Spaces:
Running
Running
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1"> | |
| <meta name="description" content="AETHORIA AI — efficient and accessible artificial intelligence research."> | |
| <title>AETHORIA AI</title> | |
| <style> | |
| :root { | |
| color-scheme: dark; | |
| --bg: #0b0d16; | |
| --panel: #131624; | |
| --line: #292d42; | |
| --text: #f5f6ff; | |
| --muted: #aeb3ca; | |
| --violet: #a895ff; | |
| --cyan: #68dcff; | |
| } | |
| * { box-sizing: border-box; } | |
| body { | |
| margin: 0; | |
| color: var(--text); | |
| font-family: Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; | |
| background: var(--bg); | |
| } | |
| main { | |
| width: min(960px, calc(100% - 32px)); | |
| margin: auto; | |
| padding: 34px 0 38px; | |
| } | |
| header { | |
| display: flex; | |
| align-items: center; | |
| justify-content: space-between; | |
| gap: 18px; | |
| padding-bottom: 22px; | |
| border-bottom: 1px solid var(--line); | |
| } | |
| .identity { display: flex; align-items: center; gap: 13px; } | |
| .logo { | |
| width: 46px; | |
| height: 46px; | |
| object-fit: cover; | |
| border: 1px solid #3c4260; | |
| border-radius: 50%; | |
| box-shadow: 0 0 18px rgba(104, 220, 255, 0.12); | |
| } | |
| h1 { margin: 0; font-size: 21px; letter-spacing: -0.02em; } | |
| .tagline { margin: 3px 0 0; color: var(--muted); font-size: 13px; } | |
| nav { display: flex; flex-wrap: wrap; gap: 8px; } | |
| a { | |
| color: inherit; | |
| text-decoration: none; | |
| } | |
| .link { | |
| padding: 8px 11px; | |
| border: 1px solid var(--line); | |
| border-radius: 9px; | |
| color: #dfe2f3; | |
| font-size: 13px; | |
| font-weight: 650; | |
| } | |
| .link:hover, .project:hover { border-color: #665da2; } | |
| .intro { | |
| max-width: 760px; | |
| margin: 22px 0; | |
| color: var(--muted); | |
| font-size: 16px; | |
| line-height: 1.55; | |
| } | |
| .partnership { | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 9px; | |
| margin: -4px 0 22px; | |
| padding: 8px 11px; | |
| border: 1px solid var(--line); | |
| border-radius: 9px; | |
| color: var(--muted); | |
| font-size: 13px; | |
| } | |
| .partnership strong { color: var(--text); } | |
| .partnership:hover { border-color: #665da2; } | |
| .banner { | |
| display: block; | |
| width: 100%; | |
| max-height: 210px; | |
| margin-top: 20px; | |
| object-fit: cover; | |
| object-position: center; | |
| border: 1px solid var(--line); | |
| border-radius: 14px; | |
| } | |
| .label { | |
| margin: 0 0 10px; | |
| color: #858ba7; | |
| font-size: 11px; | |
| font-weight: 800; | |
| letter-spacing: 0.11em; | |
| text-transform: uppercase; | |
| } | |
| .project { | |
| display: grid; | |
| grid-template-columns: 1fr auto; | |
| align-items: center; | |
| gap: 18px; | |
| padding: 18px; | |
| border: 1px solid var(--line); | |
| border-radius: 14px; | |
| background: var(--panel); | |
| transition: border-color 150ms ease; | |
| } | |
| .project h2 { margin: 0 0 6px; font-size: 19px; } | |
| .project p { margin: 0; color: var(--muted); font-size: 14px; line-height: 1.5; } | |
| .arrow { | |
| color: var(--cyan); | |
| font-size: 22px; | |
| font-weight: 700; | |
| } | |
| .chips { | |
| display: flex; | |
| flex-wrap: wrap; | |
| gap: 7px; | |
| margin-top: 14px; | |
| } | |
| .dataset-grid { | |
| display: grid; | |
| grid-template-columns: repeat(3, minmax(0, 1fr)); | |
| gap: 10px; | |
| margin-top: 10px; | |
| } | |
| .dataset { | |
| padding: 14px; | |
| border: 1px solid var(--line); | |
| border-radius: 12px; | |
| background: #10131f; | |
| } | |
| .dataset:hover { border-color: #665da2; } | |
| .dataset strong { display: block; margin-bottom: 5px; font-size: 14px; } | |
| .dataset span { color: var(--muted); font-size: 12px; line-height: 1.4; } | |
| .chip { | |
| padding: 6px 9px; | |
| border-radius: 999px; | |
| color: #c6cae0; | |
| background: #181b2b; | |
| font-size: 12px; | |
| } | |
| footer { | |
| margin-top: 24px; | |
| color: #777d98; | |
| font-size: 12px; | |
| } | |
| @media (max-width: 640px) { | |
| header { align-items: flex-start; flex-direction: column; } | |
| .project { grid-template-columns: 1fr; } | |
| .dataset-grid { grid-template-columns: 1fr; } | |
| .arrow { display: none; } | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <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> | |
| </main> | |
| </body> | |
| </html> | |