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