HuggingFace Introduces Quanto: A Python Quantization Toolkit to Reduce the Computational and Memory Costs of Evaluating Deep Learning Models

HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as mobile phones and embedded systems. Instead of using the standard 32-bit floating-point numbers (float32) for representing their weights and activations, the model uses low-precision data types like 8-bit integers (int8) that reduce the computational and […]

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