README.md

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  <h1>Tinman Lab</h1>
  <h3>Autonomous Machines. Second-Order Systems.</h3>
  <div class="sub">AGENT MEMORY · ADVERSARIAL SAFETY · AGENTIC ECONOMY · PERCEPTION SYSTEMS · APPLIED RESEARCH</div>
</div>

<hr>

<p>We build on-device AI systems that reason, remember, and self-correct — 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> — Encrypted semantic memory infrastructure for persistent agent context</li>
  <li><strong>Adversarial Safety</strong> — Multi-agent stress-testing and trust verification for autonomous systems</li>
  <li><strong>Perception Systems</strong> — On-device vision, voice, and multimodal understanding</li>
  <li><strong>Disposition Distillation</strong> — 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>
</ul>

<h2>Open-Source Releases</h2>

<p><strong>Tinman SmolOmni (MLA)</strong> — small omnimodal models with multi-head latent attention.</p>

<table>
  <thead>
    <tr><th>Model</th><th>Description</th></tr>
  </thead>
  <tbody>
    <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>
  </tbody>
</table>

<p><strong>Tinman Companion</strong> — Gemma 4 fine-tunes for on-device companion use cases.</p>

<table>
  <thead>
    <tr><th>Model</th><th>Description</th></tr>
  </thead>
  <tbody>
    <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>
  </tbody>
</table>

<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>
</p>

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