Implementation of Linear Quantization for Deep Neural Networks on Tensorflow
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Updated
Nov 8, 2019 - Python
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linear-quantization
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Learn linear quantization techniques using the Quanto library and downcasting methods with the Transformers library to compress and optimize generative AI models effectively.
compression optimize quantization model-compression model-deployment linear-quantization transformers-library model-optimization hugging-face generative-ai downcasting quanto-library quantization-fundamentals
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Apr 23, 2024 - Jupyter Notebook
Dive into advanced quantization techniques. Learn to implement and customize linear quantization functions, measure quantization error, and compress model weights using PyTorch for efficient and accessible AI models.
machine-learning quantization model-compression linear-quantization quantization-error ai-optimization advanced-quantization symmetric-quantization asymmetric-quantization per-tensor-granularity per-channel-granularity per-group-granularity pytorch-quantizer weight-packing 8-bit-compression 2-bit-weights
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May 22, 2024 - Jupyter Notebook
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