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README.md

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----
-license: mit
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+---
+tags:
+- mamba
+- recursive-flow
+- pytorch
+- custom-architecture
+---
+
+# Recursive-Flow Mamba-2 (1.5B)
+
+This is an experimental AI model trained on an H100 using a custom **Recursive-Flow Mamba** architecture.
+
+## Architecture Details
+- **Base:** Mamba-2 (State Space Model)
+- **Parameters:** ~1.5 Billion
+- **Physical Layers:** 24
+- **Recursive Depth:** 3 Loops per layer (Effective Depth: 72)
+- **Training Data:** OpenMathInstruct-2 (Math Logic Focus)
+
+## How to Run
+This model requires custom code to handle the recursive loops. 
+See the `chat.py` script used during training to load the weights.