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  <main>
    <header>
      <div class="identity">
        <img class="logo" src="https://aethoria-ai-readme.static.hf.space/logo.png?v=3" alt="AETHORIA AI panda logo">
        <div>
          <h1>AETHORIA AI</h1>
          <p class="tagline">Open, efficient AI research</p>
        </div>
      </div>
      <nav aria-label="Organization links">
        <a class="link" href="https://www.complexity-ai.fr/" target="_blank" rel="noreferrer">Website</a>
        <a class="link" href="https://github.com/Complexity-ML" target="_blank" rel="noreferrer">GitHub</a>
        <a class="link" href="https://discord.gg/EyDqXqpxWu" target="_blank" rel="noreferrer">Discord</a>
      </nav>
    </header>

    <img class="banner" src="https://aethoria-ai-readme.static.hf.space/banner.png?v=2" alt="Panda observing an artificial intelligence display">

    <p class="intro">Community-led research into compact language models, token-identity hash routing, multimodal generation and accessible training systems.</p>

    <a class="partnership" href="https://huggingface.co/bench-labs" target="_blank" rel="noreferrer" aria-label="AETHORIA AI is a partner of bench-labs">
      <span>Partner of</span>
      <strong>bench-labs ↗</strong>
    </a>

    <p class="label">Featured project</p>
    <a class="project" href="https://huggingface.co/collections/AETHORIA-AI/tr-hash-05b-research-release-6a78c87b936ff367bd77a9a1" target="_blank" rel="noreferrer">
      <div>
        <h2>TR-HASH 0.5B</h2>
        <p>Base and instruction-tuned models, post-training data and interactive inference demo.</p>
        <div class="chips">
          <span class="chip">492M parameters</span>
          <span class="chip">TR-Hash MoE</span>
          <span class="chip">20B pretraining tokens</span>
          <span class="chip">Open artifacts</span>
        </div>
      </div>
      <span class="arrow" aria-hidden="true">→</span>
    </a>

    <p class="label" style="margin-top: 22px;">Vision research</p>
    <a class="project" href="https://huggingface.co/AETHORIA-AI/TR-HASH-Vision-v6-1M-COCO" target="_blank" rel="noreferrer">
      <div>
        <h2>TR-HASH Vision v6</h2>
        <p>Compact hierarchical hash-routed detector with native multi-scale features, shifted-window attention, residual level adapters and a lightweight PAN/P2 neck. The complete model will be initialized randomly and trained end-to-end directly on COCO 2017 at 640 px, without external detector, classification backbone or pretrained weights.</p>
        <div class="chips">
          <span class="chip">≈1.31M parameters</span>
          <span class="chip">COCO from scratch</span>
          <span class="chip">4 experts · top-2</span>
          <span class="chip">P2 + PAN + STAL</span>
          <span class="chip">DDP + Triton</span>
          <span class="chip">Evaluation pending</span>
        </div>
      </div>
      <span class="arrow" aria-hidden="true">→</span>
    </a>

    <p class="label" style="margin-top: 22px;">
      <a href="https://huggingface.co/collections/AETHORIA-AI/complexity-atlas-datasets-6a78cbbb14fd2a10462abf80" target="_blank" rel="noreferrer">Datasets →</a>
    </p>
    <section class="dataset-grid" aria-label="Complexity Atlas datasets">
      <a class="dataset" href="https://huggingface.co/datasets/AETHORIA-AI/complexity-atlas-posttrain" target="_blank" rel="noreferrer">
        <strong>Atlas Posttrain</strong>
        <span>Text instruction and chat SFT corpus</span>
      </a>
      <a class="dataset" href="https://huggingface.co/datasets/AETHORIA-AI/complexity-atlas-images" target="_blank" rel="noreferrer">
        <strong>Atlas Images</strong>
        <span>336K provenance-aware image-text pairs</span>
      </a>
      <a class="dataset" href="https://huggingface.co/datasets/AETHORIA-AI/complexity-atlas-image-edits" target="_blank" rel="noreferrer">
        <strong>Atlas Image Edits</strong>
        <span>336K instruction-guided editing triplets</span>
      </a>
    </section>

    <footer>AETHORIA AI · Build, measure, share.</footer>
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