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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>ThingsAI</title>
    <link rel="stylesheet" href="style.css">
</head>
<body>

    <header class="hero">
        <div class="container">
            <span class="badge">๐Ÿ“š README</span>
            <h1>Welcome to ThingsAI</h1>
            <p class="subtitle">
                Building efficient, bilingual AI models that run anywhere.
            </p>

            <div class="flags">
                ๐Ÿ‡ฎ๐Ÿ‡น Italian โ€ข ๐Ÿ‡ฌ๐Ÿ‡ง English
            </div>
        </div>
    </header>

    <main class="container">

        <section class="section">
            <h2>Our Models</h2>

            <div class="cards">

                <article class="card">
                    <h3>Quark-135M</h3>
                    <p>
                        A lightweight bilingual language model with
                        <strong>135M parameters</strong>.
                    </p>
                    <p>
                        Features GQA, SwiGLU, RMSNorm and RoPE.
                        Trained on 50B+ curated tokens.
                    </p>
                    <a href="https://huggingface.co/ThingAI/Quark-135m-Bilingual" target="_blank">
                        View Model โ†’
                    </a>
                </article>

                <article class="card">
                    <h3>Quark-270M</h3>
                    <p>
                        Our most powerful small model with
                        <strong>270M parameters</strong>.
                    </p>
                    <p>
                        Currently training with planned scaling
                        to 135B tokens.
                    </p>
                    <span class="status">Training Now</span>
                </article>

                <article class="card">
                    <h3>Quark-Mod</h3>
                    <p>
                        Multi-label moderation model covering
                        <strong>9 safety categories</strong>.
                    </p>
                    <p>
                        Designed for safe and practical AI deployment.
                    </p>
                    <a href="https://huggingface.co/ThingAI/Quark-Mod" target="_blank">
                        View Model โ†’
                    </a>
                </article>

            </div>
        </section>

        <section class="section">
            <h2>What We Focus On</h2>

            <div class="features">
                <div class="feature">
                    <span>โšก</span>
                    <p>Small, efficient architectures</p>
                </div>

                <div class="feature">
                    <span>๐ŸŒ</span>
                    <p>Bilingual training from scratch</p>
                </div>

                <div class="feature">
                    <span>๐Ÿ”“</span>
                    <p>Open-source everything</p>
                </div>

                <div class="feature">
                    <span>๐Ÿ’ป</span>
                    <p>Real-world deployment</p>
                </div>
            </div>
        </section>

        <section class="section">
            <h2>Resources</h2>

            <table>
                <tr>
                    <td>๐Ÿ“š Quark-135M-Bilingual</td>
                    <td>Flagship bilingual model</td>
                </tr>

                <tr>
                    <td>๐Ÿ›ก๏ธ Quark-Mod</td>
                    <td>Content moderation model</td>
                </tr>

                <tr>
                    <td>๐Ÿ“ HuggingFace Community</td>
                    <td>Models and datasets</td>
                </tr>

                <tr>
                    <td>๐Ÿ’ป GitHub</td>
                    <td>Code, scripts and tools</td>
                </tr>
            </table>
        </section>

    </main>

    <footer>
        <p>
            Made with โค๏ธ by ThingsAI
        </p>
    </footer>

</body>
</html>