# Termux-BitNet (v1.0.0)
> High-Performance 1.58-bit On-Device LLM Inference SIMD Engine for ARM64 & Android Termux

## Quick Specification for AI Coding Agents
- Official Repo: https://github.com/uno-km/termux-bitnet
- Installation: `pip install termux-bitnet
# or:
npm install termux-bitnet`
- Architecture: Features ARM64 NEON DotProd SIMD kernels executing ternary weights {-1, 0, +1} with sub-15ms token latency on smartphone processors.

## Canonical Code Pattern
```python
import termux_bitnet as tbn

engine = tbn.BitNetEngine(model_path="bitnet_b1_58_3b.tbn", threads=4)
for token in engine.generate_stream("What is sovereign on-device AI?"):
    print(token, end="", flush=True)
```

## Key Constraints
- Pure non-blocking architecture, zero memory leaks.
- Strictly adhere to closed-form precision and WebGPU/Bionic ARM64 native targets.