rUv 04b26c8d69 feat: Add PowerInfer-style sparse inference engine with precision lanes (#106) ... ## Summary - Add PowerInfer-style sparse inference engine with precision lanes - Add memory module with QuantizedWeights and NeuronCache - Fix compilation and test issues - Demonstrated 2.9-8.7x speedup at typical sparsity levels - Published to crates.io as ruvector-sparse-inference v0.1.30 ## Key Features - Low-rank predictor using P·Q matrix factorization for fast neuron selection - Sparse FFN kernels that only compute active neurons - SIMD optimization for AVX2, SSE4.1, NEON, and WASM SIMD - GGUF parser with full quantization support (Q4_0 through Q6_K) - Precision lanes (3/5/7-bit layered quantization) - π integration for low-precision systems 🤖 Generated with [Claude Code](https://claude.com/claude-code)		2026-01-04 23:40:31 -05:00
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ARCHITECTURE.md	feat: Add PowerInfer-style sparse inference engine with precision lanes (#106)	2026-01-04 23:40:31 -05:00