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Update org card: DD paper published, list public PoC models post-migration
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<h1>Tinman Lab</h1>
<h3>Autonomous Machines. Second-Order Systems.</h3>
<div class="sub">AGENT MEMORY &middot; ADVERSARIAL SAFETY &middot; AGENTIC ECONOMY &middot; PERCEPTION SYSTEMS &middot; APPLIED RESEARCH</div>
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<p>We build on-device AI systems that reason, remember, and self-correct β€” small models designed to run autonomously at the edge with calibrated uncertainty and adversarial robustness.</p>
<h2>Research Areas</h2>
<ul>
<li><strong>Agent Memory</strong> β€” Encrypted semantic memory infrastructure for persistent agent context</li>
<li><strong>Adversarial Safety</strong> β€” Multi-agent stress-testing and trust verification for autonomous systems</li>
<li><strong>Perception Systems</strong> β€” On-device vision, voice, and multimodal understanding</li>
<li><strong>Disposition Distillation</strong> β€” A three-arc study finding that imitation, attention-head tempering, and frozen-base sidecars all fail to move judge-measured disposition without damaging content quality at sub-billion scale (<a href="https://arxiv.org/abs/2604.11867">arXiv:2604.11867</a>).</li>
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<h2>Open-Source Releases</h2>
<p><strong>Tinman SmolOmni (MLA)</strong> β€” small omnimodal models with multi-head latent attention.</p>
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<tr><th>Model</th><th>Description</th></tr>
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<tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-SmolOmni-MLA-256M">Tinman-SmolOmni-MLA-256M</a></td><td>256M parameter omnimodal</td></tr>
<tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-SmolOmni-MLA-500M">Tinman-SmolOmni-MLA-500M</a></td><td>500M parameter omnimodal</td></tr>
<tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-SmolOmni-MLA-Toolkit">Tinman-SmolOmni-MLA-Toolkit</a></td><td>Training and inference toolkit</td></tr>
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<p><strong>Tinman Companion</strong> β€” Gemma 4 fine-tunes for on-device companion use cases.</p>
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<tr><th>Model</th><th>Description</th></tr>
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<tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-merged">Tinman-gemma4-companion-merged</a></td><td>Full-precision merged model</td></tr>
<tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-gguf">Tinman-gemma4-companion-gguf</a></td><td>GGUF quantized for llama.cpp</td></tr>
<tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-litert-lm">Tinman-gemma4-companion-litert-lm</a></td><td>LiteRT-LM for on-device deployment</td></tr>
<tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-sft">Tinman-gemma4-companion-sft</a></td><td>SFT checkpoint</td></tr>
<tr><td><a href="https://huggingface.co/Tinman-Lab/Tinman-gemma4-companion-dpo">Tinman-gemma4-companion-dpo</a></td><td>DPO checkpoint</td></tr>
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<h2>Links</h2>
<p class="links">
<a href="https://tinmanlab.com">Website</a>
<a href="https://github.com/tinmanlabsl/">GitHub</a>
<a href="https://arxiv.org/abs/2604.11867">Paper (arXiv)</a>
<a href="https://github.com/tinmanlabsl/disposition-distillation">DD Artifacts</a>
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