🔮 Model card

models/README.md

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+---
+license: mit
+tags:
+- quine
+- dreamerv3
+- neuroevolution
+- glass-box-ai
+- world-model
+- reinforcement-learning
+---
+
+# 🔮 Champion Gen42 - Glass Box Quine Brain
+
+> **THIS IS THE OPPOSITE OF A BLACK BOX**  
+> Every weight, decision, and mutation is fully transparent.
+
+## ▶️ Try It Live
+
+**[🌌 CASCADE Hyperlattice Demo](https://huggingface.co/spaces/tostido/cascade-hyperlattice)** — Real-time 3D visualization with HOLD protocol
+
+---
+
+## What Is This?
+
+A **self-contained, merkle-hashed AI agent** that can:
+- Run inference with full transparency
+- Verify its own integrity via quine hash
+- Be replicated without external dependencies
+- Log every decision to a provenance chain
+
+### Architecture
+
+```
+TIER 1 - RSSM (Recurrent State Space Model)
+  • DreamerV3 L-size: deter=4096, stoch=32x32
+  • Total latent: 5120 dimensions
+  
+TIER 2 - LoRA Adapter (EVOLVED)
+  • ~82K parameters, rank=16
+  • Maps latent → 8 action logits
+  
+TIER 3 - Evolved Traits
+  • Hyperparameters discovered via NEAT-style evolution
+```
+
+### Quine Properties
+
+| Property | Value |
+|----------|-------|
+| Merkle Hash | `38438eb04586975cda66a08fd3c447bb` |
+| Generation | 42 |
+| Fitness | 0.5879 |
+| Brain Type | DreamerV3 |
+
+---
+
+## Quick Start
+
+```python
+# Load from Hugging Face
+from huggingface_hub import hf_hub_download
+import importlib.util
+
+path = hf_hub_download(
+    repo_id="tostido/key-data",
+    filename="models/champion_gen42.py",
+    repo_type="dataset"
+)
+
+spec = importlib.util.spec_from_file_location("champion", path)
+champion = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(champion)
+
+# Create agent
+agent = champion.ChampionAgent()
+
+# Verify integrity
+assert agent.verify_quine_integrity()
+
+# Run inference
+obs = [0.0] * 64  # Your observation
+action_probs, value = agent.forward(obs)
+print(f"Action: {action_probs.argmax()}, Value: {value:.4f}")
+
+# Full transparency
+agent.show_readme()
+```
+
+---
+
+## 🛑 HOLD Protocol
+
+Human-in-the-loop oversight at inference time:
+
+```python
+# Run with HOLD (requires cascade-lattice)
+result = agent.forward_hold(obs, blocking=True, timeout=30.0)
+
+# Result includes:
+# - action: final action taken
+# - was_override: True if human intervened
+# - hold_id: merkle hash of decision point
+```
+
+---
+
+## 💼 Quine Brain Conversion Service
+
+**Want your model wrapped as a Glass Box Quine Brain?**
+
+I offer conversion services for:
+- Custom RL agents
+- Foundation models
+- Any PyTorch/JAX model
+
+**What you get:**
+- ✅ Self-contained single-file capsule
+- ✅ Merkle-hashed provenance
+- ✅ Quine verification (tamper-proof)
+- ✅ HOLD protocol integration
+- ✅ Full transparency APIs
+
+📧 Contact: [your-email or discord]
+
+---
+
+## Files
+
+| File | Description |
+|------|-------------|
+| `champion_gen42.py` | The complete quine brain (~50MB with embedded weights) |
+| `requirements.txt` | Dependencies for running locally |
+
+---
+
+## License
+
+MIT — Use freely, but the quine hash proves provenance.