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README.md

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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<div align="center">
+
+# Tinman Lab
+
+### Autonomous Machines. Second-Order Systems.
+
+<sub>AGENT MEMORY · ADVERSARIAL SAFETY · AGENTIC ECONOMY · PERCEPTION SYSTEMS · APPLIED RESEARCH</sub>
+
+---
+
+</div>
+
+## Disposition Distillation
+
+Tinman Lab develops **Disposition Distillation (DD)** — a multi-teacher distillation methodology that trains *how a model behaves* into weights, not system prompts. DD models plan before acting, acknowledge uncertainty, verify their own reasoning, and know what they don't know.
+
+- **4-stage all-MIT pipeline** — Kimi K2.5 → GLM-5 → MiniMax M2.7 → GLM-5
+- **7 behavioral dispositions** — Eager, Deliberate, Adversarial, Curious, Self-Improving, Humble, Persistent
+- **On-device focus** — 0.6B to 2B parameters, quantized for mobile and edge deployment
+- **100% open training data** — MIT-licensed teachers only, zero proprietary model outputs
+
+## Models
+
+| Model | Size | Description |
+|-------|------|-------------|
+| [tinman-code-0.6B](https://huggingface.co/Tinman-Lab/tinman-code-0.6B) | 418 MB | Coding assistant with meta-cognitive awareness — plans, verifies, flags uncertainty |
+
+## Links
+
+- [Website](https://tinmanlab.com)
+- [GitHub](https://github.com/tinmanlabsl/)
+- Research Paper — coming soon