mirror of
https://github.com/ruvnet/RuVector.git
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36f2599774
- Extract 14,198 training pairs from 6,941 source maps in node_modules - Train v2 model (4-layer, 192-dim, 6-head transformer, 1.9M params) - Val accuracy: 83.67% (up from 75.72%), exact match: 12.3% (up from 0.1%) - Export weights.bin (7.3MB) for Rust runtime inference - Add decompiler dashboard (React + Tailwind + Vite) - Add runnable RVF (7,350 vectors, 49 segments, witness chain) - Update evaluate-model.py to support configurable model architectures - All 13 Rust tests pass, all 45 RVF files have valid SFVR headers Co-Authored-By: claude-flow <ruv@ruv.net>
25 lines
551 B
JavaScript
25 lines
551 B
JavaScript
/** @type {import('tailwindcss').Config} */
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export default {
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content: ['./index.html', './src/**/*.{js,ts,jsx,tsx}'],
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theme: {
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extend: {
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colors: {
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surface: {
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900: '#0a0a0f',
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800: '#12121a',
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700: '#1a1a25',
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600: '#222230',
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},
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accent: {
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cyan: '#00e5ff',
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purple: '#b388ff',
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pink: '#ff80ab',
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},
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},
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fontFamily: {
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mono: ['"JetBrains Mono"', '"Fira Code"', 'Consolas', 'monospace'],
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},
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},
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},
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plugins: [],
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};
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