Building a Native 1-Bit LLM Engine in Pure Rust: Achieving 150+ TPS and 350MB Memory Footprint on Edge CPUs. [P]

In three linesEngineer builds native 1-bit LLM inference engine in pure Rust, bypassing PyTorch and CUDA. Demonstrates 150+ tokens/sec and 350MB RAM footprint on edge CPUs with quantized TinyLlama. Introduces proprietary residual error recovery algorithm achieving 16x compression while maintaining fluency.

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