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| title: NuWave | |
| emoji: π§ | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| license: agpl-3.0 | |
| # NuWave β Your Model Gets Smarter Over Time | |
| CPU-native AI through compound context optimization. | |
| Powered by **BitNet b1.58-2B-4T** β Microsoft's ternary weight model (1.58 bits per weight, addition-only inference, 0.4GB memory). No GPU needed. | |
| ## How It Works | |
| - **KISS** (Keep Input Simple, Substrate) β filters redundant context. System prompt skipped when unchanged. Old conversation history compressed to summaries. | |
| - **Pith** (The Living Context Lens) β manages the context window as a cache hierarchy. Strips clutter, evicts cold entries, promotes what's relevant. | |
| - **BitNet** β ternary weights {-1, 0, +1} replace floating-point multiplication with addition. CPU-native by design. | |
| Together they compound: cleaner input β less processing β better context β sharper reasoning β both improve. | |
| ## Demo | |
| Two tabs: | |
| 1. **Live Chat** β talk to the model, see KISS/Pith metrics in real time (tokens saved, system skipped, clutter stripped) | |
| 2. **A/B Benchmark** β same conversation through baseline vs NuWave. Watch tokens drop and time decrease as KISS learns what's redundant. | |