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33### Core Numerical Optimizations
44- ** Quantized Weight Support**
5- - Optimized implementations for Q8_0 and Q4_0 formats
6- - Block-based quantization with FP16 scale per 32-element block
7- - ** Vectorized Matrix Operations**
8- - Uses vector parallelism with configurable unroll factors
9- - Processes 4 elements at once with vectorization
10- - ** Loop Unrolling**
11- - Strategic unrolling for performance (16x factor in matrix operations)
12- - Reduces branch penalties and improves instruction-level parallelism
13- - ** Fused Multiply-Add (FMA)**
14- - Uses fused operations for better numerical precision and performance
15- - Optimizes dot product calculations
5+ - Optimized implementations for FP16 format
6+ - [ * Experimental* ] support for Q8 and Q4 with dequantize to FP16
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178### Memory and Caching Optimizations
189- ** Key-Value Cache**
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