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README, landing page and logo.

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  <title>Debussy Labs</title>
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  </head>
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  <body>
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- <!-- Hugging Face shows this file as the organisation card on huggingface.co/debussylabs (keep it simple HTML). -->
 
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  <p align="center"><img src="https://huggingface.co/spaces/debussylabs/README/resolve/main/debussy-labs-banner.png" width="327" height="86" alt="Debussy Labs"></p>
 
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  <p><b>Debussy Labs</b> builds fast, honest decision models for AI agents.</p>
 
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  <p>Our first model, <b>Debussy</b>, is an open <i>System 1</i> decision model. It makes the quick calls an agent needs
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  (is this request safe, should I call this tool, do I actually know this) in a single pass on an ordinary CPU, and it
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  says “I don't know” when it doesn't.</p>
 
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  <p><b>Models</b></p>
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  <ul>
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  <li><a href="https://huggingface.co/debussylabs/debussy"><b>debussylabs/debussy</b></a>: safety judgements, tool-call routing
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  and knowledge questions with “I don't know”. Apache-2.0.</li>
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  </ul>
 
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  <p><b>Estimated Decision Index ≈ 63.7</b> on the Artificial Analysis Decision Index (our own estimate, not an official
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  score). Built and evaluated on a 4-core CPU, with no GPU and no API key.</p>
 
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  <p>🌐 <a href="https://debussylabs.com">debussylabs.com</a> · 💻 <a href="https://github.com/abutauskas/Debussy">GitHub</a> ·
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  📰 <a href="https://debussylabs.com/news/introducing-debussy/">Introducing Debussy</a> ·
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  📦 <a href="https://debussylabs.com/releases/">Releases</a></p>
 
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  <p><small>Built with help from Claude, Anthropic's AI assistant. Debussy is not an Anthropic model.</small></p>
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  </body>
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  </html>
 
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  <title>Debussy Labs</title>
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  </head>
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  <body>
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+ <!-- Hugging Face shows this file as the organisation card on huggingface.co/debussylabs. It strips CSS and paragraph
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+ margins, so the spacing between sections is done with <br>. Keep it simple HTML. -->
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  <p align="center"><img src="https://huggingface.co/spaces/debussylabs/README/resolve/main/debussy-labs-banner.png" width="327" height="86" alt="Debussy Labs"></p>
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+ <br>
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  <p><b>Debussy Labs</b> builds fast, honest decision models for AI agents.</p>
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+ <br>
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  <p>Our first model, <b>Debussy</b>, is an open <i>System 1</i> decision model. It makes the quick calls an agent needs
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  (is this request safe, should I call this tool, do I actually know this) in a single pass on an ordinary CPU, and it
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  says “I don't know” when it doesn't.</p>
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+ <br>
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  <p><b>Models</b></p>
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  <ul>
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  <li><a href="https://huggingface.co/debussylabs/debussy"><b>debussylabs/debussy</b></a>: safety judgements, tool-call routing
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  and knowledge questions with “I don't know”. Apache-2.0.</li>
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  </ul>
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+ <br>
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  <p><b>Estimated Decision Index ≈ 63.7</b> on the Artificial Analysis Decision Index (our own estimate, not an official
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  score). Built and evaluated on a 4-core CPU, with no GPU and no API key.</p>
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+ <br>
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  <p>🌐 <a href="https://debussylabs.com">debussylabs.com</a> · 💻 <a href="https://github.com/abutauskas/Debussy">GitHub</a> ·
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  📰 <a href="https://debussylabs.com/news/introducing-debussy/">Introducing Debussy</a> ·
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  📦 <a href="https://debussylabs.com/releases/">Releases</a></p>
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+ <br>
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  <p><small>Built with help from Claude, Anthropic's AI assistant. Debussy is not an Anthropic model.</small></p>
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  </body>
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  </html>