Llm, AI, Deep Learning, Optimization.
operators to INT8 precision, employing diverse calibration methods and granularities (per channel or per tensor). This approach accommodates layers that thrive in higher precision due to sensitivity, as well as those that excel with INT8 precision. By offering the flexibility to tailor quantization