Llm, AI, Deep Learning, Optimization.
causing overflow or underflow issues. 2. Symmetric vs. Affine Quantization: The choice between symmetric and affine quantization impacts the arithmetic operations and precision of the quantized model. 3. Per-Tensor vs. Per-Channel Quantization: The granularity of quantization parameters can be