Llm, AI, Deep Learning, Optimization.
average min-max, or histogram. 5. Model Conversion: Remove observers and convert float32 operators to int8 counterparts. 6. Quantized Model Evaluation: Check if accuracy meets the requirements; if not, consider quantization-aware training. Conclusion: In the realm of large language models (LLMs),