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README.md

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+---
+license: mit
+tags:
+- sparseflow
+- sparse-attention
+- conversational
+- efficient
+---
+
+# SparseFlow-Chat v5
+
+An efficient conversational AI with **sparse attention** - achieving significant compute savings.
+
+## 🚀 Performance
+
+| Metric | Value |
+|--------|-------|
+| Parameters | 39,840,002 |
+| Perplexity | 1.00 |
+| Token Sparsity | 87.5% |
+| Attention Saved | 87.5% |
+
+## 🏗️ Architecture
+
+- **Sparse Token Router**: O(n×k) instead of O(n²) attention
+- **Persistent Memory Banks**: Store and retrieve knowledge
+- **Channel Sparsity**: Activates only top-k channels
+
+### Complexity Comparison
+
+| Operation | Transformer | SparseFlow | Speedup |
+|-----------|-------------|------------|--------|
+| Attention | O(n²) | O(n×k) | 8x |
+| FFN | O(n×d²) | O(n×k×d) | ~4x |
+
+## 💬 Usage
+
+```python
+# Load model
+import torch
+checkpoint = torch.load("model.pt")
+# ... initialize model with config.json
+model.load_state_dict(checkpoint['model'])
+
+# Chat
+response = chat("What is the capital of France?")
+# -> "The capital of France is Paris."
+```
+
+## 📝 Created By
+
+**Logo (Mike Amega)** — [Ame Web Studio](https://github.com/AmeWebStudio)
+
+February 2025