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<li><strong>Disposition Distillation</strong> — Training behavioral tendencies (planning, uncertainty acknowledgment, self-verification) into sub-billion parameter model weights via all-MIT multi-teacher distillation</li>
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<td><a href="https://huggingface.co/Tinman-Lab/tinman-code-0.6B">tinman-code-0.6B</a></td>
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<td>418 MB</td>
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<li><strong>Disposition Distillation</strong> — Training behavioral tendencies (planning, uncertainty acknowledgment, self-verification) into sub-billion parameter model weights via all-MIT multi-teacher distillation</li>
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<h2>Research Releases</h2>
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<td><a href="https://huggingface.co/Tinman-Lab/tinman-code-0.6B">tinman-code-0.6B</a></td>
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<td>418 MB</td>
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<td>Research release — Disposition Distillation proof-of-concept on Qwen3-0.6B</td>
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