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README.md
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sdk: gradio
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sdk_version: 4.0.0
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app_file: app.py
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pinned: false
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license: mit
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---
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# π ASI V2.5 Live Demo
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Interactive demonstration of ASI V2.5 Ultra-Professional Linear Attention achieving **2.44x speedup** with 91.7% layer coverage.
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## Features
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π₯ **Live Benchmark**: Run real-time performance comparisons
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π **Interactive Charts**: Visualize speedup and timing results
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π **Installation Guide**: Copy-paste setup instructions
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π **Validated Results**: Official performance metrics
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## Validated Performance
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- β‘ **2.44x speedup** on Longformer-4096
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- π **Linear complexity** O(L) vs O(LΒ²)
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- π― **91.7% layer coverage** in real models
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- π **Apple Silicon MPS** optimized
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- π§ **Production ready** with comprehensive testing
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## Quick Installation
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```bash
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pip install git+https://github.com/khopilot/asi-v25-longformer-core.git
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```
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## Usage
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```python
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from asi_v25 import create_asi_attention
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# Create ultra-fast attention
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attention = create_asi_attention(use_extreme=True)
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```
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## Links
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- π **Source**: [GitHub Repository](https://github.com/khopilot/asi-v25-longformer-core)
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- π€ **Model Hub**: [HuggingFace Hub](https://huggingface.co/khopilot/asi-v25-longformer-core)
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- π **Examples**: Check `examples/` for reproduction scripts
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gradio>=5.0.0
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torch>=1.12.0
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numpy>=1.21.0
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matplotlib>=3.5.0
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git+https://github.com/khopilot/asi-v25-longformer-core.git
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