px rgba(255, 138, 128, 0.8);
|
|
}
|
|
|
|
.container .title-subtitle::after {
|
|
content: '◈';
|
|
position: absolute;
|
|
right: -30px;
|
|
top: 50%;
|
|
transform: translateY(-50%);
|
|
font-size: 0.8rem;
|
|
color: var(--cyan-bright);
|
|
opacity: 0.3;
|
|
text-shadow: 0 0 15px rgba(77, 208, 225, 0.8);
|
|
}
|
|
|
|
/* Mystical mist effect overlays */
|
|
.container .section-container:nth-child(odd) {
|
|
background:
|
|
radial-gradient(ellipse at 10% 30%, rgba(255, 126, 179, 0.08) 0%, transparent 50%),
|
|
radial-gradient(ellipse at 90% 70%, rgba(192, 132, 252, 0.06) 0%, transparent 50%),
|
|
linear-gradient(135deg, var(--bg-card), var(--bg-elevated));
|
|
}
|
|
|
|
/* Organic border accent for data boxes */
|
|
.container .data-box:hover {
|
|
box-shadow:
|
|
0 0 0 1px rgba(255, 126, 179, 0.4),
|
|
0 6px 24px rgba(255, 126, 179, 0.25),
|
|
inset 0 1px 0 rgba(255, 164, 209, 0.2),
|
|
inset 0 0 40px rgba(255, 126, 179, 0.12);
|
|
transition: all 0.3s ease;
|
|
}
|
|
|
|
/* Ethereal glow on links */
|
|
.container a {
|
|
position: relative;
|
|
}
|
|
|
|
.container a::after {
|
|
content: '';
|
|
position: absolute;
|
|
bottom: -2px;
|
|
left: 0;
|
|
width: 100%;
|
|
height: 1px;
|
|
background: linear-gradient(90deg, transparent, var(--cyan-bright), transparent);
|
|
opacity: 0;
|
|
transition: opacity 0.3s ease;
|
|
}
|
|
|
|
.container a:hover::after {
|
|
opacity: 0.6;
|
|
}
|
|
|
|
/* Additional sparkle decorations */
|
|
.container .section-container:nth-child(even)::before {
|
|
content: '✦';
|
|
color: #ff8a80;
|
|
text-shadow: 0 0 25px rgba(255, 138, 128, 0.9);
|
|
opacity: 0.18;
|
|
}
|
|
|
|
/* Organic divider between sections */
|
|
.container .section-container + .section-container::before {
|
|
position: absolute;
|
|
top: -30px;
|
|
left: 50%;
|
|
transform: translateX(-50%);
|
|
color: var(--primary-accent);
|
|
opacity: 0.25;
|
|
font-size: 0.8rem;
|
|
letter-spacing: 8px;
|
|
text-shadow:
|
|
0 0 15px rgba(255, 126, 179, 0.8),
|
|
0 0 10px rgba(77, 208, 225, 0.3);
|
|
z-index: 10;
|
|
}
|
|
</style>
|
|
<html lang="en">
|
|
<head>
|
|
<meta charset="UTF-8">
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
|
<title>Painted Fantasy v3</title>
|
|
<link rel="preconnect" href="https://fonts.googleapis.com">
|
|
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
|
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700;800&family=Source+Sans+Pro:ital,wght@0,400;0,600;1,400&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">
|
|
</head>
|
|
<body>
|
|
|
|
<div class="container">
|
|
<div class="title-container">
|
|
<div class="glitchy-overlay"></div>
|
|
<div class="title-wrapper">
|
|
<h1 class="title-main">
|
|
<span class="title-prefix">PAINTED FANTASY</span>
|
|
<span class="lemonade-text">v3</span>
|
|
</h1>
|
|
<div class="title-subtitle">
|
|
<span class="subtitle-text">Magistral-Small-2509-24B</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|

|
|
|
|
<div class="section-container">
|
|
<div class="section-header">
|
|
<div class="section-indicator"></div>
|
|
<h2 class="section-title">Overview</h2>
|
|
</div>
|
|
<div class="section-content">
|
|
<p>This is an uncensored creative model intended to excel at character driven RP / ERP.</p>
|
|
<p>Magistral is a really good model, never got around to making a finetune for it though.</p>
|
|
<p>Lots of improvements and experimental additions to the dataset along better overall training parameters. IMO, this feels very different to v2 in a good way.</p>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="section-container">
|
|
<div class="section-header">
|
|
<div class="section-indicator"></div>
|
|
<h2 class="section-title">SillyTavern Settings</h2>
|
|
</div>
|
|
<div class="section-content">
|
|
<h3 class="subheading">Recommended Roleplay Format</h3>
|
|
<div class="data-box">
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<span class="data-label">Actions:</span>
|
|
<span>In plaintext</span>
|
|
</div>
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<span class="data-label">Dialogue:</span>
|
|
<span>"In quotes"</span>
|
|
</div>
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<span class="data-label">Thoughts:</span>
|
|
<span>*In asterisks*</span>
|
|
</div>
|
|
</div>
|
|
<h3 class="subheading">Suggested Samplers</h3>
|
|
<div class="data-box">
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<span class="data-label">Temp:</span>
|
|
<span>0.7-0.8</span>
|
|
</div>
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<span class="data-label">MinP:</span>
|
|
<span>0.075</span>
|
|
</div>
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<span class="data-label">TopP:</span>
|
|
<span>0.95-1.00</span>
|
|
</div>
|
|
</div>
|
|
<h3 class="subheading">Instruct</h3>
|
|
<div class="data-box">
|
|
<p style="margin: 0;">Mistral v7 Tekken</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="section-container">
|
|
<div class="section-header">
|
|
<div class="section-indicator"></div>
|
|
<h2 class="section-title">Quantizations</h2>
|
|
</div>
|
|
<div class="section-content">
|
|
<div style="margin-bottom: 20px;">
|
|
<h3 class="subheading">GGUF</h3>
|
|
<div class="data-box">
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<a href="https://huggingface.co/bartowski/zerofata_MS3.2-PaintedFantasy-v3-24B-GGUF">iMatrix (Bartowski)</a>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div>
|
|
<h3 class="subheading">EXL3</h3>
|
|
<div class="data-box">
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<a href="https://huggingface.co/zerofata/MS3.2-PaintedFantasy-v3-24b-exl3-3bpw">3bpw</a>
|
|
</div>
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<a href="https://huggingface.co/zerofata/MS3.2-PaintedFantasy-v3-24b-exl3-3.5bpw">3.5bpw</a>
|
|
</div>
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<a href="https://huggingface.co/zerofata/MS3.2-PaintedFantasy-v3-24b-exl3-4bpw">4bpw</a>
|
|
</div>
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<a href="https://huggingface.co/zerofata/MS3.2-PaintedFantasy-v3-24b-exl3-5bpw">5bpw</a>
|
|
</div>
|
|
<div class="data-row">
|
|
<span class="data-arrow">></span>
|
|
<a href="https://huggingface.co/zerofata/MS3.2-PaintedFantasy-v3-24b-exl3-6bpw">6bpw</a>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="section-container">
|
|
<div class="section-header">
|
|
<div class="section-indicator"></div>
|
|
<h2 class="section-title">Training Process</h2>
|
|
</div>
|
|
<div class="section-content">
|
|
<p>Training process: SFT > DPO</p>
|
|
<p>The SFT dataset has been greatly expanded from previous models. 31mil tokens, 25mil trainable. Uses rslora and trains all modules, including lm_head & embed_tokens (at a lower LR).</p>
|
|
<p>SFT dataset consists of RP/ERP, Stories, in character assistant data, anime & vtuber AMA's and Nitral's Reddit NSFW writing prompts (slightly modified).</p>
|
|
<p>DPO focused on reducing repetition, misgendered characters, parroting and general logic issues. Chosen responses are high quality ERP / RP that are self edited, rejected are MS3.2 outputs, instructed to make mistakes / ignore instructions.</p>
|
|
<div class="dropdown-container">
|
|
<details>
|
|
<summary class="dropdown-summary">
|
|
<span class="dropdown-arrow">></span>
|
|
Axolotl configs
|
|
</summary>
|
|
<div class="dropdown-content">
|
|
<p>Not optimized for cost / performance efficiency, YMMV.</p>
|
|
<div class="config-title">SFT 4*H200</div>
|
|
<pre><code>base_model: Darkhn/Magistral-Small-2509-Text-Only
|
|
tokenizer_use_mistral_common: true
|
|
<br>
|
|
plugins:
|
|
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
|
|
<br>
|
|
load_in_8bit: false
|
|
load_in_bit: false
|
|
deepspeed: deepspeed_configs/zero1.json
|
|
<br>
|
|
datasets:
|
|
- path: ./data/train_datasetv2.jsonl
|
|
type: chat_template
|
|
dataset_prepared_path: last_run_prepared
|
|
val_set_size: 0.01
|
|
output_dir: ./Magi-SFT-v2-3
|
|
<br>
|
|
adapter: lora
|
|
peft_use_rslora: true
|
|
lora_model_dir:
|
|
<br>
|
|
sequence_len: 10280
|
|
sample_packing: true
|
|
<br>
|
|
lora_r: 256
|
|
lora_alpha: 16
|
|
lora_dropout: 0.075
|
|
lora_target_linear: true
|
|
lora_modules_to_save:
|
|
- embed_tokens
|
|
- lm_head
|
|
<br>
|
|
wandb_project: Magi-SFT-24B
|
|
wandb_name: Magi-SFT-v2-3
|
|
<br>
|
|
gradient_accumulation_steps: 1
|
|
micro_batch_size: 8
|
|
num_epochs: 2
|
|
optimizer: adamw_bnb_8bit
|
|
lr_scheduler: cosine
|
|
<br>
|
|
lr_groups:
|
|
- name: lm_head_embed
|
|
modules:
|
|
- lm_head.weight
|
|
- model.embed_tokens.weight
|
|
lr: 4e-6
|
|
<br>
|
|
learning_rate: 3e-5
|
|
weight_decay: 0.01
|
|
max_grad_norm: 1.0
|
|
<br>
|
|
bf16: auto
|
|
tf32: false
|
|
<br>
|
|
gradient_checkpointing: true
|
|
resume_from_checkpoint:
|
|
logging_steps: 1
|
|
flash_attention: true
|
|
<br>
|
|
warmup_ratio: 0.05
|
|
evals_per_epoch: 4
|
|
saves_per_epoch: 2</code></pre><br>
|
|
<div class="config-title">DPO 2*H200</div>
|
|
<pre><code># ====================
|
|
# MODEL CONFIGURATION
|
|
# ====================
|
|
base_model: ApocalypseParty/Magi-SFT-v2-3
|
|
model_type: MistralForCausalLM
|
|
tokenizer_type: AutoTokenizer
|
|
chat_template: mistral_v7_tekken
|
|
<br>
|
|
# ====================
|
|
# RL/DPO CONFIGURATION
|
|
# ====================
|
|
rl: dpo
|
|
rl_beta: 0.075
|
|
<br>
|
|
<br>
|
|
# ====================
|
|
# DATASET CONFIGURATION
|
|
# ====================
|
|
datasets:
|
|
- path: ./data/dpo_ms32_handcrafted_dataset.jsonl
|
|
type: chat_template.default
|
|
field_messages: messages
|
|
field_chosen: chosen
|
|
field_rejected: rejected
|
|
message_property_mappings:
|
|
role: role
|
|
content: content
|
|
roles:
|
|
system: ["system"]
|
|
user: ["user"]
|
|
assistant: ["assistant"]
|
|
dataset_prepared_path: ./dpo_data
|
|
train_on_inputs: false # Only train on assistant responses
|
|
<br>
|
|
<br>
|
|
# ====================
|
|
# QLORA CONFIGURATION
|
|
# ====================
|
|
adapter: lora
|
|
load_in_8bit: false
|
|
lora_r: 32
|
|
lora_alpha: 32
|
|
lora_dropout: 0.1
|
|
lora_target_linear: true
|
|
# lora_modules_to_save: # Uncomment only if you added NEW tokens
|
|
<br>
|
|
<br>
|
|
# ====================
|
|
# TRAINING PARAMETERS
|
|
# ====================
|
|
num_epochs: 1
|
|
micro_batch_size: 2
|
|
gradient_accumulation_steps: 6
|
|
learning_rate: 5e-6
|
|
optimizer: adamw_torch_fused
|
|
lr_scheduler: cosine
|
|
warmup_ratio: 0.05
|
|
weight_decay: 0.01
|
|
max_grad_norm: 0.5
|
|
<br>
|
|
<br>
|
|
# ====================
|
|
# SEQUENCE CONFIGURATION
|
|
# ====================
|
|
sequence_len: 10280
|
|
pad_to_sequence_len: true
|
|
<br>
|
|
<br>
|
|
# ====================
|
|
# HARDWARE OPTIMIZATIONS
|
|
# ====================
|
|
bf16: auto
|
|
tf32: false
|
|
flash_attention: true
|
|
gradient_checkpointing: offload
|
|
<br>
|
|
<br>
|
|
plugins:
|
|
- axolotl.integrations.liger.LigerPlugin
|
|
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
|
|
cut_cross_entropy: true
|
|
liger_rope: true
|
|
liger_rms_norm: true
|
|
liger_layer_norm: true
|
|
liger_glu_activation: true
|
|
liger_cross_entropy: false # Cut Cross Entropy overrides this
|
|
liger_fused_linear_cross_entropy: false # Cut Cross Entropy overrides this
|
|
deepspeed: deepspeed_configs/zero1.json
|
|
<br>
|
|
<br>
|
|
# ====================
|
|
# CHECKPOINTING
|
|
# ====================
|
|
evals_per_epoch: 1
|
|
saves_per_epoch: 2
|
|
load_best_model_at_end: true
|
|
metric_for_best_model: eval_loss
|
|
greater_is_better: false
|
|
<br>
|
|
<br>
|
|
# ====================
|
|
# LOGGING & OUTPUT
|
|
# ====================
|
|
output_dir: ./Magi-SFT-v2-3-DPO-3
|
|
logging_steps: 1
|
|
save_safetensors: true
|
|
<br>
|
|
<br>
|
|
# ====================
|
|
# WANDB TRACKING
|
|
# ====================
|
|
wandb_project: Magi-24B-DPO
|
|
wandb_name: Magi-SFT-v2-3-DPO-3</code></pre>
|
|
</div>
|
|
</details>
|
|
</div>
|
|
</div>
|
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</div>
|
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</div>
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</body>
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